>Warning. Command name: GET DATA
>(2111) Encountered a String type value in a column not of that type. Value
>will be mapped to the system missing value.
>* (Row# 206, Column# 39)
>Warning. Command name: GET DATA
>(2111) Encountered a String type value in a column not of that type. Value
>will be mapped to the system missing value.
>* (Row# 206, Column# 40)
>Warning. Command name: GET DATA
>(2111) Encountered a String type value in a column not of that type. Value
>will be mapped to the system missing value.
>* (Row# 206, Column# 41)
>Warning. Command name: GET DATA
>(2111) Encountered a String type value in a column not of that type. Value
>will be mapped to the system missing value.
>* (Row# 206, Column# 42)
Logistic Regression
Notes
| Output Created |
10-FEB-2003 11:13:41 |
| Comments |
|
| Input |
Data |
C:\My Documents\Alison\SPSS s.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
933 |
| Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing |
| Syntax |
LOGISTIC REGRESSION VAR=status /METHOD=FSTEP(LR) dist_roa dist_wet dist_for dist_non elevatio aspect_t slope for_perc wet_perc non_perc tc_dist so_dist rv_dist rclam_di rcat_dis pc_dist nv_dist hc_dist bf_dist am_dist ac_dist nwet nnonfor nfor ndist /SAVE PRED /CLASSPLOT /CASEWISE /PRINT=GOODFIT SUMMARY /CRITERIA PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
|
| Variables Created or Modified |
PRE_1 |
Predicted probability |
| Resources |
Elapsed Time |
0:00:02.36 |
Case Processing Summary
| Unweighted Cases(a) |
N |
Percent |
| Selected Cases |
Included in Analysis |
932 |
99.9 |
| Missing Cases |
1 |
.1 |
| Total |
933 |
100.0 |
| Unselected Cases |
0 |
.0 |
| Total |
933 |
100.0 |
| a If weight is in effect, see classification table for the total number of cases.
|
Dependent Variable Encoding
| Original Value |
Internal Value |
| Absent |
0 |
| Present |
1 |
Block 0: Beginning Block
Classification Table(a,b)
|
Predicted |
| STATUS |
Percentage Correct |
| Observed |
Absent |
Present |
| Step 0 |
STATUS |
Absent |
902 |
0 |
100.0 |
| Present |
30 |
0 |
.0 |
| Overall Percentage |
|
|
96.8 |
| a Constant is included in the model. |
| b The cut value is .500
|
Variables in the Equation
|
B |
S.E. |
Wald |
df |
Sig. |
Exp(B) |
| Step 0 |
Constant |
-3.403 |
.186 |
336.319 |
1 |
.000 |
.033 |
Variables not in the Equation(a)
|
Score |
df |
Sig. |
| Step 0 |
Variables |
DIST_ROA |
1.931 |
1 |
.165 |
| DIST_WET |
25.057 |
1 |
.000 |
| DIST_FOR |
3.004 |
1 |
.083 |
| DIST_NON |
1.002 |
1 |
.317 |
| ELEVATIO |
5.719 |
1 |
.017 |
| ASPECT_T |
2.315 |
1 |
.128 |
| SLOPE |
.832 |
1 |
.362 |
| FOR_PERC |
10.578 |
1 |
.001 |
| WET_PERC |
45.974 |
1 |
.000 |
| NON_PERC |
.098 |
1 |
.755 |
| TC_DIST |
1.577 |
1 |
.209 |
| SO_DIST |
20.060 |
1 |
.000 |
| RV_DIST |
24.721 |
1 |
.000 |
| RCLAM_DI |
17.211 |
1 |
.000 |
| RCAT_DIS |
13.991 |
1 |
.000 |
| PC_DIST |
.950 |
1 |
.330 |
| NV_DIST |
14.469 |
1 |
.000 |
| HC_DIST |
3.654 |
1 |
.056 |
| BF_DIST |
6.944 |
1 |
.008 |
| AM_DIST |
5.189 |
1 |
.023 |
| AC_DIST |
21.699 |
1 |
.000 |
| NWET |
87.870 |
1 |
.000 |
| NNONFOR |
.002 |
1 |
.961 |
| NFOR |
56.467 |
1 |
.000 |
| NDIST |
1.589 |
1 |
.208 |
| a Residual Chi-Squares are not computed because of redundancies.
|
Block 1: Method = Forward Stepwise (Likelihood Ratio)
Omnibus Tests of Model Coefficients
|
Chi-square |
df |
Sig. |
| Step 1 |
Step |
58.510 |
1 |
.000 |
| Block |
58.510 |
1 |
.000 |
| Model |
58.510 |
1 |
.000 |
| Step 2 |
Step |
23.857 |
1 |
.000 |
| Block |
82.367 |
2 |
.000 |
| Model |
82.367 |
2 |
.000 |
| Step 3 |
Step |
20.783 |
1 |
.000 |
| Block |
103.150 |
3 |
.000 |
| Model |
103.150 |
3 |
.000 |
| Step 4 |
Step |
12.465 |
1 |
.000 |
| Block |
115.614 |
4 |
.000 |
| Model |
115.614 |
4 |
.000 |
| Step 5 |
Step |
13.078 |
1 |
.000 |
| Block |
128.692 |
5 |
.000 |
| Model |
128.692 |
5 |
.000 |
| Step 6 |
Step |
4.515 |
1 |
.034 |
| Block |
133.208 |
6 |
.000 |
| Model |
133.208 |
6 |
.000 |
| Step 7 |
Step |
3.741 |
1 |
.053 |
| Block |
136.948 |
7 |
.000 |
| Model |
136.948 |
7 |
.000 |
Model Summary
| Step |
-2 Log likelihood |
Cox & Snell R Square |
Nagelkerke R Square |
| 1 |
206.682 |
.061 |
.246 |
| 2 |
182.825 |
.085 |
.342 |
| 3 |
162.042 |
.105 |
.423 |
| 4 |
149.577 |
.117 |
.471 |
| 5 |
136.500 |
.129 |
.521 |
| 6 |
131.984 |
.133 |
.538 |
| 7 |
128.244 |
.137 |
.552 |
Hosmer and Lemeshow Test
| Step |
Chi-square |
df |
Sig. |
| 1 |
3.004 |
3 |
.391 |
| 2 |
12.467 |
8 |
.132 |
| 3 |
3.965 |
8 |
.860 |
| 4 |
10.830 |
8 |
.212 |
| 5 |
17.633 |
8 |
.024 |
| 6 |
9.270 |
8 |
.320 |
| 7 |
5.806 |
8 |
.669 |
Contingency Table for Hosmer and Lemeshow Test
|
STATUS = Absent |
STATUS = Present |
Total |
| Observed |
Expected |
Observed |
Expected |
| Step 1 |
1 |
520 |
518.900 |
3 |
4.100 |
523 |
| 2 |
100 |
98.970 |
0 |
1.030 |
100 |
| 3 |
92 |
91.137 |
1 |
1.863 |
93 |
| 4 |
87 |
89.122 |
6 |
3.878 |
93 |
| 5 |
103 |
103.871 |
20 |
19.129 |
123 |
| Step 2 |
1 |
93 |
92.945 |
0 |
.055 |
93 |
| 2 |
93 |
92.853 |
0 |
.147 |
93 |
| 3 |
94 |
93.739 |
0 |
.261 |
94 |
| 4 |
93 |
92.586 |
0 |
.414 |
93 |
| 5 |
90 |
92.417 |
3 |
.583 |
93 |
| 6 |
93 |
92.253 |
0 |
.747 |
93 |
| 7 |
92 |
91.941 |
1 |
1.059 |
93 |
| 8 |
91 |
91.048 |
2 |
1.952 |
93 |
| 9 |
87 |
88.386 |
6 |
4.614 |
93 |
| 10 |
76 |
73.831 |
18 |
20.169 |
94 |
| Step 3 |
1 |
93 |
92.983 |
0 |
.017 |
93 |
| 2 |
93 |
92.942 |
0 |
.058 |
93 |
| 3 |
93 |
92.881 |
0 |
.119 |
93 |
| 4 |
93 |
92.786 |
0 |
.214 |
93 |
| 5 |
92 |
92.672 |
1 |
.328 |
93 |
| 6 |
92 |
92.472 |
1 |
.528 |
93 |
| 7 |
91 |
92.046 |
2 |
.954 |
93 |
| 8 |
91 |
91.450 |
2 |
1.550 |
93 |
| 9 |
88 |
88.420 |
4 |
3.580 |
92 |
| 10 |
76 |
73.347 |
20 |
22.653 |
96 |
| Step 4 |
1 |
94 |
93.996 |
0 |
.004 |
94 |
| 2 |
93 |
92.982 |
0 |
.018 |
93 |
| 3 |
93 |
92.955 |
0 |
.045 |
93 |
| 4 |
93 |
92.910 |
0 |
.090 |
93 |
| 5 |
93 |
92.837 |
0 |
.163 |
93 |
| 6 |
92 |
93.675 |
2 |
.325 |
94 |
| 7 |
92 |
92.355 |
1 |
.645 |
93 |
| 8 |
90 |
91.347 |
3 |
1.653 |
93 |
| 9 |
90 |
88.949 |
3 |
4.051 |
93 |
| 10 |
72 |
69.991 |
21 |
23.009 |
93 |
| Step 5 |
1 |
93 |
93.000 |
0 |
.000 |
93 |
| 2 |
93 |
92.998 |
0 |
.002 |
93 |
| 3 |
93 |
92.991 |
0 |
.009 |
93 |
| 4 |
93 |
92.974 |
0 |
.026 |
93 |
| 5 |
91 |
91.935 |
1 |
.065 |
92 |
| 6 |
93 |
92.848 |
0 |
.152 |
93 |
| 7 |
93 |
92.613 |
0 |
.387 |
93 |
| 8 |
91 |
91.932 |
2 |
1.068 |
93 |
| 9 |
87 |
89.593 |
6 |
3.407 |
93 |
| 10 |
75 |
71.116 |
21 |
24.884 |
96 |
| Step 6 |
1 |
93 |
93.000 |
0 |
.000 |
93 |
| 2 |
93 |
92.999 |
0 |
.001 |
93 |
| 3 |
93 |
92.995 |
0 |
.005 |
93 |
| 4 |
93 |
92.984 |
0 |
.016 |
93 |
| 5 |
93 |
92.954 |
0 |
.046 |
93 |
| 6 |
92 |
92.877 |
1 |
.123 |
93 |
| 7 |
93 |
92.561 |
0 |
.439 |
93 |
| 8 |
92 |
91.913 |
1 |
1.087 |
93 |
| 9 |
87 |
89.578 |
6 |
3.422 |
93 |
| 10 |
73 |
70.140 |
22 |
24.860 |
95 |
| Step 7 |
1 |
93 |
93.000 |
0 |
.000 |
93 |
| 2 |
93 |
92.999 |
0 |
.001 |
93 |
| 3 |
92 |
91.997 |
0 |
.003 |
92 |
| 4 |
93 |
92.989 |
0 |
.011 |
93 |
| 5 |
95 |
94.967 |
0 |
.033 |
95 |
| 6 |
93 |
92.903 |
0 |
.097 |
93 |
| 7 |
92 |
92.637 |
1 |
.363 |
93 |
| 8 |
91 |
92.039 |
2 |
.961 |
93 |
| 9 |
86 |
88.750 |
6 |
3.250 |
92 |
| 10 |
74 |
69.717 |
21 |
25.283 |
95 |
Classification Table(a)
|
Predicted |
| STATUS |
Percentage Correct |
| Observed |
Absent |
Present |
| Step 1 |
STATUS |
Absent |
899 |
3 |
99.7 |
| Present |
30 |
0 |
.0 |
| Overall Percentage |
|
|
96.5 |
| Step 2 |
STATUS |
Absent |
901 |
1 |
99.9 |
| Present |
26 |
4 |
13.3 |
| Overall Percentage |
|
|
97.1 |
| Step 3 |
STATUS |
Absent |
900 |
2 |
99.8 |
| Present |
23 |
7 |
23.3 |
| Overall Percentage |
|
|
97.3 |
| Step 4 |
STATUS |
Absent |
900 |
2 |
99.8 |
| Present |
19 |
11 |
36.7 |
| Overall Percentage |
|
|
97.7 |
| Step 5 |
STATUS |
Absent |
901 |
1 |
99.9 |
| Present |
19 |
11 |
36.7 |
| Overall Percentage |
|
|
97.9 |
| Step 6 |
STATUS |
Absent |
900 |
2 |
99.8 |
| Present |
17 |
13 |
43.3 |
| Overall Percentage |
|
|
98.0 |
| Step 7 |
STATUS |
Absent |
900 |
2 |
99.8 |
| Present |
18 |
12 |
40.0 |
| Overall Percentage |
|
|
97.9 |
| a The cut value is .500
|
Variables in the Equation
|
B |
S.E. |
Wald |
df |
Sig. |
Exp(B) |
| Step 1(a) |
NWET |
5.571 |
.757 |
54.123 |
1 |
.000 |
262.753 |
| Constant |
-4.841 |
.365 |
175.758 |
1 |
.000 |
.008 |
| Step 2(b) |
SO_DIST |
-.001 |
.000 |
14.123 |
1 |
.000 |
.999 |
| NWET |
6.114 |
.895 |
46.612 |
1 |
.000 |
452.032 |
| Constant |
-4.090 |
.436 |
87.830 |
1 |
.000 |
.017 |
| Step 3(c) |
SO_DIST |
-.001 |
.000 |
15.482 |
1 |
.000 |
.999 |
| NV_DIST |
-.002 |
.001 |
13.430 |
1 |
.000 |
.998 |
| NWET |
6.830 |
1.015 |
45.298 |
1 |
.000 |
925.534 |
| Constant |
-3.476 |
.470 |
54.806 |
1 |
.000 |
.031 |
| Step 4(d) |
SO_DIST |
-.001 |
.000 |
14.920 |
1 |
.000 |
.999 |
| NV_DIST |
-.003 |
.001 |
15.561 |
1 |
.000 |
.997 |
| NWET |
8.432 |
1.249 |
45.614 |
1 |
.000 |
4593.956 |
| NDIST |
7.349 |
1.903 |
14.919 |
1 |
.000 |
1555.408 |
| Constant |
-4.317 |
.591 |
53.325 |
1 |
.000 |
.013 |
| Step 5(e) |
SO_DIST |
-.001 |
.000 |
15.785 |
1 |
.000 |
.999 |
| NV_DIST |
-.003 |
.001 |
11.094 |
1 |
.001 |
.997 |
| AC_DIST |
-.004 |
.002 |
6.079 |
1 |
.014 |
.996 |
| NWET |
7.850 |
1.305 |
36.177 |
1 |
.000 |
2566.453 |
| NDIST |
7.536 |
2.023 |
13.882 |
1 |
.000 |
1873.525 |
| Constant |
-3.514 |
.623 |
31.824 |
1 |
.000 |
.030 |
| Step 6(f) |
SO_DIST |
-.001 |
.000 |
13.368 |
1 |
.000 |
.999 |
| PC_DIST |
.001 |
.000 |
4.548 |
1 |
.033 |
1.001 |
| NV_DIST |
-.003 |
.001 |
15.518 |
1 |
.000 |
.997 |
| AC_DIST |
-.004 |
.002 |
6.214 |
1 |
.013 |
.996 |
| NWET |
8.171 |
1.338 |
37.288 |
1 |
.000 |
3536.215 |
| NDIST |
7.542 |
2.010 |
14.084 |
1 |
.000 |
1886.098 |
| Constant |
-4.354 |
.792 |
30.252 |
1 |
.000 |
.013 |
| Step 7(g) |
ELEVATIO |
-.049 |
.025 |
3.830 |
1 |
.050 |
.952 |
| SO_DIST |
-.001 |
.000 |
17.196 |
1 |
.000 |
.999 |
| PC_DIST |
.001 |
.000 |
7.522 |
1 |
.006 |
1.001 |
| NV_DIST |
-.004 |
.001 |
17.093 |
1 |
.000 |
.996 |
| AC_DIST |
-.004 |
.002 |
5.601 |
1 |
.018 |
.996 |
| NWET |
7.420 |
1.430 |
26.918 |
1 |
.000 |
1669.862 |
| NDIST |
8.623 |
2.135 |
16.310 |
1 |
.000 |
5556.194 |
| Constant |
-1.674 |
1.563 |
1.148 |
1 |
.284 |
.187 |
| a Variable(s) entered on step 1: NWET. |
| b Variable(s) entered on step 2: SO_DIST. |
| c Variable(s) entered on step 3: NV_DIST. |
| d Variable(s) entered on step 4: NDIST. |
| e Variable(s) entered on step 5: AC_DIST. |
| f Variable(s) entered on step 6: PC_DIST. |
| g Variable(s) entered on step 7: ELEVATIO.
