>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# 205, Column# 5)
>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# 205, Column# 6)
>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# 205, Column# 7)
>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# 205, Column# 8)
>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# 205, Column# 9)
>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# 205, Column# 10)
>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# 205, Column# 11)
>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# 205, Column# 13)
>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# 205, Column# 14)
>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# 205, Column# 15)
>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# 205, Column# 16)
>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# 205, Column# 17)
>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# 205, Column# 18)
>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# 205, Column# 19)
>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# 205, Column# 20)
>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# 205, Column# 21)
>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# 205, Column# 22)
>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# 205, Column# 23)
>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# 205, Column# 24)
>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# 205, Column# 25)
>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# 205, Column# 26)
>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# 205, Column# 27)
Logistic Regression
Notes
| Output Created |
27-MAR-2003 15:54:43 |
| Comments |
|
| Input |
Data |
D:\Raw Data\Sternotherus odoratus\DFA_LR_data.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
945 |
| Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing |
| Syntax |
LOGISTIC REGRESSION VAR=status_n /METHOD=FSTEP(LR) dist_for dist_non dist_roa dist_wet elevatio slope aspect_t tc rv rcl rca pc nv ns hc bf am ac ndist nfor nnonf nwet perc_for perc_fie perc_wet /SAVE PRED PGROUP /CLASSPLOT /CASEWISE OUTLIER(2) /PRINT=GOODFIT /CRITERIA PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
|
| Variables Created or Modified |
PRE_1 |
Predicted probability |
| PGR_1 |
Predicted group |
| Resources |
Elapsed Time |
0:00:02.81 |
Case Processing Summary
| Unweighted Cases(a) |