|
Variables not in the Equation(a)
|
Score |
df |
Sig. |
| Step 1 |
Variables |
DIST_ROA |
.647 |
1 |
.421 |
| DIST_WET |
6.403 |
1 |
.011 |
| DIST_FOR |
.054 |
1 |
.817 |
| DIST_NON |
5.947 |
1 |
.015 |
| ELEVATIO |
8.458 |
1 |
.004 |
| ASPECT_T |
5.055 |
1 |
.025 |
| SLOPE |
.767 |
1 |
.381 |
| FOR_PERC |
.135 |
1 |
.713 |
| WET_PERC |
.519 |
1 |
.471 |
| NON_PERC |
.426 |
1 |
.514 |
| TC_DIST |
.210 |
1 |
.647 |
| SO_DIST |
18.553 |
1 |
.000 |
| RV_DIST |
15.169 |
1 |
.000 |
| RCLAM_DI |
7.499 |
1 |
.006 |
| RCAT_DIS |
12.791 |
1 |
.000 |
| PC_DIST |
3.776 |
1 |
.052 |
| NV_DIST |
18.182 |
1 |
.000 |
| HC_DIST |
7.481 |
1 |
.006 |
| BF_DIST |
10.711 |
1 |
.001 |
| AM_DIST |
2.586 |
1 |
.108 |
| AC_DIST |
14.939 |
1 |
.000 |
| NNONFOR |
.725 |
1 |
.394 |
| NFOR |
9.156 |
1 |
.002 |
| NDIST |
16.228 |
1 |
.000 |
| Step 2 |
Variables |
DIST_ROA |
.716 |
1 |
.397 |
| DIST_WET |
4.683 |
1 |
.030 |
| DIST_FOR |
.803 |
1 |
.370 |
| DIST_NON |
1.819 |
1 |
.177 |
| ELEVATIO |
.641 |
1 |
.423 |
| ASPECT_T |
3.777 |
1 |
.052 |
| SLOPE |
.101 |
1 |
.751 |
| FOR_PERC |
.239 |
1 |
.625 |
| WET_PERC |
.770 |
1 |
.380 |
| NON_PERC |
.182 |
1 |
.670 |
| TC_DIST |
.155 |
1 |
.694 |
| RV_DIST |
6.625 |
1 |
.010 |
| RCLAM_DI |
7.165 |
1 |
.007 |
| RCAT_DIS |
3.350 |
1 |
.067 |
| PC_DIST |
.349 |
1 |
.554 |
| NV_DIST |
16.452 |
1 |
.000 |
| HC_DIST |
9.197 |
1 |
.002 |
| BF_DIST |
3.920 |
1 |
.048 |
| AM_DIST |
.965 |
1 |
.326 |
| AC_DIST |
11.009 |
1 |
.001 |
| NNONFOR |
.304 |
1 |
.581 |
| NFOR |
5.144 |
1 |
.023 |
| NDIST |
11.462 |
1 |
.001 |
| Step 3 |
Variables |
DIST_ROA |
.338 |
1 |
.561 |
| DIST_WET |
4.518 |
1 |
.034 |
| DIST_FOR |
3.507 |
1 |
.061 |
| DIST_NON |
1.592 |
1 |
.207 |
| ELEVATIO |
.304 |
1 |
.581 |
| ASPECT_T |
5.078 |
1 |
.024 |
| SLOPE |
1.635 |
1 |
.201 |
| FOR_PERC |
1.283 |
1 |
.257 |
| WET_PERC |
1.599 |
1 |
.206 |
| NON_PERC |
.677 |
1 |
.411 |
| TC_DIST |
.646 |
1 |
.421 |
| RV_DIST |
3.099 |
1 |
.078 |
| RCLAM_DI |
1.123 |
1 |
.289 |
| RCAT_DIS |
.079 |
1 |
.778 |
| PC_DIST |
7.365 |
1 |
.007 |
| HC_DIST |
2.105 |
1 |
.147 |
| BF_DIST |
.319 |
1 |
.572 |
| AM_DIST |
4.153 |
1 |
.042 |
| AC_DIST |
7.723 |
1 |
.005 |
| NNONFOR |
1.464 |
1 |
.226 |
| NFOR |
11.199 |
1 |
.001 |
| NDIST |
19.994 |
1 |
.000 |
| Step 4 |
Variables |
DIST_ROA |
.795 |
1 |
.373 |
| DIST_WET |
6.175 |
1 |
.013 |
| DIST_FOR |
1.259 |
1 |
.262 |
| DIST_NON |
.108 |
1 |
.742 |
| ELEVATIO |
.017 |
1 |
.895 |
| ASPECT_T |
4.641 |
1 |
.031 |
| SLOPE |
.449 |
1 |
.503 |
| FOR_PERC |
.339 |
1 |
.561 |
| WET_PERC |
2.269 |
1 |
.132 |
| NON_PERC |
.489 |
1 |
.484 |
| TC_DIST |
.240 |
1 |
.624 |
| RV_DIST |
2.048 |
1 |
.152 |
| RCLAM_DI |
1.881 |
1 |
.170 |
| RCAT_DIS |
.180 |
1 |
.672 |
| PC_DIST |
5.390 |
1 |
.020 |
| HC_DIST |
2.067 |
1 |
.151 |
| BF_DIST |
.565 |
1 |
.452 |
| AM_DIST |
2.907 |
1 |
.088 |
| AC_DIST |
7.160 |
1 |
.007 |
| NNONFOR |
.038 |
1 |
.846 |
| NFOR |
.102 |
1 |
.750 |
| Step 5 |
Variables |
DIST_ROA |
1.325 |
1 |
.250 |
| DIST_WET |
3.005 |
1 |
.083 |
| DIST_FOR |
1.209 |
1 |
.272 |
| DIST_NON |
.530 |
1 |
.466 |
| ELEVATIO |
.895 |
1 |
.344 |
| ASPECT_T |
2.870 |
1 |
.090 |
| SLOPE |
.462 |
1 |
.497 |
| FOR_PERC |
.159 |
1 |
.690 |
| WET_PERC |
1.370 |
1 |
.242 |
| NON_PERC |
.155 |
1 |
.694 |
| TC_DIST |
.565 |
1 |
.452 |
| RV_DIST |
.095 |
1 |
.758 |
| RCLAM_DI |
1.070 |
1 |
.301 |
| RCAT_DIS |
1.624 |
1 |
.202 |
| PC_DIST |
4.672 |
1 |
.031 |
| HC_DIST |
.357 |
1 |
.550 |
| BF_DIST |
.016 |
1 |
.900 |
| AM_DIST |
3.175 |
1 |
.075 |
| NNONFOR |
.053 |
1 |
.818 |
| NFOR |
.005 |
1 |
.946 |
| Step 6 |
Variables |
DIST_ROA |
.745 |
1 |
.388 |
| DIST_WET |
3.532 |
1 |
.060 |
| DIST_FOR |
1.657 |
1 |
.198 |
| DIST_NON |
.028 |
1 |
.867 |
| ELEVATIO |
4.255 |
1 |
.039 |
| ASPECT_T |
1.911 |
1 |
.167 |
| SLOPE |
.045 |
1 |
.832 |
| FOR_PERC |
.213 |
1 |
.644 |
| WET_PERC |
1.552 |
1 |
.213 |
| NON_PERC |
.232 |
1 |
.630 |
| TC_DIST |
.707 |
1 |
.401 |
| RV_DIST |
.020 |
1 |
.887 |
| RCLAM_DI |
.950 |
1 |
.330 |
| RCAT_DIS |
1.748 |
1 |
.186 |
| HC_DIST |
.458 |
1 |
.499 |
| BF_DIST |
.107 |
1 |
.744 |
| AM_DIST |
2.245 |
1 |
.134 |
| NNONFOR |
.008 |
1 |
.929 |
| NFOR |
.011 |
1 |
.915 |
| Step 7 |
Variables |
DIST_ROA |
.422 |
1 |
.516 |
| DIST_WET |
2.931 |
1 |
.087 |
| DIST_FOR |
1.306 |
1 |
.253 |
| DIST_NON |
.024 |
1 |
.876 |
| ASPECT_T |
2.010 |
1 |
.156 |
| SLOPE |
.205 |
1 |
.650 |
| FOR_PERC |
.043 |
1 |
.836 |
| WET_PERC |
.479 |
1 |
.489 |
| NON_PERC |
.025 |
1 |
.875 |
| TC_DIST |
.794 |
1 |
.373 |
| RV_DIST |
.718 |
1 |
.397 |
| RCLAM_DI |
3.111 |
1 |
.078 |
| RCAT_DIS |
.717 |
1 |
.397 |
| HC_DIST |
1.004 |
1 |
.316 |
| BF_DIST |
.666 |
1 |
.415 |
| AM_DIST |
.621 |
1 |
.431 |
| NNONFOR |
.159 |
1 |
.690 |
| NFOR |
.134 |
1 |
.714 |
| a Residual Chi-Squares are not computed because of redundancies.
|
Step Summary(a,b)
|
Improvement |
Model |
Correct Class % |
Variable |
| Step |
Chi-square |
df |
Sig. |
Chi-square |
df |
Sig. |
| 1 |
58.510 |
1 |
.000 |
58.510 |
1 |
.000 |
96.5% |
IN: NWET |
| 2 |
23.857 |
1 |
.000 |
82.367 |
2 |
.000 |
97.1% |
IN: SO_DIST |
| 3 |
20.783 |
1 |
.000 |
103.150 |
3 |
.000 |
97.3% |
IN: NV_DIST |
| 4 |
12.465 |
1 |
.000 |
115.614 |
4 |
.000 |
97.7% |
IN: NDIST |
| 5 |
13.078 |
1 |
.000 |
128.692 |
5 |
.000 |
97.9% |
IN: AC_DIST |
| 6 |
4.515 |
1 |
.034 |
133.208 |
6 |
.000 |
98.0% |
IN: PC_DIST |
| 7 |
3.741 |
1 |
.053 |
136.948 |
7 |
.000 |
97.9% |
IN: ELEVATIO |
| a No more variables can be deleted from or added to the current model. |
| b End block: 1
|
Step number: 1
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óAA ó
óAAAA ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Step number: 2
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óAA ó
óAAA ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Step number: 3
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
óA ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óAA ó
óAAA ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Step number: 4
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
óA ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óAA ó
óAAA ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Step number: 5
Observed Groups and Predicted Probabilities
800 ô ô
óA ó
óA ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óA ó
óAAA ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Step number: 6
Observed Groups and Predicted Probabilities
800 ô ô
óA ó
óA ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óA ó
óAAP ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Step number: 7
Observed Groups and Predicted Probabilities
800 ô ô
óA ó
óA ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óA ó
óAAA ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Casewise List
|
Selected Status(a) |
Observed |
Predicted |
Predicted Group |
Temporary Variable |
| Case |
STATUS |
Resid |
ZResid |
| 1 |
S |
A |
.171 |
A |
-.171 |
-.454 |
| 2 |
S |
A |
.031 |
A |
-.031 |
-.178 |
| 3 |
S |
A |
.003 |
A |
-.003 |
-.055 |
| 4 |
S |
A |
.388 |
A |
-.388 |
-.797 |
| 5 |
S |
A |
.000 |
A |
.000 |
-.022 |
| 6 |
S |
A |
.009 |
A |
-.009 |
-.097 |
| 7 |
S |
A |
.000 |
A |
.000 |
-.017 |
| 8 |
S |
A |
.009 |
A |
-.009 |
-.097 |
| 9 |
S |
A |
.035 |
A |
-.035 |
-.189 |
| 10 |
S |
A |
.046 |
A |
-.046 |
-.220 |
| 11 |
S |
A |
.000 |
A |
.000 |
-.017 |
| 12 |
S |
A |
.009 |
A |
-.009 |
-.097 |
| 13 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 14 |
S |
A |
.000 |
A |
.000 |
-.021 |
| 15 |
S |
A |
.030 |
A |
-.030 |
-.177 |
| 16 |
S |
A |
.013 |
A |
-.013 |
-.116 |
| 17 |
S |
A |
.004 |
A |
-.004 |
-.061 |
| 18 |
S |
A |
.002 |
A |
-.002 |
-.050 |
| 19 |
S |
A |
.002 |
A |
-.002 |
-.047 |
| 20 |
S |
A |
.001 |
A |
-.001 |
-.032 |
| 21 |
S |
A |
.000 |
A |
.000 |
.000 |
| 22 |
S |
A |
.000 |
A |
.000 |
-.009 |
| 23 |
S |
A |
.003 |
A |
-.003 |
-.056 |
| 24 |
S |
A |
.000 |
A |
.000 |
-.009 |
| 25 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 26 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 27 |
S |
A |
.001 |
A |
-.001 |
-.034 |
| 28 |
S |
A |
.004 |
A |
-.004 |
-.062 |
| 29 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 30 |
S |
A |
.000 |
A |
.000 |
-.022 |
| 31 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 32 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 33 |
S |
A |
.000 |
A |
.000 |
-.012 |
| 34 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 35 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 36 |
S |
A |
.005 |
A |
-.005 |
-.072 |
| 37 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 38 |
S |
A |
.000 |
A |
.000 |
-.007 |
| 39 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 40 |
S |
A |
.000 |
A |
.000 |
-.018 |
| 41 |
S |
A |
.007 |
A |
-.007 |
-.082 |
| 42 |
S |
A |
.000 |
A |
.000 |
-.016 |
| 43 |
S |
A |
.010 |
A |
-.010 |
-.099 |
| 44 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 45 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 46 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 47 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 48 |
S |
A |
.002 |
A |
-.002 |
-.041 |
| 49 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 50 |
S |
A |
.054 |
A |
-.054 |
-.238 |
| 51 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 52 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 53 |
S |
A |
.000 |
A |
.000 |
-.013 |
| 54 |
S |
A |
.000 |
A |
.000 |
-.007 |
| 55 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 56 |
S |
A |
.000 |
A |
.000 |
-.007 |
| 57 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 58 |
S |
A |
.000 |
A |
.000 |
-.015 |
| 59 |
S |
A |
.006 |
A |
-.006 |
-.075 |
| 60 |
S |
A |
.008 |
A |
-.008 |
-.091 |
| 61 |
S |
A |
.003 |
A |
-.003 |
-.052 |
| 62 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 63 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 64 |
S |
A |
.014 |
A |
-.014 |
-.120 |
| 65 |
S |
A |
.351 |
A |
-.351 |
-.736 |
| 66 |
S |
A |
.039 |
A |
-.039 |
-.202 |
| 67 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 68 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 69 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 70 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 71 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 72 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 73 |
S |
A |
.001 |
A |
-.001 |
-.027 |
| 74 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 75 |
S |
A |
.031 |
A |
-.031 |
-.180 |
| 76 |
S |
A |
.000 |
A |
.000 |
-.013 |
| 77 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 78 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 79 |
S |
A |
.004 |
A |
-.004 |
-.063 |
| 80 |
S |
A |
.001 |
A |
-.001 |
-.023 |
| 81 |
S |
A |
.001 |
A |
-.001 |
-.026 |
| 82 |
S |
A |
.000 |
A |
.000 |
-.022 |
| 83 |
S |
A |
.001 |
A |
-.001 |
-.024 |
| 84 |
S |
A |
.039 |
A |
-.039 |
-.202 |
| 85 |
S |
A |
.003 |
A |
-.003 |
-.056 |
| 86 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 87 |
S |
A |
.000 |
A |
.000 |
-.020 |
| 88 |
S |
A |
.003 |
A |
-.003 |
-.056 |
| 89 |
S |
A |
.000 |
A |
.000 |
-.012 |
| 90 |
S |
A |
.004 |
A |
-.004 |
-.062 |
| 91 |
S |
A |
.000 |
A |
.000 |
-.020 |
| 92 |
S |
A |
.002 |
A |
-.002 |
-.045 |
| 93 |
S |
A |
.002 |
A |
-.002 |
-.042 |
| 94 |
S |
A |
.001 |
A |
-.001 |
-.038 |
| 95 |
S |
A |
.122 |
A |
-.122 |
-.372 |
| 96 |
S |
A |
.001 |
A |
-.001 |
-.030 |
| 97 |
S |
A |
.045 |
A |
-.045 |
-.217 |
| 98 |
S |
A |
.000 |
A |
.000 |
-.020 |
| 99 |
S |
A |
.000 |
A |
.000 |
.000 |
| 100 |
S |
A |
.004 |
A |
-.004 |
-.062 |
| 101 |
S |
A |
.002 |
A |
-.002 |
-.050 |
| 102 |
S |
A |
.000 |
A |
.000 |
-.007 |
| 103 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 104 |
S |
A |
.000 |
A |
.000 |
-.006 |
| 105 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 106 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 107 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 108 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 109 |
S |
A |
.000 |
A |
.000 |
-.010 |
| 110 |
S |
A |
.000 |
A |
.000 |
-.016 |
| 111 |
S |
A |
.000 |
A |
.000 |
-.021 |
| 112 |
S |
A |
.067 |
A |
-.067 |
-.268 |
| 113 |
S |
A |
.001 |
A |
-.001 |
-.034 |
| 114 |
S |
A |
.000 |
A |
.000 |
-.014 |
| 115 |
S |
A |
.000 |
A |
.000 |
-.007 |
| 116 |
S |
A |
.000 |
A |
.000 |
-.020 |
| 117 |
S |
A |
.047 |
A |
-.047 |
-.221 |
| 118 |
S |
A |
.000 |
A |
.000 |
-.014 |
| 119 |
S |
A |
.003 |
A |
-.003 |
-.054 |
| 120 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 121 |
S |
A |
.013 |
A |
-.013 |
-.115 |
| 122 |
S |
A |
.000 |
A |
.000 |
-.013 |
| 123 |
S |
A |
.000 |
A |
.000 |
-.019 |
| 124 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 125 |
S |
A |
.035 |
A |
-.035 |
-.191 |
| 126 |
S |
A |
.000 |
A |
.000 |
-.015 |
| 127 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 128 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 129 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 130 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 131 |
S |
A |
.005 |
A |
-.005 |
-.069 |
| 132 |
S |
A |
.000 |
A |
.000 |
-.006 |
| 133 |
S |
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-.009 |
-.094 |
| 892 |
S |
A |
.055 |
A |
-.055 |
-.240 |
| 893 |
S |
A |
.072 |
A |
-.072 |
-.279 |
| 894 |
S |
A |
.039 |
A |
-.039 |
-.203 |
| 895 |
S |
A |
.179 |
A |
-.179 |
-.466 |
| 896 |
S |
A |
.107 |
A |
-.107 |
-.346 |
| 897 |
S |
A |
.013 |
A |
-.013 |
-.113 |
| 898 |
S |
A |
.015 |
A |
-.015 |
-.124 |
| 899 |
S |
A |
.103 |
A |
-.103 |
-.338 |
| 900 |
S |
A** |
.603 |
P |
-.603 |
-1.233 |
| 901 |
S |
A |
.004 |
A |
-.004 |
-.060 |
| 902 |
S |
A |
.003 |
A |
-.003 |
-.056 |
| 903 |
S |
A |
.003 |
A |
-.003 |
-.056 |
| 904 |
S |
P** |
.006 |
A |
.994 |
12.524 |
| 905 |
S |
P** |
.048 |
A |
.952 |
4.456 |
| 906 |
S |
P** |
.485 |
A |
.515 |
1.031 |
| 907 |
S |
P** |
.352 |
A |
.648 |
1.358 |
| 908 |
S |
P** |
.395 |
A |
.605 |
1.236 |
| 909 |
S |
P |
.912 |
P |
.088 |
.310 |
| 910 |
S |
P |
.913 |
P |
.087 |
.309 |
| 911 |
S |
P** |
.014 |
A |
.986 |
8.245 |
| 912 |
S |
P |
.870 |
P |
.130 |
.386 |
| 913 |
S |
P** |
.064 |
A |
.936 |
3.826 |
| 914 |
S |
P |
.931 |
P |
.069 |
.271 |
| 915 |
S |
P |
.913 |
P |
.087 |
.309 |
| 916 |
S |
P |
.810 |
P |
.190 |
.484 |
| 917 |
S |
P |
.679 |
P |
.321 |
.688 |
| 918 |
S |
P |
.736 |
P |
.264 |
.599 |
| 919 |
S |
P |
.859 |
P |
.141 |
.405 |
| 920 |
S |
P** |
.373 |
A |
.627 |
1.296 |
| 921 |
S |
P** |
.046 |
A |
.954 |
4.572 |
| 922 |
S |
P** |
.044 |
A |
.956 |
4.671 |
| 923 |
S |
P** |
.299 |
A |
.701 |
1.530 |
| 924 |
S |
P** |
.288 |
A |
.712 |
1.571 |
| 925 |
S |
P** |
.039 |
A |
.961 |
4.995 |
| 926 |
S |
P** |
.101 |
A |
.899 |
2.981 |
| 927 |
S |
P** |
.015 |
A |
.985 |
8.085 |
| 928 |
S |
P** |
.185 |
A |
.815 |
2.098 |
| 929 |
S |
P** |
.273 |
A |
.727 |
1.632 |
| 930 |
S |
P |
.853 |
P |
.147 |
.414 |
| 931 |
S |
P** |
.053 |
A |
.947 |
4.231 |
| 932 |
S |
P |
.781 |
P |
.219 |
.529 |
| 933 |
S |
P |
.798 |
P |
.202 |
.502 |
| a S = Selected, U = Unselected cases, and ** = Misclassified cases.
|
ROC Curve
Notes
| Output Created |
10-FEB-2003 11:14:38 |
| Comments |
|
| Input |
Data |
C:\My Documents\Alison\SPSS s.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
933 |
| Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing. |
| Cases Used |
Statistics are based on all cases with valid data for all variables in the analysis. |
| Syntax |
ROC pre_1 BY status ('Present') /PLOT = CURVE(REFERENCE) /CRITERIA = CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING = EXCLUDE .
|
| Resources |
Elapsed Time |
0:00:00.11 |
Case Processing Summary
| STATUS |
Valid N (listwise) |
| Positive(a) |
30 |
| Negative |
902 |
| Missing |
1 |
| Larger values of the test result variable(s) indicate stronger evidence for a positive actual state. |
| a The positive actual state is Present.
|
Area Under the Curve
Test Result Variable(s): Predicted probability
| Area |
| .954 |
Logistic Regression
Notes
| Output Created |
10-FEB-2003 11:15:24 |
| Comments |
|
| Input |
Data |
C:\My Documents\Alison\SPSS s.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
933 |
| Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing |
| Syntax |
LOGISTIC REGRESSION VAR=status /METHOD=FSTEP(LR) dist_roa dist_wet dist_for dist_non elevatio aspect_t slope for_perc wet_perc non_perc nwet nnonfor nfor ndist /SAVE PRED /CLASSPLOT /CASEWISE /PRINT=GOODFIT SUMMARY /CRITERIA PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
|
| Variables Created or Modified |
PRE_2 |
Predicted probability |
| Resources |
Elapsed Time |
0:00:01.16 |
Case Processing Summary
| Unweighted Cases(a) |
N |
Percent |
| Selected Cases |
Included in Analysis |
932 |
99.9 |
| Missing Cases |
1 |
.1 |
| Total |
933 |
100.0 |
| Unselected Cases |
0 |
.0 |
| Total |
933 |
100.0 |
| a If weight is in effect, see classification table for the total number of cases.
|
Dependent Variable Encoding
| Original Value |
Internal Value |
| Absent |
0 |
| Present |
1 |
Block 0: Beginning Block
Classification Table(a,b)
|
Predicted |
| STATUS |
Percentage Correct |
| Observed |
Absent |
Present |
| Step 0 |
STATUS |
Absent |
902 |
0 |
100.0 |
| Present |
30 |
0 |
.0 |
| Overall Percentage |
|
|
96.8 |
| a Constant is included in the model. |
| b The cut value is .500
|
Variables in the Equation
|
B |
S.E. |
Wald |
df |
Sig. |
Exp(B) |
| Step 0 |
Constant |
-3.403 |
.186 |
336.319 |
1 |
.000 |
.033 |
Variables not in the Equation(a)
|
Score |
df |
Sig. |
| Step 0 |
Variables |
DIST_ROA |
1.931 |
1 |
.165 |
| DIST_WET |
25.057 |
1 |
.000 |
| DIST_FOR |
3.004 |
1 |
.083 |
| DIST_NON |
1.002 |
1 |
.317 |
| ELEVATIO |
5.719 |
1 |
.017 |
| ASPECT_T |
2.315 |
1 |
.128 |
| SLOPE |
.832 |
1 |
.362 |
| FOR_PERC |
10.578 |
1 |
.001 |
| WET_PERC |
45.974 |
1 |
.000 |
| NON_PERC |
.098 |
1 |
.755 |
| NWET |
87.870 |
1 |
.000 |
| NNONFOR |
.002 |
1 |
.961 |
| NFOR |
56.467 |
1 |
.000 |
| NDIST |
1.589 |
1 |
.208 |
| a Residual Chi-Squares are not computed because of redundancies.
|
Block 1: Method = Forward Stepwise (Likelihood Ratio)
Omnibus Tests of Model Coefficients
|
Chi-square |
df |
Sig. |
| Step 1 |
Step |
58.510 |
1 |
.000 |
| Block |
58.510 |
1 |
.000 |
| Model |
58.510 |
1 |
.000 |
| Step 2 |
Step |
9.292 |
1 |
.002 |
| Block |
67.802 |
2 |
.000 |
| Model |
67.802 |
2 |
.000 |
| Step 3 |
Step |
7.380 |
1 |
.007 |
| Block |
75.182 |
3 |
.000 |
| Model |
75.182 |
3 |
.000 |
| Step 4 |
Step |
15.451 |
1 |
.000 |
| Block |
90.633 |
4 |
.000 |
| Model |
90.633 |
4 |
.000 |
| Step 5 |
Step |
4.168 |
1 |
.041 |
| Block |
94.801 |
5 |
.000 |
| Model |
94.801 |
5 |
.000 |
Model Summary
| Step |
-2 Log likelihood |
Cox & Snell R Square |
Nagelkerke R Square |
| 1 |
206.682 |
.061 |
.246 |
| 2 |
197.390 |
.070 |
.283 |
| 3 |
190.010 |
.077 |
.313 |
| 4 |
174.559 |
.093 |
.374 |
| 5 |
170.391 |
.097 |
.391 |
Hosmer and Lemeshow Test
| Step |
Chi-square |
df |
Sig. |
| 1 |
3.004 |
3 |
.391 |
| 2 |
6.070 |
5 |
.299 |
| 3 |
4.245 |
8 |
.834 |
| 4 |
6.501 |
8 |
.591 |
| 5 |
3.857 |
8 |
.870 |
Contingency Table for Hosmer and Lemeshow Test
|
STATUS = Absent |
STATUS = Present |
Total |
| Observed |
Expected |
Observed |
Expected |
| Step 1 |
1 |
520 |
518.900 |
3 |
4.100 |
523 |
| 2 |
100 |
98.970 |
0 |
1.030 |
100 |
| 3 |
92 |
91.137 |
1 |
1.863 |
93 |
| 4 |
87 |
89.122 |
6 |
3.878 |
93 |
| 5 |
103 |
103.871 |
20 |
19.129 |
123 |
| Step 2 |
1 |
313 |
313.622 |
2 |
1.378 |
315 |
| 2 |
95 |
94.533 |
0 |
.467 |
95 |
| 3 |
101 |
100.328 |
0 |
.672 |
101 |
| 4 |
92 |
90.996 |
0 |
1.004 |
92 |
| 5 |
94 |
92.169 |
0 |
1.831 |
94 |
| 6 |
88 |
90.426 |
6 |
3.574 |
94 |
| 7 |
119 |
119.922 |
22 |
21.078 |
141 |
| Step 3 |
1 |
95 |
94.834 |
0 |
.166 |
95 |
| 2 |
92 |
91.706 |
0 |
.294 |
92 |
| 3 |
91 |
91.626 |
1 |
.374 |
92 |
| 4 |
94 |
93.531 |
0 |
.469 |
94 |
| 5 |
93 |
92.452 |
0 |
.548 |
93 |
| 6 |
92 |
92.278 |
1 |
.722 |
93 |
| 7 |
92 |
91.675 |
1 |
1.325 |
93 |
| 8 |
90 |
91.765 |
4 |
2.235 |
94 |
| 9 |
89 |
88.383 |
4 |
4.617 |
93 |
| 10 |
74 |
73.751 |
19 |
19.249 |
93 |
| Step 4 |
1 |
93 |
93.000 |
0 |
.000 |
93 |
| 2 |
93 |
92.995 |
0 |
.005 |
93 |
| 3 |
93 |
92.979 |
0 |
.021 |
93 |
| 4 |
93 |
92.947 |
0 |
.053 |
93 |
| 5 |
92 |
92.872 |
1 |
.128 |
93 |
| 6 |
93 |
92.603 |
0 |
.397 |
93 |
| 7 |
92 |
92.057 |
1 |
.943 |
93 |
| 8 |
91 |
90.668 |
2 |
2.332 |
93 |
| 9 |
88 |
87.529 |
5 |
5.471 |
93 |
| 10 |
74 |
74.346 |
21 |
20.654 |
95 |
| Step 5 |
1 |
93 |
93.000 |
0 |
.000 |
93 |
| 2 |
93 |
92.999 |
0 |
.001 |
93 |
| 3 |
93 |
92.996 |
0 |
.004 |
93 |
| 4 |
93 |
92.981 |
0 |
.019 |
93 |
| 5 |
93 |
92.930 |
0 |
.070 |
93 |
| 6 |
92 |
92.727 |
1 |
.273 |
93 |
| 7 |
91 |
92.072 |
2 |
.928 |
93 |
| 8 |
91 |
90.758 |
2 |
2.242 |
93 |
| 9 |
89 |
87.299 |
4 |
5.701 |
93 |
| 10 |
74 |
74.237 |
21 |
20.763 |
95 |
Classification Table(a)
|
Predicted |
| STATUS |
Percentage Correct |
| Observed |
Absent |
Present |
| Step 1 |
STATUS |
Absent |
899 |
3 |
99.7 |
| Present |
30 |
0 |
.0 |
| Overall Percentage |
|
|
96.5 |
| Step 2 |
STATUS |
Absent |
897 |
5 |
99.4 |
| Present |
30 |
0 |
.0 |
| Overall Percentage |
|
|
96.2 |
| Step 3 |
STATUS |
Absent |
901 |
1 |
99.9 |
| Present |
28 |
2 |
6.7 |
| Overall Percentage |
|
|
96.9 |
| Step 4 |
STATUS |
Absent |
900 |
2 |
99.8 |
| Present |
27 |
3 |
10.0 |
| Overall Percentage |
|
|
96.9 |
| Step 5 |
STATUS |
Absent |
902 |
0 |
100.0 |
| Present |
28 |
2 |
6.7 |
| Overall Percentage |
|
|
97.0 |
| a The cut value is .500
|
Variables in the Equation
|
B |
S.E. |
Wald |
df |
Sig. |
Exp(B) |
| Step 1(a) |
NWET |
5.571 |
.757 |
54.123 |
1 |
.000 |
262.753 |
| Constant |
-4.841 |
.365 |
175.758 |
1 |
.000 |
.008 |
| Step 2(b) |
NWET |
6.403 |
.861 |
55.300 |
1 |
.000 |
603.461 |
| NDIST |
5.146 |
1.449 |
12.621 |
1 |
.000 |
171.765 |
| Constant |
-5.427 |
.460 |
139.111 |
1 |
.000 |
.004 |
| Step 3(c) |
ELEVATIO |
.045 |
.018 |
6.501 |
1 |
.011 |
1.046 |
| NWET |
8.225 |
1.150 |
51.189 |
1 |
.000 |
3731.950 |
| NDIST |
4.660 |
1.517 |
9.434 |
1 |
.002 |
105.645 |
| Constant |
-8.199 |
1.235 |
44.097 |
1 |
.000 |
.000 |
| Step 4(d) |
DIST_WET |
-.017 |
.006 |
8.128 |
1 |
.004 |
.983 |
| ELEVATIO |
.056 |
.018 |
9.306 |
1 |
.002 |
1.057 |
| NWET |
6.165 |
1.202 |
26.287 |
1 |
.000 |
475.570 |
| NDIST |
4.495 |
1.582 |
8.075 |
1 |
.004 |
89.595 |
| Constant |
-7.257 |
1.222 |
35.295 |
1 |
.000 |
.001 |
| Step 5(e) |
DIST_WET |
-.026 |
.009 |
8.619 |
1 |
.003 |
.975 |
| ELEVATIO |
.054 |
.018 |
8.471 |
1 |
.004 |
1.055 |
| FOR_PERC |
2.018 |
1.029 |
3.844 |
1 |
.050 |
7.526 |
| NWET |
6.634 |
1.247 |
28.301 |
1 |
.000 |
760.395 |
| NDIST |
5.812 |
1.738 |
11.185 |
1 |
.001 |
334.415 |
| Constant |
-7.875 |
1.290 |
37.244 |
1 |
.000 |
.000 |
| a Variable(s) entered on step 1: NWET. |
| b Variable(s) entered on step 2: NDIST. |
| c Variable(s) entered on step 3: ELEVATIO. |
| d Variable(s) entered on step 4: DIST_WET. |
| e Variable(s) entered on step 5: FOR_PERC.