N |
Percent |
| Selected Cases |
Included in Analysis |
945 |
100.0 |
| Missing Cases |
0 |
.0 |
| Total |
945 |
100.0 |
| Unselected Cases |
0 |
.0 |
| Total |
945 |
100.0 |
| a If weight is in effect, see classification table for the total number of cases.
|
Dependent Variable Encoding
| Original Value |
Internal Value |
| 0 |
0 |
| 1 |
1 |
Block 0: Beginning Block
Classification Table(a,b)
|
Predicted |
| STATUS_N |
Percentage Correct |
| Observed |
0 |
1 |
| Step 0 |
STATUS_N |
0 |
899 |
0 |
100.0 |
| 1 |
46 |
0 |
.0 |
| Overall Percentage |
|
|
95.1 |
| 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 |
-2.973 |
.151 |
386.697 |
1 |
.000 |
.051 |
Variables not in the Equation(a)
|
Score |
df |
Sig. |
| Step 0 |
Variables |
DIST_FOR |
14.247 |
1 |
.000 |
| DIST_NON |
.289 |
1 |
.591 |
| DIST_ROA |
.004 |
1 |
.949 |
| DIST_WET |
43.216 |
1 |
.000 |
| ELEVATIO |
10.838 |
1 |
.001 |
| SLOPE |
.009 |
1 |
.924 |
| ASPECT_T |
.367 |
1 |
.545 |
| TC |
5.851 |
1 |
.016 |
| RV |
12.724 |
1 |
.000 |
| RCL |
4.097 |
1 |
.043 |
| RCA |
25.147 |
1 |
.000 |
| PC |
2.131 |
1 |
.144 |
| NV |
.721 |
1 |
.396 |
| NS |
6.611 |
1 |
.010 |
| HC |
.351 |
1 |
.554 |
| BF |
12.526 |
1 |
.000 |
| AM |
21.781 |
1 |
.000 |
| AC |
14.642 |
1 |
.000 |
| NDIST |
.046 |
1 |
.830 |
| NFOR |
72.992 |
1 |
.000 |
| NNONF |
7.245 |
1 |
.007 |
| NWET |
98.599 |
1 |
.000 |
| PERC_FOR |
27.641 |
1 |
.000 |
| PERC_FIE |
3.037 |
1 |
.081 |
| PERC_WET |
108.563 |
1 |
.000 |
| 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 |
85.075 |
1 |
.000 |
| Block |
85.075 |
1 |
.000 |
| Model |
85.075 |
1 |
.000 |
| Step 2 |
Step |
18.577 |
1 |
.000 |
| Block |
103.652 |
2 |
.000 |
| Model |
103.652 |
2 |
.000 |
| Step 3 |
Step |
29.156 |
1 |
.000 |
| Block |
132.808 |
3 |
.000 |
| Model |
132.808 |
3 |
.000 |
| Step 4 |
Step |
9.912 |
1 |
.002 |
| Block |
142.720 |
4 |
.000 |
| Model |
142.720 |
4 |
.000 |
| Step 5 |
Step |
7.314 |
1 |
.007 |
| Block |
150.034 |
5 |
.000 |
| Model |
150.034 |
5 |
.000 |
| Step 6 |
Step |
12.442 |
1 |
.000 |
| Block |
162.476 |
6 |
.000 |
| Model |
162.476 |
6 |
.000 |
| Step 7 |
Step |
9.750 |
1 |
.002 |
| Block |
172.226 |
7 |
.000 |
| Model |
172.226 |
7 |
.000 |
| Step 8 |
Step |
4.959 |
1 |
.026 |
| Block |
177.186 |
8 |
.000 |
| Model |
177.186 |
8 |
.000 |
Model Summary
| Step |
-2 Log likelihood |
Cox & Snell R Square |
Nagelkerke R Square |