|
Variables not in the Equation(a)
|
Score |
df |
Sig. |
| Step 1 |
Variables |
DIST_ROA |
.647 |
1 |
.421 |
| DIST_WET |
6.403 |
1 |
.011 |
| DIST_FOR |
.054 |
1 |
.817 |
| DIST_NON |
5.947 |
1 |
.015 |
| ELEVATIO |
8.458 |
1 |
.004 |
| ASPECT_T |
5.055 |
1 |
.025 |
| SLOPE |
.767 |
1 |
.381 |
| FOR_PERC |
.135 |
1 |
.713 |
| WET_PERC |
.519 |
1 |
.471 |
| NON_PERC |
.426 |
1 |
.514 |
| NNONFOR |
.725 |
1 |
.394 |
| NFOR |
9.156 |
1 |
.002 |
| NDIST |
16.228 |
1 |
.000 |
| Step 2 |
Variables |
DIST_ROA |
1.541 |
1 |
.214 |
| DIST_WET |
6.640 |
1 |
.010 |
| DIST_FOR |
.190 |
1 |
.663 |
| DIST_NON |
3.557 |
1 |
.059 |
| ELEVATIO |
6.694 |
1 |
.010 |
| ASPECT_T |
4.671 |
1 |
.031 |
| SLOPE |
.241 |
1 |
.623 |
| FOR_PERC |
.101 |
1 |
.750 |
| WET_PERC |
.530 |
1 |
.467 |
| NON_PERC |
.245 |
1 |
.620 |
| NNONFOR |
.004 |
1 |
.951 |
| NFOR |
.126 |
1 |
.723 |
| Overall Statistics |
24.528 |
12 |
.017 |
| Step 3 |
Variables |
DIST_ROA |
1.840 |
1 |
.175 |
| DIST_WET |
8.546 |
1 |
.003 |
| DIST_FOR |
.012 |
1 |
.912 |
| DIST_NON |
1.376 |
1 |
.241 |
| ASPECT_T |
3.617 |
1 |
.057 |
| SLOPE |
.000 |
1 |
.993 |
| FOR_PERC |
.003 |
1 |
.955 |
| WET_PERC |
3.165 |
1 |
.075 |
| NON_PERC |
.902 |
1 |
.342 |
| NNONFOR |
.198 |
1 |
.656 |
| NFOR |
.061 |
1 |
.805 |
| Overall Statistics |
18.242 |
11 |
.076 |
| Step 4 |
Variables |
DIST_ROA |
1.555 |
1 |
.212 |
| DIST_FOR |
1.355 |
1 |
.244 |
| DIST_NON |
1.275 |
1 |
.259 |
| ASPECT_T |
3.731 |
1 |
.053 |
| SLOPE |
.009 |
1 |
.926 |
| FOR_PERC |
4.048 |
1 |
.044 |
| WET_PERC |
1.894 |
1 |
.169 |
| NON_PERC |
.098 |
1 |
.754 |
| NNONFOR |
.131 |
1 |
.717 |
| NFOR |
.123 |
1 |
.726 |
| Overall Statistics |
9.255 |
10 |
.508 |
| Step 5 |
Variables |
DIST_ROA |
1.258 |
1 |
.262 |
| DIST_FOR |
.003 |
1 |
.955 |
| DIST_NON |
1.235 |
1 |
.267 |
| ASPECT_T |
2.967 |
1 |
.085 |
| SLOPE |
.032 |
1 |
.859 |
| WET_PERC |
.045 |
1 |
.832 |
| NON_PERC |
.004 |
1 |
.952 |
| NNONFOR |
.021 |
1 |
.885 |
| NFOR |
.001 |
1 |
.977 |
| Overall Statistics |
5.184 |
9 |
.818 |
| a Residual Chi-Squares are not computed because of redundancies.
|
Step Summary(a,b)
|
Improvement |
Model |
Correct Class % |
Variable |
| Step |
Chi-square |
df |
Sig. |
Chi-square |
df |
Sig. |
| 1 |
58.510 |
1 |
.000 |
58.510 |
1 |
.000 |
96.5% |
IN: NWET |
| 2 |
9.292 |
1 |
.002 |
67.802 |
2 |
.000 |
96.2% |
IN: NDIST |
| 3 |
7.380 |
1 |
.007 |
75.182 |
3 |
.000 |
96.9% |
IN: ELEVATIO |
| 4 |
15.451 |
1 |
.000 |
90.633 |
4 |
.000 |
96.9% |
IN: DIST_WET |
| 5 |
4.168 |
1 |
.041 |
94.801 |
5 |
.000 |
97.0% |
IN: FOR_PERC |
| a No more variables can be deleted from or added to the current model. |
| b End block: 1
|
Step number: 1
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óAA ó
óAAAA ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Step number: 2
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óAA ó
óAAAA ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Step number: 3
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óAP ó
óAA ó
óAAAP ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Step number: 4
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óA ó
óAAAA ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Step number: 5
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F óA ó
R 600 ôA ô
E óA ó
Q óA ó
U óA ó
E 400 ôA ô
N óA ó
C óA ó
Y óA ó
200 ôA ô
óA ó
óA ó
óAAA ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP
Predicted Probability is of Membership for Present
The Cut Value is .50
Symbols: A - Absent
P - Present
Each Symbol Represents 50 Cases.
Casewise List
|
Selected Status(a) |
Observed |
Predicted |
Predicted Group |
Temporary Variable |
| Case |
STATUS |
Resid |
ZResid |
| 1 |
S |
A |
.063 |
A |
-.063 |
-.259 |
| 2 |
S |
A |
.210 |
A |
-.210 |
-.516 |
| 3 |
S |
A |
.145 |
A |
-.145 |
-.411 |
| 4 |
S |
A |
.475 |
A |
-.475 |
-.951 |
| 5 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 6 |
S |
A |
.000 |
A |
.000 |
-.012 |
| 7 |
S |
A |
.000 |
A |
.000 |
-.012 |
| 8 |
S |
A |
.000 |
A |
.000 |
-.012 |
| 9 |
S |
A |
.041 |
A |
-.041 |
-.206 |
| 10 |
S |
A |
.085 |
A |
-.085 |
-.305 |
| 11 |
S |
A |
.000 |
A |
.000 |
-.012 |
| 12 |
S |
A |
.000 |
A |
.000 |
-.012 |
| 13 |
S |
A |
.000 |
A |
.000 |
.000 |
| 14 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 15 |
S |
A |
.045 |
A |
-.045 |
-.217 |
| 16 |
S |
A |
.028 |
A |
-.028 |
-.171 |
| 17 |
S |
A |
.000 |
A |
.000 |
-.007 |
| 18 |
S |
A |
.000 |
A |
.000 |
-.018 |
| 19 |
S |
A |
.001 |
A |
-.001 |
-.034 |
| 20 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 21 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 22 |
S |
A |
.010 |
A |
-.010 |
-.103 |
| 23 |
S |
A |
.000 |
A |
.000 |
-.009 |
| 24 |
S |
A |
.000 |
A |
.000 |
-.006 |
| 25 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 26 |
S |
A |
.000 |
A |
.000 |
-.018 |
| 27 |
S |
A |
.012 |
A |
-.012 |
-.112 |
| 28 |
S |
A |
.000 |
A |
.000 |
-.012 |
| 29 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 30 |
S |
A |
.000 |
A |
.000 |
-.015 |
| 31 |
S |
A |
.003 |
A |
-.003 |
-.056 |
| 32 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 33 |
S |
A |
.000 |
A |
.000 |
.000 |
| 34 |
S |
A |
.000 |
A |
.000 |
.000 |
| 35 |
S |
A |
.005 |
A |
-.005 |
-.069 |
| 36 |
S |
A |
.025 |
A |
-.025 |
-.160 |
| 37 |
S |
A |
.002 |
A |
-.002 |
-.042 |
| 38 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 39 |
S |
A |
.001 |
A |
-.001 |
-.035 |
| 40 |
S |
A |
.000 |
A |
.000 |
.000 |
| 41 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 42 |
S |
A |
.001 |
A |
-.001 |
-.038 |
| 43 |
S |
A |
.038 |
A |
-.038 |
-.198 |
| 44 |
S |
A |
.000 |
A |
.000 |
-.010 |
| 45 |
S |
A |
.000 |
A |
.000 |
-.006 |
| 46 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 47 |
S |
A |
.001 |
A |
-.001 |
-.030 |
| 48 |
S |
A |
.018 |
A |
-.018 |
-.136 |
| 49 |
S |
A |
.002 |
A |
-.002 |
-.041 |
| 50 |
S |
A |
.003 |
A |
-.003 |
-.052 |
| 51 |
S |
A |
.001 |
A |
-.001 |
-.035 |
| 52 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 53 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 54 |
S |
A |
.000 |
A |
.000 |
.000 |
| 55 |
S |
A |
.000 |
A |
.000 |
.000 |
| 56 |
S |
A |
.002 |
A |
-.002 |
-.047 |
| 57 |
S |
A |
.001 |
A |
-.001 |
-.028 |
| 58 |
S |
A |
.001 |
A |
-.001 |
-.023 |
| 59 |
S |
A |
.006 |
A |
-.006 |
-.079 |
| 60 |
S |
A |
.040 |
A |
-.040 |
-.205 |
| 61 |
S |
A |
.006 |
A |
-.006 |
-.076 |
| 62 |
S |
A |
.000 |
A |
.000 |
.000 |
| 63 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 64 |
S |
A |
.004 |
A |
-.004 |
-.067 |
| 65 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 66 |
S |
A |
.005 |
A |
-.005 |
-.068 |
| 67 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 68 |
S |
A |
.043 |
A |
-.043 |
-.212 |
| 69 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 70 |
S |
A |
.000 |
A |
.000 |
.000 |
| 71 |
S |
A |
.000 |
A |
.000 |
.000 |
| 72 |
S |
A |
.000 |
A |
.000 |
.000 |
| 73 |
S |
A |
.000 |
A |
.000 |
-.010 |
| 74 |
S |
A |
.001 |
A |
-.001 |
-.024 |
| 75 |
S |
A |
.030 |
A |
-.030 |
-.177 |
| 76 |
S |
A |
.000 |
A |
.000 |
-.018 |
| 77 |
S |
A |
.001 |
A |
-.001 |
-.033 |
| 78 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 79 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 80 |
S |
A |
.000 |
A |
.000 |
-.011 |
| 81 |
S |
A |
.000 |
A |
.000 |
-.011 |
| 82 |
S |
A |
.000 |
A |
.000 |
-.006 |
| 83 |
S |
A |
.000 |
A |
.000 |
-.019 |
| 84 |
S |
A |
.047 |
A |
-.047 |
-.222 |
| 85 |
S |
A |
.003 |
A |
-.003 |
-.057 |
| 86 |
S |
A |
.009 |
A |
-.009 |
-.093 |
| 87 |
S |
A |
.014 |
A |
-.014 |
-.118 |
| 88 |
S |
A |
.000 |
A |
.000 |
-.009 |
| 89 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 90 |
S |
A |
.000 |
A |
.000 |
-.011 |
| 91 |
S |
A |
.000 |
A |
.000 |
-.013 |
| 92 |
S |
A |
.020 |
A |
-.020 |
-.141 |
| 93 |
S |
A |
.000 |
A |
.000 |
-.009 |
| 94 |
S |
A |
.031 |
A |
-.031 |
-.178 |
| 95 |
S |
A |
.064 |
A |
-.064 |
-.262 |
| 96 |
S |
A |
.049 |
A |
-.049 |
-.227 |
| 97 |
S |
A |
.010 |
A |
-.010 |
-.099 |
| 98 |
S |
A |
.001 |
A |
-.001 |
-.031 |
| 99 |
S |
A |
.000 |
A |
.000 |
-.007 |
| 100 |
S |
A |
.000 |
A |
.000 |
-.012 |
| 101 |
S |
A |
.039 |
A |
-.039 |
-.202 |
| 102 |
S |
A |
.001 |
A |
-.001 |
-.023 |
| 103 |
S |
A |
.001 |
A |
-.001 |
-.035 |
| 104 |
S |
A |
.000 |
A |
.000 |
-.021 |
| 105 |
S |
A |
.003 |
A |
-.003 |
-.056 |
| 106 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 107 |
S |
A |
.001 |
A |
-.001 |
-.026 |
| 108 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 109 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 110 |
S |
A |
.015 |
A |
-.015 |
-.124 |
| 111 |
S |
A |
.000 |
A |
.000 |
-.018 |
| 112 |
S |
A |
.004 |
A |
-.004 |
-.067 |
| 113 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 114 |
S |
A |
.000 |
A |
.000 |
.000 |
| 115 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 116 |
S |
A |
.000 |
A |
.000 |
.000 |
| 117 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 118 |
S |
A |
.003 |
A |
-.003 |
-.058 |
| 119 |
S |
A |
.007 |
A |
-.007 |
-.083 |
| 120 |
S |
A |
.000 |
A |
.000 |
-.018 |
| 121 |
S |
A |
.044 |
A |
-.044 |
-.215 |
| 122 |
S |
A |
.021 |
A |
-.021 |
-.146 |
| 123 |
S |
A |
.000 |
A |
.000 |
.000 |
| 124 |
S |
A |
.015 |
A |
-.015 |
-.125 |
| 125 |
S |
A |
.012 |
A |
-.012 |
-.109 |
| 126 |
S |
A |
.008 |
A |
-.008 |
-.092 |
| 127 |
S |
A |
.001 |
A |
-.001 |
-.028 |
| 128 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 129 |
S |
A |
.000 |
A |
.000 |
.000 |
| 130 |
S |
A |
.004 |
A |
-.004 |
-.064 |
| 131 |
S |
A |
.004 |
A |
-.004 |
-.067 |
| 132 |
S |
A |
.000 |
A |
.000 |
-.019 |
| 133 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 134 |
S |
A |
.009 |
A |
-.009 |
-.095 |
| 135 |
S |
A |
.000 |
A |
.000 |
-.020 |
| 136 |
S |
A |
.000 |
A |
.000 |
-.013 |
| 137 |
S |
A |
.000 |
A |
.000 |
.000 |
| 138 |
S |
A |
.000 |
A |
.000 |
.000 |
| 139 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 140 |
S |
A |
.029 |
A |
-.029 |
-.172 |
| 141 |
S |
A |
.001 |
A |
-.001 |
-.031 |
| 142 |
S |
A |
.001 |
A |
-.001 |
-.029 |
| 143 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 144 |
S |
A |
.016 |
A |
-.016 |
-.128 |
| 145 |
S |
A |
.000 |
A |
.000 |
-.007 |
| 146 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 147 |
S |
A |
.001 |
A |
-.001 |
-.036 |
| 148 |
S |
A |
.002 |
A |
-.002 |
-.043 |
| 149 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 150 |
S |
A |
.002 |
A |
-.002 |
-.048 |
| 151 |
S |
A |
.002 |
A |
-.002 |
-.043 |
| 152 |
S |
A |
.000 |
A |
.000 |
.000 |
| 153 |
S |
A |
.000 |
A |
.000 |
-.019 |
| 154 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 155 |
S |
A |
.001 |
A |
-.001 |
-.030 |
| 156 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 157 |
S |
A |
.008 |
A |
-.008 |
-.090 |
| 158 |
S |
A |
.001 |
A |
-.001 |
-.032 |
| 159 |
S |
A |
.011 |
A |
-.011 |
-.108 |
| 160 |
S |
A |
.107 |
A |
-.107 |
-.346 |
| 161 |
S |
A |
.200 |
A |
-.200 |
-.501 |
| 162 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 163 |
S |
A |
.111 |
A |
-.111 |
-.354 |
| 164 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 165 |
S |
A |
.000 |
A |
.000 |
-.009 |
| 166 |
S |
A |
.075 |
A |
-.075 |
-.284 |
| 167 |
S |
A |
.000 |
A |
.000 |
.000 |
| 168 |
S |
A |
.003 |
A |
-.003 |
-.059 |
| 169 |
S |
A |
.033 |
A |
-.033 |
-.184 |
| 170 |
S |
A |
.000 |
A |
.000 |
-.016 |
| 171 |
S |
A |
.000 |
A |
.000 |
-.010 |
| 172 |
S |
A |
.051 |
A |
-.051 |
-.232 |
| 173 |
S |
A |
.036 |
A |
-.036 |
-.193 |
| 174 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 175 |
S |
A |
.000 |
A |
.000 |
.000 |
| 176 |
S |
A |
.000 |
A |
.000 |
.000 |
| 177 |
S |
A |
.096 |
A |
-.096 |
-.326 |
| 178 |
S |
A |
.001 |
A |
-.001 |
-.035 |
| 179 |
S |
A |
.044 |
A |
-.044 |
-.215 |
| 180 |
S |
A |
.000 |
A |
.000 |
-.014 |
| 181 |
S |
A |
.010 |
A |
-.010 |
-.103 |
| 182 |
S |
A |
.002 |
A |
-.002 |
-.048 |
| 183 |
S |
A |
.000 |
A |
.000 |
.000 |
| 184 |
S |
A |
.005 |
A |
-.005 |
-.073 |
| 185 |
S |
A |
.001 |
A |
-.001 |
-.034 |
| 186 |
S |
A |
.024 |
A |
-.024 |
-.157 |
| 187 |
S |
A |
.088 |
A |
-.088 |
-.310 |
| 188 |
S |
A |
.070 |
A |
-.070 |
-.274 |
| 189 |
S |
A |
.002 |
A |
-.002 |
-.050 |
| 190 |
S |
A |
.001 |
A |
-.001 |
-.030 |
| 191 |
S |
A |
.000 |
A |
.000 |
-.016 |
| 192 |
S |
A |
.000 |
A |
.000 |
-.022 |
| 193 |
S |
A |
.009 |
A |
-.009 |
-.093 |
| 194 |
S |
A |
.001 |
A |
-.001 |
-.026 |
| 195 |
S |
A |
.000 |
A |
.000 |
-.018 |
| 196 |
S |
A |
.030 |
A |
-.030 |
-.175 |
| 197 |
S |
A |
.161 |
A |
-.161 |
-.438 |
| 198 |
S |
A |
.043 |
A |
-.043 |
-.213 |
| 199 |
S |
A |
.000 |
A |
.000 |
.000 |
| 200 |
S |
A |
.042 |
A |
-.042 |
-.209 |
| 201 |
S |
A |
.002 |
A |
-.002 |
-.044 |
| 202 |
S |
A |
.001 |
A |
-.001 |
-.038 |
| 203 |
S |
A |
.000 |
A |
.000 |
.000 |
| 204 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 205 |
S |
A |
.000 |
A |
.000 |
-.013 |
| 206 |
S |
A** |
. |
. |
. |
. |
| 207 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 208 |
S |
A |
.003 |
A |
-.003 |
-.055 |
| 209 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 210 |
S |
A |
.019 |
A |
-.019 |
-.141 |
| 211 |
S |
A |
.001 |
A |
-.001 |
-.027 |
| 212 |
S |
A |
.000 |
A |
.000 |
-.013 |
| 213 |
S |
A |
.001 |
A |
-.001 |
-.027 |
| 214 |
S |
A |
.000 |
A |
.000 |
-.016 |
| 215 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 216 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 217 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 218 |
S |
A |
.001 |
A |
-.001 |
-.027 |
| 219 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 220 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 221 |
S |
A |
.040 |
A |
-.040 |
-.204 |
| 222 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 223 |
S |
A |
.000 |
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| 731 |
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A |
.000 |
A |
.000 |
-.011 |
| 732 |
S |
A |
.020 |
A |
-.020 |
-.143 |
| 733 |
S |
A |
.001 |
A |
-.001 |
-.035 |
| 734 |
S |
A |
.009 |
A |
-.009 |
-.093 |
| 735 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 736 |
S |
A |
.062 |
A |
-.062 |
-.258 |
| 737 |
S |
A |
.171 |
A |
-.171 |
-.454 |
| 738 |
S |
A |
.060 |
A |
-.060 |
-.252 |
| 739 |
S |
A |
.000 |
A |
.000 |
-.019 |
| 740 |
S |
A |
.003 |
A |
-.003 |
-.055 |
| 741 |
S |
A |
.003 |
A |
-.003 |
-.058 |
| 742 |
S |
A |
.064 |
A |
-.064 |
-.262 |
| 743 |
S |
A |
.017 |
A |
-.017 |
-.133 |
| 744 |
S |
A |
.001 |
A |
-.001 |
-.037 |
| 745 |
S |
A |
.000 |
A |
.000 |
-.006 |
| 746 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 747 |
S |
A |
.000 |
A |
.000 |
.000 |
| 748 |
S |
A |
.076 |
A |
-.076 |
-.287 |
| 749 |
S |
A |
.000 |
A |
.000 |
.000 |
| 750 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 751 |
S |
A |
.001 |
A |
-.001 |
-.033 |
| 752 |
S |
A |
.102 |
A |
-.102 |
-.338 |
| 753 |
S |
A |
.023 |
A |
-.023 |
-.152 |
| 754 |
S |
A |
.004 |
A |
-.004 |
-.065 |
| 755 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 756 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 757 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 758 |
S |
A |
.000 |
A |
.000 |
.000 |
| 759 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 760 |
S |
A |
.006 |
A |
-.006 |
-.077 |
| 761 |
S |
A |
.001 |
A |
-.001 |
-.036 |
| 762 |
S |
A |
.084 |
A |
-.084 |
-.304 |
| 763 |
S |
A |
.036 |
A |
-.036 |
-.194 |
| 764 |
S |
A |
.015 |
A |
-.015 |
-.124 |
| 765 |
S |
A |
.001 |
A |
-.001 |
-.032 |
| 766 |
S |
A |
.001 |
A |
-.001 |
-.025 |
| 767 |
S |
A |
.004 |
A |
-.004 |
-.062 |
| 768 |
S |
A |
.001 |
A |
-.001 |
-.038 |
| 769 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 770 |
S |
A |
.001 |
A |
-.001 |
-.023 |
| 771 |
S |
A |
.004 |
A |
-.004 |
-.062 |
| 772 |
S |
A |
.020 |
A |
-.020 |
-.143 |
| 773 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 774 |
S |
A |
.002 |
A |
-.002 |
-.039 |
| 775 |
S |
A |
.000 |
A |
.000 |
-.021 |
| 776 |
S |
A |
.000 |
A |
.000 |
-.004 |
| 777 |
S |
A |
.002 |
A |
-.002 |
-.043 |
| 778 |
S |
A |
.030 |
A |
-.030 |
-.175 |
| 779 |
S |
A |
.012 |
A |
-.012 |
-.108 |
| 780 |
S |
A |
.000 |
A |
.000 |
-.020 |
| 781 |
S |
A |
.000 |
A |
.000 |
-.012 |
| 782 |
S |
A |
.009 |
A |
-.009 |
-.096 |
| 783 |
S |
A |
.000 |
A |
.000 |
-.008 |
| 784 |
S |
A |
.090 |
A |
-.090 |
-.315 |
| 785 |
S |
A |
.005 |
A |
-.005 |
-.073 |
| 786 |
S |
A |
.007 |
A |
-.007 |
-.084 |
| 787 |
S |
A |
.000 |
A |
.000 |
-.007 |
| 788 |
S |
A |
.000 |
A |
.000 |
-.007 |
| 789 |
S |
A |
.110 |
A |
-.110 |
-.352 |
| 790 |
S |
A |
.002 |
A |
-.002 |
-.047 |
| 791 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 792 |
S |
A |
.000 |
A |
.000 |
-.019 |
| 793 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 794 |
S |
A |
.000 |
A |
.000 |
-.017 |
| 795 |
S |
A |
.068 |
A |
-.068 |
-.269 |
| 796 |
S |
A |
.000 |
A |
.000 |
-.014 |
| 797 |
S |
A |
.000 |
A |
.000 |
-.001 |
| 798 |
S |
A |
.000 |
A |
.000 |
-.019 |
| 799 |
S |
A |
.005 |
A |
-.005 |
-.072 |
| 800 |
S |
A |
.079 |
A |
-.079 |
-.292 |
| 801 |
S |
A |
.000 |
A |
.000 |
-.006 |
| 802 |
S |
A |
.005 |
A |
-.005 |
-.070 |
| 803 |
S |
A |
.007 |
A |
-.007 |
-.083 |
| 804 |
S |
A |
.017 |
A |
-.017 |
-.133 |
| 805 |
S |
A |
.003 |
A |
-.003 |
-.051 |
| 806 |
S |
A |
.000 |
A |
.000 |
.000 |
| 807 |
S |
A |
.322 |
A |
-.322 |
-.689 |
| 808 |
S |
A |
.138 |
A |
-.138 |
-.401 |
| 809 |
S |
A |
.000 |
A |
.000 |
.000 |
| 810 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 811 |
S |
A |
.044 |
A |
-.044 |
-.215 |
| 812 |
S |
A |
.017 |
A |
-.017 |
-.132 |
| 813 |
S |
A |
.000 |
A |
.000 |
-.014 |
| 814 |
S |
A |
.019 |
A |
-.019 |
-.139 |
| 815 |
S |
A |
.000 |
A |
.000 |
-.005 |
| 816 |
S |
A |
.013 |
A |
-.013 |
-.115 |
| 817 |
S |
A |
.000 |
A |
.000 |
-.014 |
| 818 |
S |
A |
.013 |
A |
-.013 |
-.116 |
| 819 |
S |
A |
.017 |
A |
-.017 |
-.130 |
| 820 |
S |
A |
.001 |
A |
-.001 |
-.026 |
| 821 |
S |
A |
.003 |
A |
-.003 |
-.056 |
| 822 |
S |
A |
.014 |
A |
-.014 |
-.119 |
| 823 |
S |
A |
.003 |
A |
-.003 |
-.056 |
| 824 |
S |
A |
.094 |
A |
-.094 |
-.322 |
| 825 |
S |
A |
.109 |
A |
-.109 |
-.349 |
| 826 |
S |
A |
.096 |
A |
-.096 |
-.327 |
| 827 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 828 |
S |
A |
.015 |
A |
-.015 |
-.124 |
| 829 |
S |
A |
.351 |
A |
-.351 |
-.736 |
| 830 |
S |
A |
.037 |
A |
-.037 |
-.196 |
| 831 |
S |
A |
.026 |
A |
-.026 |
-.164 |
| 832 |
S |
A |
.210 |
A |
-.210 |
-.516 |
| 833 |
S |
A |
.013 |
A |
-.013 |
-.114 |
| 834 |
S |
A |
.187 |
A |
-.187 |
-.480 |
| 835 |
S |
A |
.057 |
A |
-.057 |
-.246 |
| 836 |
S |
A |
.020 |
A |
-.020 |
-.143 |
| 837 |
S |
A |
.055 |
A |
-.055 |
-.241 |
| 838 |
S |
A |
.042 |
A |
-.042 |
-.209 |
| 839 |
S |
A |
.029 |
A |
-.029 |
-.173 |
| 840 |
S |
A |
.022 |
A |
-.022 |
-.150 |
| 841 |
S |
A |
.117 |
A |
-.117 |
-.365 |
| 842 |
S |
A |
.044 |
A |
-.044 |
-.214 |
| 843 |
S |
A |
.022 |
A |
-.022 |
-.149 |
| 844 |
S |
A |
.219 |
A |
-.219 |
-.530 |
| 845 |
S |
A |
.012 |
A |
-.012 |
-.109 |
| 846 |
S |
A |
.116 |
A |
-.116 |
-.362 |
| 847 |
S |
A |
.349 |
A |
-.349 |
-.732 |
| 848 |
S |
A |
.201 |
A |
-.201 |
-.502 |
| 849 |
S |
A |
.022 |
A |
-.022 |
-.150 |
| 850 |
S |
A |
.007 |
A |
-.007 |
-.083 |
| 851 |
S |
A |
.162 |
A |
-.162 |
-.440 |
| 852 |
S |
A |
.000 |
A |
.000 |
-.010 |
| 853 |
S |
A |
.003 |
A |
-.003 |
-.057 |
| 854 |
S |
A |
.000 |
A |
.000 |
-.002 |
| 855 |
S |
A |
.000 |
A |
.000 |
-.003 |
| 856 |
S |
A |
.014 |
A |
-.014 |
-.121 |
| 857 |
S |
A |
.003 |
A |
-.003 |
-.057 |
| 858 |
S |
A |
.001 |
A |
-.001 |
-.027 |
| 859 |
S |
A |
.035 |
A |
-.035 |
-.191 |
| 860 |
S |
A |
.000 |
A |
.000 |
.000 |
| 861 |
S |
A |
.042 |
A |
-.042 |
-.210 |
| 862 |
S |
A |
.043 |
A |
-.043 |
-.213 |
| 863 |
S |
A |
.000 |
A |
.000 |
-.011 |
| 864 |
S |
A |
.081 |
A |
-.081 |
-.297 |
| 865 |
S |
A |
.083 |
A |
-.083 |
-.302 |
| 866 |
S |
A |
.005 |
A |
-.005 |
-.068 |
| 867 |
S |
A |
.000 |
A |
.000 |
.000 |
| 868 |
S |
A |
.014 |
A |
-.014 |
-.118 |
| 869 |
S |
A |
.017 |
A |
-.017 |
-.132 |
| 870 |
S |
A |
.012 |
A |
-.012 |
-.112 |
| 871 |
S |
A |
.001 |
A |
-.001 |
-.026 |
| 872 |
S |
A |
.000 |
A |
.000 |
-.015 |
| 873 |
S |
A |
.000 |
A |
.000 |
-.015 |
| 874 |
S |
A |
.000 |
A |
.000 |
-.015 |
| 875 |
S |
A |
.014 |
A |
-.014 |
-.119 |
| 876 |
S |
A |
.014 |
A |
-.014 |
-.118 |
| 877 |
S |
A |
.011 |
A |
-.011 |
-.104 |
| 878 |
S |
A |
.008 |
A |
-.008 |
-.092 |
| 879 |
S |
A |
.014 |
A |
-.014 |
-.119 |
| 880 |
S |
A |
.242 |
A |
-.242 |
-.565 |
| 881 |
S |
A |
.164 |
A |
-.164 |
-.443 |
| 882 |
S |
A |
.017 |
A |
-.017 |
-.132 |
| 883 |
S |
A |
.015 |
A |
-.015 |
-.124 |
| 884 |
S |
A |
.015 |
A |
-.015 |
-.124 |
| 885 |
S |
A |
.016 |
A |
-.016 |
-.127 |
| 886 |
S |
A |
.118 |
A |
-.118 |
-.366 |
| 887 |
S |
A |
.101 |
A |
-.101 |
-.335 |
| 888 |
S |
A |
.099 |
A |
-.099 |
-.331 |
| 889 |
S |
A |
.000 |
A |
.000 |
-.013 |
| 890 |
S |
A |
.000 |
A |
.000 |
-.009 |
| 891 |
S |
A |
.000 |
A |
.000 |
-.015 |
| 892 |
S |
A |
.016 |
A |
-.016 |
-.129 |
| 893 |
S |
A |
.014 |
A |
-.014 |
-.118 |
| 894 |
S |
A |
.011 |
A |
-.011 |
-.104 |
| 895 |
S |
A |
.139 |
A |
-.139 |
-.402 |
| 896 |
S |
A |
.097 |
A |
-.097 |
-.327 |
| 897 |
S |
A |
.018 |
A |
-.018 |
-.136 |
| 898 |
S |
A |
.017 |
A |
-.017 |
-.130 |
| 899 |
S |
A |
.100 |
A |
-.100 |
-.333 |
| 900 |
S |
A |
.268 |
A |
-.268 |
-.605 |
| 901 |
S |
A |
.003 |
A |
-.003 |
-.055 |
| 902 |
S |
A |
.003 |
A |
-.003 |
-.057 |
| 903 |
S |
A |
.003 |
A |
-.003 |
-.057 |
| 904 |
S |
P** |
.036 |
A |
.964 |
5.203 |
| 905 |
S |
P** |
.062 |
A |
.938 |
3.896 |
| 906 |
S |
P** |
.441 |
A |
.559 |
1.126 |
| 907 |
S |
P** |
.192 |
A |
.808 |
2.053 |
| 908 |
S |
P** |
.247 |
A |
.753 |
1.747 |
| 909 |
S |
P** |
.406 |
A |
.594 |
1.209 |
| 910 |
S |
P |
.764 |
P |
.236 |
.555 |
| 911 |
S |
P** |
.011 |
A |
.989 |
9.302 |
| 912 |
S |
P** |
.165 |
A |
.835 |
2.250 |
| 913 |
S |
P** |
.051 |
A |
.949 |
4.315 |
| 914 |
S |
P** |
.449 |
A |
.551 |
1.107 |
| 915 |
S |
P |
.751 |
P |
.249 |
.576 |
| 916 |
S |
P** |
.326 |
A |
.674 |
1.436 |
| 917 |
S |
P** |
.148 |
A |
.852 |
2.397 |
| 918 |
S |
P** |
.495 |
A |
.505 |
1.009 |
| 919 |
S |
P** |
.320 |
A |
.680 |
1.457 |
| 920 |
S |
P** |
.338 |
A |
.662 |
1.399 |
| 921 |
S |
P** |
.230 |
A |
.770 |
1.832 |
| 922 |
S |
P** |
.087 |
A |
.913 |
3.248 |
| 923 |
S |
P** |
.035 |
A |
.965 |
5.265 |
| 924 |
S |
P** |
.277 |
A |
.723 |
1.617 |
| 925 |
S |
P** |
.013 |
A |
.987 |
8.571 |
| 926 |
S |
P** |
.041 |
A |
.959 |
4.815 |
| 927 |
S |
P** |
.002 |
A |
.998 |
23.917 |
| 928 |
S |
P** |
.114 |
A |
.886 |
2.786 |
| 929 |
S |
P** |
.154 |
A |
.846 |
2.347 |
| 930 |
S |
P** |
.436 |
A |
.564 |
1.136 |
| 931 |
S |
P** |
.169 |
A |
.831 |
2.214 |
| 932 |
S |
P** |
.132 |
A |
.868 |
2.561 |
| 933 |
S |
P** |
.218 |
A |
.782 |
1.894 |
| a S = Selected, U = Unselected cases, and ** = Misclassified cases.