| 1 |
282.723 |
.086 |
.267 |
| 2 |
264.145 |
.104 |
.322 |
| 3 |
234.989 |
.131 |
.407 |
| 4 |
225.077 |
.140 |
.435 |
| 5 |
217.764 |
.147 |
.455 |
| 6 |
205.322 |
.158 |
.490 |
| 7 |
195.571 |
.167 |
.517 |
| 8 |
190.612 |
.171 |
.530 |
Hosmer and Lemeshow Test
| Step |
Chi-square |
df |
Sig. |
| 1 |
13.380 |
2 |
.001 |
| 2 |
16.731 |
7 |
.019 |
| 3 |
3.801 |
8 |
.875 |
| 4 |
8.722 |
8 |
.366 |
| 5 |
6.504 |
8 |
.591 |
| 6 |
11.315 |
8 |
.185 |
| 7 |
8.449 |
8 |
.391 |
| 8 |
12.851 |
8 |
.117 |
Contingency Table for Hosmer and Lemeshow Test
|
STATUS_N = 0 |
STATUS_N = 1 |
Total |
| Observed |
Expected |
Observed |
Expected |
| Step 1 |
1 |
613 |
607.893 |
1 |
6.107 |
614 |
| 2 |
89 |
92.874 |
6 |
2.126 |
95 |
| 3 |
84 |
87.396 |
11 |
7.604 |
95 |
| 4 |
113 |
110.837 |
28 |
30.163 |
141 |
| Step 2 |
1 |
207 |
206.043 |
0 |
.957 |
207 |
| 2 |
91 |
90.549 |
0 |
.451 |
91 |
| 3 |
95 |
94.414 |
0 |
.586 |
95 |
| 4 |
95 |
94.190 |
0 |
.810 |
95 |
| 5 |
94 |
92.800 |
0 |
1.200 |
94 |
| 6 |
93 |
91.774 |
1 |
2.226 |
94 |
| 7 |
87 |
90.492 |
8 |
4.508 |
95 |
| 8 |
76 |
84.086 |
19 |
10.914 |
95 |
| 9 |
61 |
54.650 |
18 |
24.350 |
79 |
| Step 3 |
1 |
95 |
94.965 |
0 |
.035 |
95 |
| 2 |
95 |
94.919 |
0 |
.081 |
95 |
| 3 |
95 |
94.859 |
0 |
.141 |
95 |
| 4 |
95 |
94.762 |
0 |
.238 |
95 |
| 5 |
95 |
94.607 |
0 |
.393 |
95 |
| 6 |
94 |
94.330 |
1 |
.670 |
95 |
| 7 |
95 |
93.634 |
0 |
1.366 |
95 |
| 8 |
93 |
91.210 |
2 |
3.790 |
95 |
| 9 |
84 |
85.098 |
11 |
9.902 |
95 |
| 10 |
58 |
60.615 |
32 |
29.385 |
90 |
| Step 4 |
1 |
96 |
95.974 |
0 |
.026 |
96 |
| 2 |
95 |
94.943 |
0 |
.057 |
95 |
| 3 |
95 |
94.884 |
0 |
.116 |
95 |
| 4 |
95 |
94.812 |
0 |
.188 |
95 |
| 5 |
95 |
94.689 |
0 |
.311 |
95 |
| 6 |
94 |
94.418 |
1 |
.582 |
95 |
| 7 |
93 |
91.859 |
0 |
1.141 |
93 |
| 8 |
95 |
91.803 |
0 |
3.197 |
95 |
| 9 |
80 |
85.305 |
15 |
9.695 |
95 |
| 10 |
61 |
60.313 |
30 |
30.687 |
91 |
| Step 5 |
1 |
95 |
94.983 |
0 |
.017 |
95 |
| 2 |
96 |
95.950 |
0 |
.050 |
96 |
| 3 |
95 |
94.911 |
0 |
.089 |
95 |
| 4 |
96 |
95.846 |
0 |
.154 |
96 |
| 5 |
94 |
94.754 |
1 |
.246 |
95 |
| 6 |
95 |
94.479 |
0 |
.521 |
95 |
| 7 |
95 |
93.901 |
0 |
1.099 |
95 |
| 8 |
94 |
92.168 |
1 |
2.832 |
95 |
| 9 |
83 |
85.904 |
12 |
9.096 |
95 |
| 10 |
56 |
56.104 |
32 |
31.896 |
88 |
| Step 6 |
1 |
95 |
94.997 |
0 |
.003 |
95 |
| 2 |
95 |
94.987 |
0 |
.013 |
95 |
| 3 |
95 |
94.965 |