|
ROC Curve
Notes
| Output Created |
10-FEB-2003 11:16:10 |
| Comments |
|
| Input |
Data |
C:\My Documents\Alison\SPSS s.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
933 |
| Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing. |
| Cases Used |
Statistics are based on all cases with valid data for all variables in the analysis. |
| Syntax |
ROC pre_2 BY status ('Present') /PLOT = CURVE(REFERENCE) /CRITERIA = CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING = EXCLUDE .
|
| Resources |
Elapsed Time |
0:00:00.11 |
Case Processing Summary
| STATUS |
Valid N (listwise) |
| Positive(a) |
30 |
| Negative |
902 |
| Missing |
1 |
| Larger values of the test result variable(s) indicate stronger evidence for a positive actual state. |
| a The positive actual state is Present.
|
Area Under the Curve
Test Result Variable(s): Predicted probability
| Area |
| .919 |
Discriminant
Notes
| Output Created |
10-FEB-2003 11:17:23 |
| Comments |
|
| Input |
Data |
C:\My Documents\Alison\SPSS s.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
933 |
| Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing in the analysis phase. |
| Cases Used |
In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always excluded. |
| Syntax |
DISCRIMINANT /GROUPS=status_n(0 1) /VARIABLES=dist_roa dist_wet dist_for dist_non elevatio aspect_t slope for_perc wet_perc non_perc tc_dist so_dist rv_dist rclam_di rcat_dis pc_dist nv_dist hc_dist bf_dist am_dist ac_dist nwet nnonfor nfor ndist /ANALYSIS ALL /SAVE=SCORES PROBS /METHOD=WILKS /PIN= .05 /POUT= .10 /PRIORS EQUAL /HISTORY /STATISTICS=MEAN STDDEV UNIVF TABLE CROSSVALID /CLASSIFY=NONMISSING POOLED .
|
| Variables Created or Modified |
DIS1_1 |
Discriminant Scores from Function 1 for Analysis 1 |
| DIS1_2 |
Probabilities of Membership in Group 0 for Analysis 1 |
| DIS2_2 |
Probabilities of Membership in Group 1 for Analysis 1 |
| Number of unweighted cases written to the working file after classification |
933 |
| Resources |
Elapsed Time |
0:00:00.44 |
Analysis Case Processing Summary
| Unweighted Cases |
N |
Percent |
| Valid |
932 |
99.9 |
| Excluded |
Missing or out-of-range group codes |
0 |
.0 |
| At least one missing discriminating variable |
1 |
.1 |
| Both missing or out-of-range group codes and at least one missing discriminating variable |
0 |
.0 |
| Total |
1 |
.1 |
| Total |
933 |
100.0 |
Group Statistics
|
Mean |
Std. Deviation |
Valid N (listwise) |
| STATUS_N |
Unweighted |
Weighted |
| 0 |
Dist_Road |
71.072062 |
109.8869276 |
902 |
902.000 |
| DIST_WET |
186.600887 |
185.0839217 |
902 |
902.000 |
| DIST_FOR |
27.146341 |
37.4373421 |
902 |
902.000 |
| Dist_NonFo |
382.156319 |
330.2792733 |
902 |
902.000 |
| Elevation |
54.015521 |
14.7063669 |
902 |
902.000 |
| Aspect_Transf |
.038746 |
.6639974 |
902 |
902.000 |
| SLOPE |
3.664047 |
2.3350530 |
902 |
902.000 |
| %For |
.542081 |
.3889858 |
902 |
902.000 |
| %Wet |
.176868 |
.3053256 |
902 |
902.000 |
| %NonFor |
.059964 |
.1739867 |
902 |
902.000 |
| TC_DIST |
1033.595344 |
726.2715431 |
902 |
902.000 |
| SO_DIST |
1782.950111 |
1357.5122481 |
902 |
902.000 |
| RV_DIST |
1660.934590 |
1280.9731496 |
902 |
902.000 |
| RCLAM_Dist |
469.547672 |
449.8575523 |
902 |
902.000 |
| RCAT_Dist |
838.900222 |
686.4600398 |
902 |
902.000 |
| PC_DIST |
1027.313747 |
860.3648919 |
902 |
902.000 |
| NV_DIST |
530.891353 |
464.8788695 |
902 |
902.000 |
| HC_DIST |
388.952328 |
378.9293770 |
902 |
902.000 |
| BF_DIST |
979.420177 |
723.1995761 |
902 |
902.000 |
| AM_DIST |
405.882483 |
537.7716711 |
902 |
902.000 |
| AC_DIST |
539.294900 |
522.0497716 |
902 |
902.000 |
| NWET |
.111563 |
.1829287 |
902 |
902.000 |
| NNONFOR |
.032162 |
.0916762 |
902 |
902.000 |
| NFOR |
.768038 |
.2477065 |
902 |
902.000 |
| NDIST |
.049146 |
.1084757 |
902 |
902.000 |
| 1 |
Dist_Road |
99.400000 |
107.8749595 |
30 |
30.000 |
| DIST_WET |
15.133333 |
34.9913618 |
30 |
30.000 |
| DIST_FOR |
39.166667 |
34.2768479 |
30 |
30.000 |
| Dist_NonFo |
321.233333 |
254.2119240 |
30 |
30.000 |
| Elevation |
47.500000 |
13.0588852 |
30 |
30.000 |
| Aspect_Transf |
-.148058 |
.5777182 |
30 |
30.000 |
| SLOPE |
3.268333 |
2.4894717 |
30 |
30.000 |
| %For |
.308379 |
.2509726 |
30 |
30.000 |
| %Wet |
.568831 |
.2602015 |
30 |
30.000 |
| %NonFor |
.049966 |
.1191666 |
30 |
30.000 |
| TC_DIST |
863.966667 |
789.7069943 |
30 |
30.000 |
| SO_DIST |
652.366667 |
964.2553133 |
30 |
30.000 |
| RV_DIST |
476.566667 |
752.9043848 |
30 |
30.000 |
| RCLAM_Dist |
123.800000 |
273.1199560 |
30 |
30.000 |
| RCAT_Dist |
362.100000 |
543.7838281 |
30 |
30.000 |
| PC_DIST |
1181.800000 |
641.1530776 |
30 |
30.000 |
| NV_DIST |
203.833333 |
278.5761932 |
30 |
30.000 |
| HC_DIST |
255.566667 |
256.7835105 |
30 |
30.000 |
| BF_DIST |
625.766667 |
659.9414647 |
30 |
30.000 |
| AM_DIST |
631.400000 |
325.7120158 |
30 |
30.000 |
| AC_DIST |
89.566667 |
167.8407873 |
30 |
30.000 |
| NWET |
.448000 |
.2210851 |
30 |
30.000 |
| NNONFOR |
.031333 |
.0608409 |
30 |
30.000 |
| NFOR |
.413333 |
.2172450 |
30 |
30.000 |
| NDIST |
.074667 |
.1272178 |
30 |
30.000 |
| Total |
Dist_Road |
71.983906 |
109.8796860 |
932 |
932.000 |
| DIST_WET |
181.081545 |
184.6815060 |
932 |
932.000 |
| DIST_FOR |
27.533262 |
37.3830862 |
932 |
932.000 |
| Dist_NonFo |
380.195279 |
328.1738269 |
932 |
932.000 |
| Elevation |
53.805794 |
14.6950326 |
932 |
932.000 |
| Aspect_Transf |
.032733 |
.6619442 |
932 |
932.000 |
| SLOPE |
3.651309 |
2.3398088 |
932 |
932.000 |
| %For |
.534558 |
.3874268 |
932 |
932.000 |
| %Wet |
.189485 |
.3116408 |
932 |
932.000 |
| %NonFor |
.059642 |
.1724569 |
932 |
932.000 |
| TC_DIST |
1028.135193 |
728.5579366 |
932 |
932.000 |
| SO_DIST |
1746.557940 |
1360.9856517 |
932 |
932.000 |
| RV_DIST |
1622.811159 |
1284.2975581 |
932 |
932.000 |
| RCLAM_Dist |
458.418455 |
449.3354143 |
932 |
932.000 |
| RCAT_Dist |
823.552575 |
687.2725249 |
932 |
932.000 |
| PC_DIST |
1032.286481 |
854.3559798 |
932 |
932.000 |
| NV_DIST |
520.363734 |
463.5749211 |
932 |
932.000 |
| HC_DIST |
384.658798 |
376.2570474 |
932 |
932.000 |
| BF_DIST |
968.036481 |
723.6234673 |
932 |
932.000 |
| AM_DIST |
413.141631 |
533.6385100 |
932 |
932.000 |
| AC_DIST |
524.818670 |
520.5180044 |
932 |
932.000 |
| NWET |
.122393 |
.1934868 |
932 |
932.000 |
| NNONFOR |
.032135 |
.0908242 |
932 |
932.000 |
| NFOR |
.756620 |
.2545096 |
932 |
932.000 |
| NDIST |
.049968 |
.1091432 |
932 |
932.000 |
Tests of Equality of Group Means
|
Wilks' Lambda |
F |
df1 |
df2 |
Sig. |
| Dist_Road |
.998 |
1.932 |
1 |
930 |
.165 |
| DIST_WET |
.973 |
25.692 |
1 |
930 |
.000 |
| DIST_FOR |
.997 |
3.008 |
1 |
930 |
.083 |
| Dist_NonFo |
.999 |
1.001 |
1 |
930 |
.317 |
| Elevation |
.994 |
5.737 |
1 |
930 |
.017 |
| Aspect_Transf |
.998 |
2.316 |
1 |
930 |
.128 |
| SLOPE |
.999 |
.830 |
1 |
930 |
.362 |
| %For |
.989 |
10.674 |
1 |
930 |
.001 |
| %Wet |
.951 |
48.261 |
1 |
930 |
.000 |
| %NonFor |
1.000 |
.097 |
1 |
930 |
.755 |
| TC_DIST |
.998 |
1.575 |
1 |
930 |
.210 |
| SO_DIST |
.978 |
20.455 |
1 |
930 |
.000 |
| RV_DIST |
.973 |
25.337 |
1 |
930 |
.000 |
| RCLAM_Dist |
.982 |
17.495 |
1 |
930 |
.000 |
| RCAT_Dist |
.985 |
14.172 |
1 |
930 |
.000 |
| PC_DIST |
.999 |
.949 |
1 |
930 |
.330 |
| NV_DIST |
.984 |
14.664 |
1 |
930 |
.000 |
| HC_DIST |
.996 |
3.659 |
1 |
930 |
.056 |
| BF_DIST |
.993 |
6.979 |
1 |
930 |
.008 |
| AM_DIST |
.994 |
5.209 |
1 |
930 |
.023 |
| AC_DIST |
.977 |
22.167 |
1 |
930 |
.000 |
| NWET |
.906 |
96.819 |
1 |
930 |
.000 |
| NNONFOR |
1.000 |
.002 |
1 |
930 |
.961 |
| NFOR |
.939 |
59.966 |
1 |
930 |
.000 |
| NDIST |
.998 |
1.588 |
1 |
930 |
.208 |
Analysis 1
Stepwise Statistics
Variables Entered/Removed(a,b,c,d)
|
Entered |
Wilks' Lambda |
| Statistic |
df1 |
df2 |
df3 |
Exact F |
| Step |
Statistic |
df1 |
df2 |
Sig. |
| 1 |
NWET |
.906 |
1 |
1 |
930.000 |
96.819 |
1 |
930.000 |
.000 |
| 2 |
NV_DIST |
.889 |
2 |
1 |
930.000 |
58.269 |
2 |
929.000 |
.000 |
| 3 |
SO_DIST |
.875 |
3 |
1 |
930.000 |
44.129 |
3 |
928.000 |
.000 |
| 4 |
Aspect_Transf |
.868 |
4 |
1 |
930.000 |
35.261 |
4 |
927.000 |
.000 |
| 5 |
AM_DIST |
.862 |
5 |
1 |
930.000 |
29.540 |
5 |
926.000 |
.000 |
| 6 |
HC_DIST |
.858 |
6 |
1 |
930.000 |
25.616 |
6 |
925.000 |
.000 |
| 7 |
NDIST |
.854 |
7 |
1 |
930.000 |
22.653 |
7 |
924.000 |
.000 |
| At each step, the variable that minimizes the overall Wilks' Lambda is entered. |
| a Maximum number of steps is 50. |
| b Maximum significance of F to enter is .05. |
| c Minimum significance of F to remove is .10. |
| d F level, tolerance, or VIN insufficient for further computation.
|
Variables in the Analysis
| Step |
Tolerance |
Sig. of F to Remove |
Wilks' Lambda |
| 1 |
NWET |
1.000 |
.000 |
|
| 2 |
NWET |
.996 |
.000 |
.984 |
| NV_DIST |
.996 |
.000 |
.906 |
| 3 |
NWET |
.995 |
.000 |
.965 |
| NV_DIST |
.993 |
.000 |
.890 |
| SO_DIST |
.996 |
.000 |
.889 |
| 4 |
NWET |
.983 |
.000 |
.962 |
| NV_DIST |
.986 |
.000 |
.884 |
| SO_DIST |
.996 |
.000 |
.881 |
| Aspect_Transf |
.981 |
.006 |
.875 |
| 5 |
NWET |
.974 |
.000 |
.950 |
| NV_DIST |
.857 |
.000 |
.884 |
| SO_DIST |
.992 |
.000 |
.874 |
| Aspect_Transf |
.973 |
.012 |
.868 |
| AM_DIST |
.847 |
.015 |
.868 |
| 6 |
NWET |
.972 |
.000 |
.945 |
| NV_DIST |
.836 |
.000 |
.875 |
| SO_DIST |
.984 |
.000 |
.871 |
| Aspect_Transf |
.973 |
.011 |
.863 |
| AM_DIST |
.832 |
.007 |
.864 |
| HC_DIST |
.925 |
.021 |
.862 |
| 7 |
NWET |
.943 |
.000 |
.945 |
| NV_DIST |
.834 |
.000 |
.872 |
| SO_DIST |
.937 |
.002 |
.863 |
| Aspect_Transf |
.973 |
.011 |
.859 |
| AM_DIST |
.832 |
.007 |
.860 |
| HC_DIST |
.925 |
.021 |
.858 |
| NDIST |
.925 |
.038 |
.858 |
Variables Not in the Analysis
| Step |
Tolerance |
Min. Tolerance |
Sig. of F to Enter |
Wilks' Lambda |
| 0 |
Dist_Road |
1.000 |
1.000 |
.165 |
.998 |
| DIST_WET |
1.000 |
1.000 |
.000 |
.973 |
| DIST_FOR |
1.000 |
1.000 |
.083 |
.997 |
| Dist_NonFo |
1.000 |
1.000 |
.317 |
.999 |
| Elevation |
1.000 |
1.000 |
.017 |
.994 |
| Aspect_Transf |
1.000 |
1.000 |
.128 |
.998 |
| SLOPE |
1.000 |
1.000 |
.362 |
.999 |
| %For |
1.000 |
1.000 |
.001 |
.989 |
| %Wet |
1.000 |
1.000 |
.000 |
.951 |
| %NonFor |
1.000 |
1.000 |
.755 |
1.000 |
| TC_DIST |
1.000 |
1.000 |
.210 |
.998 |
| SO_DIST |
1.000 |
1.000 |
.000 |
.978 |
| RV_DIST |
1.000 |
1.000 |
.000 |
.973 |
| RCLAM_Dist |
1.000 |
1.000 |
.000 |
.982 |
| RCAT_Dist |
1.000 |
1.000 |
.000 |
.985 |
| PC_DIST |
1.000 |
1.000 |
.330 |
.999 |
| NV_DIST |
1.000 |
1.000 |
.000 |
.984 |
| HC_DIST |
1.000 |
1.000 |
.056 |
.996 |
| BF_DIST |
1.000 |
1.000 |
.008 |
.993 |
| AM_DIST |
1.000 |
1.000 |
.023 |
.994 |
| AC_DIST |
1.000 |
1.000 |
.000 |
.977 |
| NWET |
1.000 |
1.000 |
.000 |
.906 |
| NNONFOR |
1.000 |
1.000 |
.961 |
1.000 |
| NFOR |
1.000 |
1.000 |
.000 |
.939 |
| NDIST |
1.000 |
1.000 |
.208 |
.998 |
| 1 |
Dist_Road |
.999 |
.999 |
.328 |
.905 |
| DIST_WET |
.761 |
.761 |
.782 |
.906 |
| DIST_FOR |
.985 |
.985 |
.605 |
.905 |
| Dist_NonFo |
.987 |
.987 |
.043 |
.902 |
| Elevation |
.704 |
.704 |
.001 |
.895 |
| Aspect_Transf |
.989 |
.989 |
.014 |
.900 |
| SLOPE |
.997 |
.997 |
.166 |
.904 |
| %For |
.904 |
.904 |
.825 |
.906 |
| %Wet |
.533 |
.533 |
.774 |
.906 |
| %NonFor |
.995 |
.995 |
.726 |
.906 |
| TC_DIST |
.999 |
.999 |
.399 |
.905 |
| SO_DIST |
.999 |
.999 |
.000 |
.890 |
| RV_DIST |
.980 |
.980 |
.000 |
.894 |
| RCLAM_Dist |
.969 |
.969 |
.018 |
.900 |
| RCAT_Dist |
.999 |
.999 |
.001 |
.895 |
| PC_DIST |
.995 |
.995 |
.116 |
.903 |
| NV_DIST |
.996 |
.996 |
.000 |
.889 |
| HC_DIST |
.996 |
.996 |
.015 |
.900 |
| BF_DIST |
1.000 |
1.000 |
.013 |
.900 |
| AM_DIST |
.989 |
.989 |
.224 |
.904 |
| AC_DIST |
.975 |
.975 |
.002 |
.897 |
| NNONFOR |
.996 |
.996 |
.572 |
.905 |
| NFOR |
.607 |
.607 |
.055 |
.902 |
| NDIST |
.974 |
.974 |
.006 |
.898 |
| 2 |
Dist_Road |
.969 |
.966 |
.086 |
.886 |
| DIST_WET |
.753 |
.752 |
.880 |
.889 |
| DIST_FOR |
.979 |
.979 |
.400 |
.888 |
| Dist_NonFo |
.987 |
.983 |
.036 |
.884 |
| Elevation |
.703 |
.703 |
.002 |
.879 |
| Aspect_Transf |
.981 |
.981 |
.005 |
.881 |
| SLOPE |
.995 |
.993 |
.119 |
.886 |
| %For |
.903 |
.902 |
.729 |
.888 |
| %Wet |
.532 |
.530 |
.878 |
.889 |
| %NonFor |
.994 |
.991 |
.643 |
.888 |
| TC_DIST |
.971 |
.969 |
.887 |
.889 |
| SO_DIST |
.996 |
.993 |
.000 |
.875 |
| RV_DIST |
.945 |
.945 |
.007 |
.881 |
| RCLAM_Dist |
.787 |
.787 |
.555 |
.888 |
| RCAT_Dist |
.866 |
.864 |
.062 |
.885 |
| PC_DIST |
.934 |
.934 |
.008 |
.882 |
| HC_DIST |
.951 |
.951 |
.117 |
.886 |
| BF_DIST |
.997 |
.993 |
.025 |
.884 |
| AM_DIST |
.858 |
.858 |
.003 |
.880 |
| AC_DIST |
.943 |
.943 |
.022 |
.884 |
| NNONFOR |
.984 |
.984 |
.308 |
.888 |
| NFOR |
.606 |
.606 |
.040 |
.885 |
| NDIST |
.973 |
.969 |
.004 |
.881 |
| 3 |
Dist_Road |
.969 |
.963 |
.094 |
.873 |
| DIST_WET |
.739 |
.739 |
.509 |
.875 |
| DIST_FOR |
.978 |
.978 |
.486 |
.875 |
| Dist_NonFo |
.981 |
.981 |
.070 |
.872 |
| Elevation |
.604 |
.604 |
.058 |
.872 |
| Aspect_Transf |
.981 |
.981 |
.006 |
.868 |
| SLOPE |
.995 |
.991 |
.125 |
.873 |
| %For |
.902 |
.902 |
.842 |
.875 |
| %Wet |
.530 |
.530 |
.923 |
.875 |
| %NonFor |
.988 |
.988 |
.878 |
.875 |
| TC_DIST |
.951 |
.951 |
.489 |
.875 |
| RV_DIST |
.822 |
.822 |
.146 |
.873 |
| RCLAM_Dist |
.787 |
.787 |
.608 |
.875 |
| RCAT_Dist |
.590 |
.590 |
.758 |
.875 |
| PC_DIST |
.890 |
.890 |
.060 |
.872 |
| HC_DIST |
.942 |
.942 |
.055 |
.872 |
| BF_DIST |
.943 |
.942 |
.163 |
.873 |
| AM_DIST |
.854 |
.854 |
.007 |
.868 |
| AC_DIST |
.936 |
.936 |
.052 |
.872 |
| NNONFOR |
.972 |
.972 |
.551 |
.875 |
| NFOR |
.562 |
.562 |
.283 |
.874 |
| NDIST |
.925 |
.925 |
.039 |
.871 |
| 4 |
Dist_Road |
.967 |
.958 |
.121 |
.866 |
| DIST_WET |
.739 |
.739 |
.520 |
.868 |
| DIST_FOR |
.978 |
.970 |
.492 |
.867 |
| Dist_NonFo |
.979 |
.970 |
.097 |
.865 |
| Elevation |
.602 |
.602 |
.083 |
.865 |
| SLOPE |
.992 |
.978 |
.171 |
.866 |
| %For |
.902 |
.890 |
.881 |
.868 |
| %Wet |
.530 |
.526 |
.916 |
.868 |
| %NonFor |
.986 |
.978 |
.975 |
.868 |
| TC_DIST |
.951 |
.951 |
.505 |
.868 |
| RV_DIST |
.821 |
.821 |
.181 |
.866 |
| RCLAM_Dist |
.785 |
.785 |
.706 |
.868 |
| RCAT_Dist |
.589 |
.589 |
.834 |
.868 |
| PC_DIST |
.890 |
.890 |
.058 |
.865 |
| HC_DIST |
.942 |
.941 |
.050 |
.864 |
| BF_DIST |
.942 |
.942 |
.187 |
.866 |
| AM_DIST |
.847 |
.847 |
.015 |
.862 |
| AC_DIST |
.936 |
.936 |
.057 |
.865 |
| NNONFOR |
.970 |
.970 |
.632 |
.868 |
| NFOR |
.562 |
.562 |
.314 |
.867 |
| NDIST |
.925 |
.925 |
.039 |
.864 |
| 5 |
Dist_Road |
.926 |
.811 |
.286 |
.861 |
| DIST_WET |
.726 |
.726 |
.333 |
.862 |
| DIST_FOR |
.977 |
.846 |
.555 |
.862 |
| Dist_NonFo |
.978 |
.846 |
.082 |
.860 |
| Elevation |
.595 |
.595 |
.045 |
.859 |
| SLOPE |
.991 |
.847 |
.160 |
.861 |
| %For |
.895 |
.841 |
.957 |
.862 |
| %Wet |
.516 |
.516 |
.611 |
.862 |
| %NonFor |
.986 |
.847 |
.998 |
.862 |
| TC_DIST |
.950 |
.830 |
.560 |
.862 |
| RV_DIST |
.816 |
.816 |
.127 |
.860 |
| RCLAM_Dist |
.785 |
.712 |
.706 |
.862 |
| RCAT_Dist |
.585 |
.585 |
.685 |
.862 |
| PC_DIST |
.853 |
.811 |
.155 |
.861 |
| HC_DIST |
.925 |
.832 |
.021 |
.858 |
| BF_DIST |
.937 |
.842 |
.132 |
.860 |
| AC_DIST |
.935 |
.836 |
.049 |
.859 |
| NNONFOR |
.970 |
.847 |
.612 |
.862 |
| NFOR |
.561 |
.561 |
.272 |
.861 |
| NDIST |
.925 |
.847 |
.039 |
.858 |
| 6 |
Dist_Road |
.923 |
.799 |
.238 |
.856 |
| DIST_WET |
.721 |
.721 |
.442 |
.857 |
| DIST_FOR |
.976 |
.831 |
.542 |
.857 |
| Dist_NonFo |
.972 |
.831 |
.119 |
.855 |
| Elevation |
.593 |
.593 |
.064 |
.854 |
| SLOPE |
.991 |
.831 |
.148 |
.856 |
| %For |
.893 |
.825 |
.854 |
.857 |
| %Wet |
.516 |
.516 |
.609 |
.857 |
| %NonFor |
.983 |
.832 |
.897 |
.857 |
| TC_DIST |
.948 |
.809 |
.501 |
.857 |
| RV_DIST |
.809 |
.809 |
.189 |
.856 |
| RCLAM_Dist |
.762 |
.709 |
.986 |
.858 |
| RCAT_Dist |
.572 |
.572 |
.444 |
.857 |
| PC_DIST |
.853 |
.798 |
.147 |
.856 |
| BF_DIST |
.870 |
.830 |
.355 |
.857 |
| AC_DIST |
.897 |
.823 |
.126 |
.855 |
| NNONFOR |
.970 |
.827 |
.593 |
.857 |
| NFOR |
.561 |
.561 |
.283 |
.856 |
| NDIST |
.925 |
.832 |
.038 |
.854 |
| 7 |
Dist_Road |
.902 |
.798 |
.131 |
.851 |
| DIST_WET |
.719 |
.719 |
.387 |
.853 |
| DIST_FOR |
.934 |
.830 |
.856 |
.853 |
| Dist_NonFo |
.900 |
.831 |
.302 |
.853 |
| Elevation |
.577 |
.577 |
.125 |
.851 |
| SLOPE |
.964 |
.831 |
.265 |
.852 |
| %For |
.840 |
.824 |
.481 |
.853 |
| %Wet |
.516 |
.516 |
.608 |
.853 |
| %NonFor |
.832 |
.784 |
.459 |
.853 |
| TC_DIST |
.922 |
.809 |
.303 |
.853 |
| RV_DIST |
.792 |
.792 |
.306 |
.853 |
| RCLAM_Dist |
.757 |
.709 |
.876 |
.854 |
| RCAT_Dist |
.572 |
.572 |
.455 |
.853 |
| PC_DIST |
.835 |
.797 |
.247 |
.852 |
| BF_DIST |
.869 |
.830 |
.398 |
.853 |
| AC_DIST |
.893 |
.821 |
.167 |
.852 |
| NNONFOR |
.839 |
.800 |
.806 |
.853 |
| NFOR |
.216 |
.216 |
.373 |
.853 |
Wilks' Lambda
|
Number of Variables |
Lambda |
df1 |
df2 |
df3 |
Exact F |
| Step |
Statistic |
df1 |
df2 |
Sig. |
| 1 |
1 |
.906 |
1 |
1 |
930 |
96.819 |
1 |
930.000 |
.000 |
| 2 |
2 |
.889 |
2 |
1 |
930 |
58.269 |
2 |
929.000 |
.000 |
| 3 |
3 |
.875 |
3 |
1 |
930 |
44.129 |
3 |
928.000 |
.000 |
| 4 |
4 |
.868 |
4 |
1 |
930 |
35.261 |
4 |
927.000 |
.000 |
| 5 |
5 |
.862 |
5 |
1 |
930 |
29.540 |
5 |
926.000 |
.000 |
| 6 |
6 |
.858 |
6 |
1 |
930 |
25.616 |
6 |
925.000 |
.000 |
| 7 |
7 |
.854 |
7 |
1 |
930 |
22.653 |
7 |
924.000 |
.000 |
Summary of Canonical Discriminant Functions
Eigenvalues
| Function |
Eigenvalue |
% of Variance |
Cumulative % |
Canonical Correlation |
| 1 |
.172(a) |
100.0 |
100.0 |
.383 |
| a First 1 canonical discriminant functions were used in the analysis.
|
Wilks' Lambda
| Test of Function(s) |
Wilks' Lambda |
Chi-square |
df |
Sig. |
| 1 |
.854 |
146.742 |
7 |
.000 |
Standardized Canonical Discriminant Function Coefficients
|
Function |
| 1 |
| Aspect_Transf |
-.220 |
| SO_DIST |
-.281 |
| NV_DIST |
-.412 |
| HC_DIST |
-.206 |
| AM_DIST |
.254 |
| NWET |
.838 |
| NDIST |
.185 |
Structure Matrix
|
Function |
| 1 |
| NWET |
.779 |
| NFOR(a) |
-.649 |
| %Wet(a) |
.582 |
| DIST_WET(a) |
-.464 |
| SO_DIST |
-.358 |
| RCAT_Dist(a) |
-.347 |
| RV_DIST(a) |
-.320 |
| RCLAM_Dist(a) |
-.319 |
| %For(a) |
-.314 |
| NV_DIST |
-.303 |
| Elevation(a) |
-.290 |
| AC_DIST(a) |
-.260 |
| AM_DIST |
.181 |
| HC_DIST |
-.151 |
| BF_DIST(a) |
-.141 |
| DIST_FOR(a) |
.122 |
| Aspect_Transf |
-.120 |
| NDIST |
.100 |
| %NonFor(a) |
.033 |
| SLOPE(a) |
.022 |
| NNONFOR(a) |
.015 |
| TC_DIST(a) |
-.014 |
| PC_DIST(a) |
-.014 |
| Dist_Road(a) |
-.013 |
| Dist_NonFo(a) |
.005 |
Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions Variables ordered by absolute size of correlation within function. |
| a This variable not used in the analysis.
|
Functions at Group Centroids
|
Function |
| STATUS_N |
1 |
| 0 |
-7.547E-02 |
| 1 |
2.269 |
| Unstandardized canonical discriminant functions evaluated at group means
|
Classification Statistics
Classification Processing Summary
| Processed |
933 |
| Excluded |
Missing or out-of-range group codes |
0 |
| At least one missing discriminating variable |
1 |
| Used in Output |
932 |
Prior Probabilities for Groups
|
Prior |
Cases Used in Analysis |
| STATUS_N |
Unweighted |
Weighted |
| 0 |
.500 |
902 |
902.000 |
| 1 |
.500 |
30 |
30.000 |
| Total |
1.000 |
932 |
932.000 |
Classification Results(b,c)
|
Predicted Group Membership |
Total |
| STATUS_N |
0 |
1 |
| Original |
Count |
0 |
779 |
123 |
902 |
| 1 |
6 |
24 |
30 |
| % |
0 |
86.4 |
13.6 |
100.0 |
| 1 |
20.0 |
80.0 |
100.0 |
| Cross-validated(a) |
Count |
0 |
779 |
123 |
902 |
| 1 |
6 |
24 |
30 |
| % |
0 |
86.4 |
13.6 |
100.0 |
| 1 |
20.0 |
80.0 |
100.0 |
| a Cross validation is done only for those cases in the analysis. In cross validation, each case is classified by the functions derived from all cases other than that case. |
| b 86.2% of original grouped cases correctly classified. |
| c 86.2% of cross-validated grouped cases correctly classified.
|
ROC Curve
Notes
| Output Created |
10-FEB-2003 11:18:06 |
| Comments |
|
| Input |
Data |
C:\My Documents\Alison\SPSS s.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
933 |
| Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing. |
| Cases Used |
Statistics are based on all cases with valid data for all variables in the analysis. |
| Syntax |
ROC dis1_1 BY status ('Present') /PLOT = CURVE(REFERENCE) /CRITERIA = CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING = EXCLUDE .
|
| Resources |
Elapsed Time |
0:00:00.11 |
Case Processing Summary
| STATUS |
Valid N (listwise) |
| Positive(a) |
30 |
| Negative |
902 |
| Missing |
1 |
| Larger values of the test result variable(s) indicate stronger evidence for a positive actual state. |
| a The positive actual state is Present.