0 |
.035 |
95 |
| 4 |
95 |
94.931 |
0 |
.069 |
95 |
| 5 |
95 |
94.841 |
0 |
.159 |
95 |
| 6 |
94 |
94.637 |
1 |
.363 |
95 |
| 7 |
95 |
94.164 |
0 |
.836 |
95 |
| 8 |
95 |
92.718 |
0 |
2.282 |
95 |
| 9 |
79 |
85.947 |
16 |
9.053 |
95 |
| 10 |
61 |
56.810 |
29 |
33.190 |
90 |
| Step 7 |
1 |
95 |
94.999 |
0 |
.001 |
95 |
| 2 |
96 |
95.995 |
0 |
.005 |
96 |
| 3 |
95 |
94.985 |
0 |
.015 |
95 |
| 4 |
95 |
94.960 |
0 |
.040 |
95 |
| 5 |
94 |
94.885 |
1 |
.115 |
95 |
| 6 |
95 |
94.738 |
0 |
.262 |
95 |
| 7 |
96 |
95.240 |
0 |
.760 |
96 |
| 8 |
94 |
93.172 |
1 |
1.828 |
95 |
| 9 |
87 |
86.341 |
8 |
8.659 |
95 |
| 10 |
52 |
53.685 |
36 |
34.315 |
88 |
| Step 8 |
1 |
95 |
95.000 |
0 |
.000 |
95 |
| 2 |
95 |
94.997 |
0 |
.003 |
95 |
| 3 |
95 |
94.989 |
0 |
.011 |
95 |
| 4 |
95 |
94.968 |
0 |
.032 |
95 |
| 5 |
94 |
94.912 |
1 |
.088 |
95 |
| 6 |
95 |
94.759 |
0 |
.241 |
95 |
| 7 |
92 |
92.336 |
1 |
.664 |
93 |
| 8 |
95 |
93.134 |
0 |
1.866 |
95 |
| 9 |
90 |
87.944 |
5 |
7.056 |
95 |
| 10 |
53 |
55.961 |
39 |
36.039 |
92 |
Classification Table(a)
|
Predicted |
| STATUS_N |
Percentage Correct |
| Observed |
0 |
1 |
| Step 1 |
STATUS_N |
0 |
899 |
0 |
100.0 |
| 1 |
46 |
0 |
.0 |
| Overall Percentage |
|
|
95.1 |
| Step 2 |
STATUS_N |
0 |
894 |
5 |
99.4 |
| 1 |
45 |
1 |
2.2 |
| Overall Percentage |
|
|
94.7 |
| Step 3 |
STATUS_N |
0 |
890 |
9 |
99.0 |
| 1 |
46 |
0 |
.0 |
| Overall Percentage |
|
|
94.2 |
| Step 4 |
STATUS_N |
0 |
889 |
10 |
98.9 |
| 1 |
42 |
4 |
8.7 |
| Overall Percentage |
|
|
94.5 |
| Step 5 |
STATUS_N |
0 |
893 |
6 |
99.3 |
| 1 |
38 |
8 |
17.4 |
| Overall Percentage |
|
|
95.3 |
| Step 6 |
STATUS_N |
0 |
892 |
7 |
99.2 |
| 1 |
35 |
11 |
23.9 |
| Overall Percentage |
|
|
95.6 |
| Step 7 |
STATUS_N |
0 |
890 |
9 |
99.0 |
| 1 |
38 |
8 |
17.4 |
| Overall Percentage |
|
|
95.0 |
| Step 8 |
STATUS_N |
0 |
890 |
9 |
99.0 |
| 1 |
35 |
11 |
23.9 |
| Overall Percentage |
|
|
95.3 |
| a The cut value is .500
|
Variables in the Equation
|
B |
S.E. |
Wald |
df |
Sig. |
Exp(B) |
| Step 1(a) |
PERC_WET |
4.006 |
.496 |
65.336 |
1 |
.000 |
54.946 |
| Constant |
-4.601 |
.346 |
176.291 |
1 |
.000 |
.010 |
| Step 2(b) |
NFOR |
-2.946 |
.690 |
18.212 |
1 |
.000 |
.053 |
| PERC_WET |
3.040 |
.521 |
34.067 |
1 |
.000 |
20.900 |
| Constant |
-2.426 |
.547 |
19.684 |
1 |
.000 |
.088 |
| Step 3(c) |
RCA |
-.002 |
.000 |
17.737 |
1 |
.000 |
.998 |
| NFOR |
-3.514 |
.736 |
22.817 |
1 |
.000 |
.030 |
| PERC_WET |
3.437 |
.575 |
35.707 |
1 |
.000 |
31.086 |
| Constant |
-1.538 |
.562 |
7.497 |
1 |
.006 |
.215 |
| Step 4(d) |
RCA |
-.002 |
.000 |
17.261 |
1 |
.000 |
.998 |
| AM |
.001 |
.000 |
10.141 |
1 |
.001 |
1.001 |
| NFOR |
-3.764 |
.764 |
24.249 |
1 |
.000 |
.023 |
| PERC_WET |
3.292 |
.584 |
31.807 |
1 |
.000 |
26.893 |
| Constant |
-1.883 |
.575 |
10.706 |
1 |
.001 |
.152 |
| Step 5(e) |
RCA |
-.001 |
.000 |
11.182 |
1 |
.001 |
.999 |
| BF |
-.001 |
.000 |
6.627 |
1 |
.010 |
.999 |
| AM |
.001 |
.000 |
9.937 |
1 |
.002 |
1.001 |
| NFOR |
-3.710 |
.785 |
22.342 |
1 |
.000 |
.024 |
| PERC_WET |
3.562 |
.629 |
32.050 |
1 |
.000 |
35.230 |
| Constant |
-1.570 |
.618 |
6.448 |
1 |
.011 |
.208 |
| Step 6(f) |
RCA |
-.002 |
.000 |
14.236 |
1 |
.000 |
.998 |
| HC |
.002 |
.001 |
11.946 |
1 |
.001 |
1.002 |
| BF |
-.001 |
.000 |
12.116 |
1 |
.000 |
.999 |
| AM |
.001 |
.000 |
13.262 |
1 |
.000 |
1.001 |
| NFOR |
-4.015 |
.829 |
23.434 |
1 |
.000 |
.018 |
| PERC_WET |
3.851 |
.646 |
35.504 |
1 |
.000 |
47.052 |
| Constant |
-1.949 |
.630 |
9.573 |
1 |
.002 |
.142 |
| Step 7(g) |
DIST_NON |
.002 |
.001 |
10.327 |
1 |
.001 |
1.002 |
| RCA |
-.002 |
.001 |
17.467 |
1 |
.000 |
.998 |
| HC |
.002 |
.001 |
13.345 |
1 |
.000 |
1.002 |
| BF |
-.002 |
.000 |
15.863 |
1 |
.000 |
.998 |
| AM |
.001 |
.000 |
15.184 |
1 |
.000 |
1.001 |
| NFOR |
-5.184 |
.979 |
28.040 |
1 |
.000 |
.006 |
| PERC_WET |
3.520 |
.669 |
27.668 |
1 |
.000 |
33.796 |
| Constant |
-1.809 |
.643 |
7.915 |
1 |
.005 |
.164 |
| Step 8(h) |
DIST_NON |
.002 |
.001 |
10.653 |
1 |
.001 |
1.002 |
| RCA |
-.002 |
.001 |
18.231 |
1 |
.000 |
.998 |
| HC |
.002 |
.001 |
13.457 |
1 |
.000 |
1.002 |
| BF |
-.002 |
.000 |
15.785 |
1 |
.000 |
.998 |
| AM |
.001 |
.000 |
15.628 |
1 |
.000 |
1.001 |
| NFOR |
-6.181 |
1.147 |
29.054 |
1 |
.000 |
.002 |
| PERC_FOR |
2.375 |
1.146 |
4.296 |
1 |
.038 |
10.746 |
| PERC_WET |
4.821 |
1.040 |
21.487 |
1 |
.000 |
124.127 |
| Constant |
-2.700 |
.876 |
9.505 |
1 |
.002 |
.067 |
| a Variable(s) entered on step 1: PERC_WET. |
| b Variable(s) entered on step 2: NFOR. |
| c Variable(s) entered on step 3: RCA. |
| d Variable(s) entered on step 4: AM. |
| e Variable(s) entered on step 5: BF. |
| f Variable(s) entered on step 6: HC. |
| g Variable(s) entered on step 7: DIST_NON. |
| h Variable(s) entered on step 8: PERC_FOR.