|
Area Under the Curve
Test Result Variable(s): Discriminant Scores from Function 1 for Analysis 1
| Area |
| .929 |
Discriminant
Notes
| Output Created |
10-FEB-2003 11:18:28 |
| Comments |
|
| Input |
Data |
C:\My Documents\Alison\SPSS s.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
933 |
| Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing in the analysis phase. |
| Cases Used |
In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always excluded. |
| Syntax |
DISCRIMINANT /GROUPS=status_n(0 1) /VARIABLES=dist_roa dist_wet dist_for dist_non elevatio aspect_t slope for_perc wet_perc non_perc nwet nnonfor nfor ndist /ANALYSIS ALL /SAVE=SCORES PROBS /METHOD=WILKS /PIN= .05 /POUT= .10 /PRIORS EQUAL /HISTORY /STATISTICS=MEAN STDDEV UNIVF TABLE CROSSVALID /CLASSIFY=NONMISSING POOLED .
|
| Variables Created or Modified |
DIS1_3 |
Discriminant Scores from Function 1 for Analysis 1 |
| DIS1_4 |
Probabilities of Membership in Group 0 for Analysis 1 |
| DIS2_4 |
Probabilities of Membership in Group 1 for Analysis 1 |
| Number of unweighted cases written to the working file after classification |
933 |
| Resources |
Elapsed Time |
0:00:00.28 |
Analysis Case Processing Summary
| Unweighted Cases |
N |
Percent |
| Valid |
932 |
99.9 |
| Excluded |
Missing or out-of-range group codes |
0 |
.0 |
| At least one missing discriminating variable |
1 |
.1 |
| Both missing or out-of-range group codes and at least one missing discriminating variable |
0 |
.0 |
| Total |
1 |
.1 |
| Total |
933 |
100.0 |
Group Statistics
|
Mean |
Std. Deviation |
Valid N (listwise) |
| STATUS_N |
Unweighted |
Weighted |
| 0 |
Dist_Road |
71.072062 |
109.8869276 |
902 |
902.000 |
| DIST_WET |
186.600887 |
185.0839217 |
902 |
902.000 |
| DIST_FOR |
27.146341 |
37.4373421 |
902 |
902.000 |
| Dist_NonFo |
382.156319 |
330.2792733 |
902 |
902.000 |
| Elevation |
54.015521 |
14.7063669 |
902 |
902.000 |
| Aspect_Transf |
.038746 |
.6639974 |
902 |
902.000 |
| SLOPE |
3.664047 |
2.3350530 |
902 |
902.000 |
| %For |
.542081 |
.3889858 |
902 |
902.000 |
| %Wet |
.176868 |
.3053256 |
902 |
902.000 |
| %NonFor |
.059964 |
.1739867 |
902 |
902.000 |
| NWET |
.111563 |
.1829287 |
902 |
902.000 |
| NNONFOR |
.032162 |
.0916762 |
902 |
902.000 |
| NFOR |
.768038 |
.2477065 |
902 |
902.000 |
| NDIST |
.049146 |
.1084757 |
902 |
902.000 |
| 1 |
Dist_Road |
99.400000 |
107.8749595 |
30 |
30.000 |
| DIST_WET |
15.133333 |
34.9913618 |
30 |
30.000 |
| DIST_FOR |
39.166667 |
34.2768479 |
30 |
30.000 |
| Dist_NonFo |
321.233333 |
254.2119240 |
30 |
30.000 |
| Elevation |
47.500000 |
13.0588852 |
30 |
30.000 |
| Aspect_Transf |
-.148058 |
.5777182 |
30 |
30.000 |
| SLOPE |
3.268333 |
2.4894717 |
30 |
30.000 |
| %For |
.308379 |
.2509726 |
30 |
30.000 |
| %Wet |
.568831 |
.2602015 |
30 |
30.000 |
| %NonFor |
.049966 |
.1191666 |
30 |
30.000 |
| NWET |
.448000 |
.2210851 |
30 |
30.000 |
| NNONFOR |
.031333 |
.0608409 |
30 |
30.000 |
| NFOR |
.413333 |
.2172450 |
30 |
30.000 |
| NDIST |
.074667 |
.1272178 |
30 |
30.000 |
| Total |
Dist_Road |
71.983906 |
109.8796860 |
932 |
932.000 |
| DIST_WET |
181.081545 |
184.6815060 |
932 |
932.000 |
| DIST_FOR |
27.533262 |
37.3830862 |
932 |
932.000 |
| Dist_NonFo |
380.195279 |
328.1738269 |
932 |
932.000 |
| Elevation |
53.805794 |
14.6950326 |
932 |
932.000 |
| Aspect_Transf |
.032733 |
.6619442 |
932 |
932.000 |
| SLOPE |
3.651309 |
2.3398088 |
932 |
932.000 |
| %For |
.534558 |
.3874268 |
932 |
932.000 |
| %Wet |
.189485 |
.3116408 |
932 |
932.000 |
| %NonFor |
.059642 |
.1724569 |
932 |
932.000 |
| NWET |
.122393 |
.1934868 |
932 |
932.000 |
| NNONFOR |
.032135 |
.0908242 |
932 |
932.000 |
| NFOR |
.756620 |
.2545096 |
932 |
932.000 |
| NDIST |
.049968 |
.1091432 |
932 |
932.000 |
Tests of Equality of Group Means
|
Wilks' Lambda |
F |
df1 |
df2 |
Sig. |
| Dist_Road |
.998 |
1.932 |
1 |
930 |
.165 |
| DIST_WET |
.973 |
25.692 |
1 |
930 |
.000 |
| DIST_FOR |
.997 |
3.008 |
1 |
930 |
.083 |
| Dist_NonFo |
.999 |
1.001 |
1 |
930 |
.317 |
| Elevation |
.994 |
5.737 |
1 |
930 |
.017 |
| Aspect_Transf |
.998 |
2.316 |
1 |
930 |
.128 |
| SLOPE |
.999 |
.830 |
1 |
930 |
.362 |
| %For |
.989 |
10.674 |
1 |
930 |
.001 |
| %Wet |
.951 |
48.261 |
1 |
930 |
.000 |
| %NonFor |
1.000 |
.097 |
1 |
930 |
.755 |
| NWET |
.906 |
96.819 |
1 |
930 |
.000 |
| NNONFOR |
1.000 |
.002 |
1 |
930 |
.961 |
| NFOR |
.939 |
59.966 |
1 |
930 |
.000 |
| NDIST |
.998 |
1.588 |
1 |
930 |
.208 |
Analysis 1
Stepwise Statistics
Variables Entered/Removed(a,b,c,d)
|
Entered |
Wilks' Lambda |
| Statistic |
df1 |
df2 |
df3 |
Exact F |
| Step |
Statistic |
df1 |
df2 |
Sig. |
| 1 |
NWET |
.906 |
1 |
1 |
930.000 |
96.819 |
1 |
930.000 |
.000 |
| 2 |
Elevation |
.895 |
2 |
1 |
930.000 |
54.589 |
2 |
929.000 |
.000 |
| 3 |
Aspect_Transf |
.890 |
3 |
1 |
930.000 |
38.291 |
3 |
928.000 |
.000 |
| 4 |
NDIST |
.886 |
4 |
1 |
930.000 |
29.877 |
4 |
927.000 |
.000 |
| At each step, the variable that minimizes the overall Wilks' Lambda is entered. |
| a Maximum number of steps is 28. |
| b Maximum significance of F to enter is .05. |
| c Minimum significance of F to remove is .10. |
| d F level, tolerance, or VIN insufficient for further computation.
|
Variables in the Analysis
| Step |
Tolerance |
Sig. of F to Remove |
Wilks' Lambda |
| 1 |
NWET |
1.000 |
.000 |
|
| 2 |
NWET |
.704 |
.000 |
.994 |
| Elevation |
.704 |
.001 |
.906 |
| 3 |
NWET |
.701 |
.000 |
.991 |
| Elevation |
.702 |
.001 |
.900 |
| Aspect_Transf |
.986 |
.023 |
.895 |
| 4 |
NWET |
.701 |
.000 |
.986 |
| Elevation |
.666 |
.008 |
.893 |
| Aspect_Transf |
.986 |
.021 |
.891 |
| NDIST |
.924 |
.040 |
.890 |
Variables Not in the Analysis
| Step |
Tolerance |
Min. Tolerance |
Sig. of F to Enter |
Wilks' Lambda |
| 0 |
Dist_Road |
1.000 |
1.000 |
.165 |
.998 |
| DIST_WET |
1.000 |
1.000 |
.000 |
.973 |
| DIST_FOR |
1.000 |
1.000 |
.083 |
.997 |
| Dist_NonFo |
1.000 |
1.000 |
.317 |
.999 |
| Elevation |
1.000 |
1.000 |
.017 |
.994 |
| Aspect_Transf |
1.000 |
1.000 |
.128 |
.998 |
| SLOPE |
1.000 |
1.000 |
.362 |
.999 |
| %For |
1.000 |
1.000 |
.001 |
.989 |
| %Wet |
1.000 |
1.000 |
.000 |
.951 |
| %NonFor |
1.000 |
1.000 |
.755 |
1.000 |
| NWET |
1.000 |
1.000 |
.000 |
.906 |
| NNONFOR |
1.000 |
1.000 |
.961 |
1.000 |
| NFOR |
1.000 |
1.000 |
.000 |
.939 |
| NDIST |
1.000 |
1.000 |
.208 |
.998 |
| 1 |
Dist_Road |
.999 |
.999 |
.328 |
.905 |
| DIST_WET |
.761 |
.761 |
.782 |
.906 |
| DIST_FOR |
.985 |
.985 |
.605 |
.905 |
| Dist_NonFo |
.987 |
.987 |
.043 |
.902 |
| Elevation |
.704 |
.704 |
.001 |
.895 |
| Aspect_Transf |
.989 |
.989 |
.014 |
.900 |
| SLOPE |
.997 |
.997 |
.166 |
.904 |
| %For |
.904 |
.904 |
.825 |
.906 |
| %Wet |
.533 |
.533 |
.774 |
.906 |
| %NonFor |
.995 |
.995 |
.726 |
.906 |
| NNONFOR |
.996 |
.996 |
.572 |
.905 |
| NFOR |
.607 |
.607 |
.055 |
.902 |
| NDIST |
.974 |
.974 |
.006 |
.898 |
| 2 |
Dist_Road |
.993 |
.700 |
.221 |
.893 |
| DIST_WET |
.745 |
.608 |
.448 |
.894 |
| DIST_FOR |
.978 |
.688 |
.814 |
.895 |
| Dist_NonFo |
.953 |
.679 |
.156 |
.893 |
| Aspect_Transf |
.986 |
.701 |
.023 |
.890 |
| SLOPE |
.931 |
.657 |
.593 |
.895 |
| %For |
.893 |
.632 |
.876 |
.895 |
| %Wet |
.510 |
.478 |
.317 |
.894 |
| %NonFor |
.944 |
.667 |
.674 |
.895 |
| NNONFOR |
.962 |
.680 |
.959 |
.895 |
| NFOR |
.553 |
.398 |
.339 |
.894 |
| NDIST |
.924 |
.668 |
.042 |
.891 |
| 3 |
Dist_Road |
.989 |
.698 |
.277 |
.889 |
| DIST_WET |
.745 |
.606 |
.441 |
.889 |
| DIST_FOR |
.978 |
.686 |
.823 |
.890 |
| Dist_NonFo |
.951 |
.678 |
.189 |
.888 |
| SLOPE |
.928 |
.656 |
.677 |
.890 |
| %For |
.893 |
.629 |
.850 |
.890 |
| %Wet |
.510 |
.476 |
.331 |
.889 |
| %NonFor |
.943 |
.666 |
.617 |
.890 |
| NNONFOR |
.961 |
.679 |
.884 |
.890 |
| NFOR |
.553 |
.396 |
.353 |
.889 |
| NDIST |
.924 |
.666 |
.040 |
.886 |
| 4 |
Dist_Road |
.975 |
.664 |
.179 |
.884 |
| DIST_WET |
.736 |
.604 |
.582 |
.886 |
| DIST_FOR |
.940 |
.665 |
.850 |
.886 |
| Dist_NonFo |
.893 |
.655 |
.410 |
.885 |
| SLOPE |
.916 |
.631 |
.852 |
.886 |
| %For |
.847 |
.624 |
.505 |
.885 |
| %Wet |
.507 |
.475 |
.402 |
.885 |
| %NonFor |
.816 |
.651 |
.179 |
.884 |
| NNONFOR |
.839 |
.659 |
.349 |
.885 |
| NFOR |
.214 |
.214 |
.275 |
.885 |
Wilks' Lambda
|
Number of Variables |
Lambda |
df1 |
df2 |
df3 |
Exact F |
| Step |
Statistic |
df1 |
df2 |
Sig. |
| 1 |
1 |
.906 |
1 |
1 |
930 |
96.819 |
1 |
930.000 |
.000 |
| 2 |
2 |
.895 |
2 |
1 |
930 |
54.589 |
2 |
929.000 |
.000 |
| 3 |
3 |
.890 |
3 |
1 |
930 |
38.291 |
3 |
928.000 |
.000 |
| 4 |
4 |
.886 |
4 |
1 |
930 |
29.877 |
4 |
927.000 |
.000 |
Summary of Canonical Discriminant Functions
Eigenvalues
| Function |
Eigenvalue |
% of Variance |
Cumulative % |
Canonical Correlation |
| 1 |
.129(a) |
100.0 |
100.0 |
.338 |
| a First 1 canonical discriminant functions were used in the analysis.
|
Wilks' Lambda
| Test of Function(s) |
Wilks' Lambda |
Chi-square |
df |
Sig. |
| 1 |
.886 |
112.529 |
4 |
.000 |
Standardized Canonical Discriminant Function Coefficients
|
Function |
| 1 |
| Elevation |
.316 |
| Aspect_Transf |
-.225 |
| NWET |
1.128 |
| NDIST |
.208 |
Structure Matrix
|
Function |
| 1 |
| NWET |
.899 |
| NFOR(a) |
-.756 |
| %Wet(a) |
.576 |
| DIST_WET(a) |
-.417 |
| %For(a) |
-.358 |
| Elevation |
-.219 |
| DIST_FOR(a) |
.176 |
| Aspect_Transf |
-.139 |
| NDIST |
.115 |
| %NonFor(a) |
.090 |
| NNONFOR(a) |
.079 |
| SLOPE(a) |
-.066 |
| Dist_NonFo(a) |
-.016 |
| Dist_Road(a) |
-.002 |
Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions Variables ordered by absolute size of correlation within function. |
| a This variable not used in the analysis.
|
Functions at Group Centroids
|
Function |
| STATUS_N |
1 |
| 0 |
-6.541E-02 |
| 1 |
1.967 |
| Unstandardized canonical discriminant functions evaluated at group means
|
Classification Statistics
Classification Processing Summary
| Processed |
933 |
| Excluded |
Missing or out-of-range group codes |
0 |
| At least one missing discriminating variable |
1 |
| Used in Output |
932 |
Prior Probabilities for Groups
|
Prior |
Cases Used in Analysis |
| STATUS_N |
Unweighted |
Weighted |
| 0 |
.500 |
902 |
902.000 |
| 1 |
.500 |
30 |
30.000 |
| Total |
1.000 |
932 |
932.000 |
Classification Results(b,c)
|
Predicted Group Membership |
Total |
| STATUS_N |
0 |
1 |
| Original |
Count |
0 |
762 |
140 |
902 |
| 1 |
8 |
22 |
30 |
| % |
0 |
84.5 |
15.5 |
100.0 |
| 1 |
26.7 |
73.3 |
100.0 |
| Cross-validated(a) |
Count |
0 |
760 |
142 |
902 |
| 1 |
9 |
21 |
30 |
| % |
0 |
84.3 |
15.7 |
100.0 |
| 1 |
30.0 |
70.0 |
100.0 |
| a Cross validation is done only for those cases in the analysis. In cross validation, each case is classified by the functions derived from all cases other than that case. |
| b 84.1% of original grouped cases correctly classified. |
| c 83.8% of cross-validated grouped cases correctly classified.
|
ROC Curve
Notes
| Output Created |
10-FEB-2003 11:19:00 |
| Comments |
|
| Input |
Data |
C:\My Documents\Alison\SPSS s.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
933 |
| Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing. |
| Cases Used |
Statistics are based on all cases with valid data for all variables in the analysis. |
| Syntax |
ROC dis1_3 BY status ('Present') /PLOT = CURVE(REFERENCE) /CRITERIA = CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING = EXCLUDE .
|
| Resources |
Elapsed Time |
0:00:00.11 |
Case Processing Summary
| STATUS |
Valid N (listwise) |
| Positive(a) |
30 |
| Negative |
902 |
| Missing |
1 |
| Larger values of the test result variable(s) indicate stronger evidence for a positive actual state. |
| a The positive actual state is Present.
|
Area Under the Curve
Test Result Variable(s): Discriminant Scores from Function 1 for Analysis 1
| Area |
| .887 |