|
Model if Term Removed
| Variable |
Model Log Likelihood |
Change in -2 Log Likelihood |
df |
Sig. of the Change |
| Step 1 |
PERC_WET |
-183.899 |
85.075 |
1 |
.000 |
| Step 2 |
NFOR |
-141.361 |
18.577 |
1 |
.000 |
| PERC_WET |
-153.049 |
41.953 |
1 |
.000 |
| Step 3 |
RCA |
-132.073 |
29.156 |
1 |
.000 |
| NFOR |
-129.905 |
24.821 |
1 |
.000 |
| PERC_WET |
-140.873 |
46.756 |
1 |
.000 |
| Step 4 |
RCA |
-126.546 |
28.015 |
1 |
.000 |
| AM |
-117.495 |
9.912 |
1 |
.002 |
| NFOR |
-126.016 |
26.956 |
1 |
.000 |
| PERC_WET |
-133.056 |
41.034 |
1 |
.000 |
| Step 5 |
RCA |
-117.612 |
17.460 |
1 |
.000 |
| BF |
-112.539 |
7.314 |
1 |
.007 |
| AM |
-113.758 |
9.752 |
1 |
.002 |
| NFOR |
-121.350 |
24.936 |
1 |
.000 |
| PERC_WET |
-130.746 |
43.728 |
1 |
.000 |
| Step 6 |
RCA |
-114.936 |
24.551 |
1 |
.000 |
| HC |
-108.882 |
12.442 |
1 |
.000 |
| BF |
-109.953 |
14.584 |
1 |
.000 |
| AM |
-108.892 |
12.462 |
1 |
.000 |
| NFOR |
-116.079 |
26.836 |
1 |
.000 |
| PERC_WET |
-127.425 |
49.529 |
1 |
.000 |
| Step 7 |
DIST_NON |
-102.661 |
9.750 |
1 |
.002 |
| RCA |
-113.572 |
31.573 |
1 |
.000 |
| HC |
-104.789 |
14.007 |
1 |
.000 |
| BF |
-107.498 |
19.426 |
1 |
.000 |
| AM |
-105.228 |
14.884 |
1 |
.000 |
| NFOR |
-115.428 |
35.285 |
1 |
.000 |
| PERC_WET |
-116.034 |
36.497 |
1 |
.000 |
| Step 8 |
DIST_NON |
-100.227 |
9.843 |
1 |
.002 |
| RCA |
-112.344 |
34.076 |
1 |
.000 |
| HC |
-102.388 |
14.164 |
1 |
.000 |
| BF |
-104.897 |
19.183 |
1 |
.000 |
| AM |
-102.807 |
15.002 |
1 |
.000 |
| NFOR |
-115.425 |
40.239 |
1 |
.000 |
| PERC_FOR |
-97.786 |
4.959 |
1 |
.026 |
| PERC_WET |
-115.125 |
39.639 |
1 |
.000 |
Variables not in the Equation(a)
|
Score |
df |
Sig. |
| Step 1 |
Variables |
DIST_FOR |
.672 |
1 |
.412 |
| DIST_NON |
.387 |
1 |
.534 |
| DIST_ROA |
.001 |
1 |
.978 |
| DIST_WET |
8.472 |
1 |
.004 |
| ELEVATIO |
4.876 |
1 |
.027 |
| SLOPE |
.000 |
1 |
.982 |
| ASPECT_T |
.740 |
1 |
.390 |
| TC |
5.123 |
1 |
.024 |
| RV |
7.465 |
1 |
.006 |
| RCL |
.112 |
1 |
.738 |
| RCA |
17.711 |
1 |
.000 |
| PC |
4.105 |
1 |
.043 |
| NV |
.892 |
1 |
.345 |
| NS |
5.074 |
1 |
.024 |
| HC |
.076 |
1 |
.782 |
| BF |
17.522 |
1 |
.000 |
| AM |
11.593 |
1 |
.001 |
| AC |
4.107 |
1 |
.043 |
| NDIST |
1.247 |
1 |
.264 |
| NFOR |
19.412 |
1 |
.000 |
| NNONF |
15.529 |
1 |
.000 |
| NWET |
6.803 |
1 |
.009 |
| PERC_FOR |
.162 |
1 |
.687 |
| PERC_FIE |
.186 |
1 |
.666 |
| Step 2 |
Variables |
DIST_FOR |
.426 |
1 |
.514 |
| DIST_NON |
.055 |
1 |
.815 |
| DIST_ROA |
.059 |
1 |
.808 |
| DIST_WET |
5.285 |
1 |
.022 |
| ELEVATIO |
5.736 |
1 |
.017 |
| SLOPE |
.554 |
1 |
.457 |
| ASPECT_T |
.866 |
1 |
.352 |
| TC |
3.106 |
1 |
.078 |
| RV |
3.335 |
1 |
.068 |
| RCL |
.000 |
1 |
.992 |
| RCA |
21.915 |
1 |
.000 |
| PC |
5.684 |
1 |
.017 |
| NV |
.032 |
1 |
.859 |
| NS |
3.863 |
1 |
.049 |
| HC |
.012 |
1 |
.914 |
| BF |
16.785 |
1 |
.000 |
| AM |
16.477 |
1 |
.000 |
| AC |
3.817 |
1 |
.051 |
| NDIST |
1.941 |
1 |
.164 |
| NNONF |
1.158 |
1 |
.282 |
| NWET |
.119 |
1 |
.730 |
| PERC_FOR |
2.717 |
1 |
.099 |
| PERC_FIE |
2.984 |
1 |
.084 |
| Step 3 |
Variables |
DIST_FOR |
.298 |
1 |
.585 |
| DIST_NON |
4.353 |
1 |
.037 |
| DIST_ROA |
.712 |
1 |
.399 |
| DIST_WET |
2.475 |
1 |
.116 |
| ELEVATIO |
.471 |
1 |
.493 |
| SLOPE |
1.696 |
1 |
.193 |
| ASPECT_T |
.331 |
1 |
.565 |
| TC |
2.269 |
1 |
.132 |
| RV |
2.549 |
1 |
.110 |
| RCL |
1.891 |
1 |
.169 |
| PC |
2.381 |
1 |
.123 |
| NV |
8.448 |
1 |
.004 |
| NS |
1.072 |
1 |
.300 |
| HC |
3.778 |
1 |
.052 |
| BF |
6.969 |
1 |
.008 |
| AM |
13.314 |
1 |
.000 |
| AC |
.001 |
1 |
.974 |
| NDIST |
3.685 |
1 |
.055 |
| NNONF |
.888 |
1 |
.346 |
| NWET |
.897 |
1 |
.344 |
| PERC_FOR |
4.858 |
1 |
.028 |
| PERC_FIE |
6.301 |
1 |
.012 |
| Step 4 |
Variables |
DIST_FOR |
.069 |
1 |
.793 |
| DIST_NON |
5.927 |
1 |
.015 |
| DIST_ROA |
.073 |
1 |
.787 |
| DIST_WET |
2.235 |
1 |
.135 |
| ELEVATIO |
.491 |
1 |
.483 |
| SLOPE |
2.802 |
1 |
.094 |
| ASPECT_T |
.074 |
1 |
.785 |
| TC |
2.909 |
1 |
.088 |
| RV |
1.420 |
1 |
.233 |
| RCL |
1.866 |
1 |
.172 |
| PC |
.078 |
1 |
.779 |
| NV |
2.462 |
1 |
.117 |
| NS |
.793 |
1 |
.373 |
| HC |
5.408 |
1 |
.020 |
| BF |
6.732 |
1 |
.009 |
| AC |
.016 |
1 |
.900 |
| NDIST |
3.792 |
1 |
.051 |
| NNONF |
.670 |
1 |
.413 |
| NWET |
.798 |
1 |
.372 |
| PERC_FOR |
4.557 |
1 |
.033 |
| PERC_FIE |
6.260 |
1 |
.012 |
| Step 5 |
Variables |
DIST_FOR |
.045 |
1 |
.831 |
| DIST_NON |
9.333 |
1 |
.002 |
| DIST_ROA |
.001 |
1 |
.970 |
| DIST_WET |
1.664 |
1 |
.197 |
| ELEVATIO |
.002 |
1 |
.961 |
| SLOPE |
2.824 |
1 |
.093 |
| ASPECT_T |
.035 |
1 |
.852 |
| TC |
2.765 |
1 |
.096 |
| RV |
1.881 |
1 |
.170 |
| RCL |
2.427 |
1 |
.119 |
| PC |
.083 |
1 |
.774 |
| NV |
2.385 |
1 |
.122 |
| NS |
1.837 |
1 |
.175 |
| HC |
12.975 |
1 |
.000 |
| AC |
.069 |
1 |
.792 |
| NDIST |
5.779 |
1 |
.016 |
| NNONF |
.352 |
1 |
.553 |
| NWET |
1.860 |
1 |
.173 |
| PERC_FOR |
4.400 |
1 |
.036 |
| PERC_FIE |
5.158 |
1 |
.023 |
| Step 6 |
Variables |
DIST_FOR |
.025 |
1 |
.875 |
| DIST_NON |
11.554 |
1 |
.001 |
| DIST_ROA |
.096 |
1 |
.756 |
| DIST_WET |
2.245 |
1 |
.134 |
| ELEVATIO |
.011 |
1 |
.918 |
| SLOPE |
5.860 |
1 |
.015 |
| ASPECT_T |
.174 |
1 |
.677 |
| TC |
1.692 |
1 |
.193 |
| RV |
.519 |
1 |
.471 |
| RCL |
.991 |
1 |
.320 |
| PC |
.188 |
1 |
.664 |
| NV |
.122 |
1 |
.727 |
| NS |
.375 |
1 |
.540 |
| AC |
.579 |
1 |
.447 |
| NDIST |
4.398 |
1 |
.036 |
| NNONF |
.097 |
1 |
.755 |
| NWET |
1.278 |
1 |
.258 |
| PERC_FOR |
4.600 |
1 |
.032 |
| PERC_FIE |
7.351 |
1 |
.007 |
| Step 7 |
Variables |
DIST_FOR |
.006 |
1 |
.939 |
| DIST_ROA |
.086 |
1 |
.769 |
| DIST_WET |
2.723 |
1 |
.099 |
| ELEVATIO |
.984 |
1 |
.321 |
| SLOPE |
3.639 |
1 |
.056 |
| ASPECT_T |
.343 |
1 |
.558 |
| TC |
2.810 |
1 |
.094 |
| RV |
.000 |
1 |
.991 |
| RCL |
1.280 |
1 |
.258 |
| PC |
.260 |
1 |
.610 |
| NV |
.221 |
1 |
.638 |
| NS |
.043 |
1 |
.837 |
| AC |
.596 |
1 |
.440 |
| NDIST |
2.353 |
1 |
.125 |
| NNONF |
.858 |
1 |
.354 |
| NWET |
.108 |
1 |
.742 |
| PERC_FOR |
4.671 |
1 |
.031 |
| PERC_FIE |
4.451 |
1 |
.035 |
| Step 8 |
Variables |
DIST_FOR |
2.163 |
1 |
.141 |
| DIST_ROA |
.178 |
1 |
.673 |
| DIST_WET |
1.389 |
1 |
.239 |
| ELEVATIO |
2.241 |
1 |
.134 |
| SLOPE |
3.149 |
1 |
.076 |
| ASPECT_T |
.665 |
1 |
.415 |
| TC |
2.015 |
1 |
.156 |
| RV |
.222 |
1 |
.637 |
| RCL |
3.006 |
1 |
.083 |
| PC |
.699 |
1 |
.403 |
| NV |
.668 |
1 |
.414 |
| NS |
.000 |
1 |
.992 |
| AC |
.560 |
1 |
.454 |
| NDIST |
1.091 |
1 |
.296 |
| NNONF |
3.559 |
1 |
.059 |
| NWET |
.286 |
1 |
.593 |
| PERC_FIE |
2.233 |
1 |
.135 |
| a Residual Chi-Squares are not computed because of redundancies.
|
Step number: 1
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó0 ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó00 1 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 2
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó00 ó
ó0000 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 3
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó0 ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó0000 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 4
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó0 ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó000 1 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 5
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó0 ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó000 0 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 6
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó0 ó
F ó0 ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó000 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 7
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó0 ó
F ó0 ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó00 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 8
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó0 ó
F ó0 ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó00 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Casewise List(b)
|
Selected Status(a) |
Observed |
Predicted |
Predicted Group |
Temporary Variable |
| Case |
STATUS_N |
Resid |
ZResid |
| 240 |
S |
0** |
.872 |
1 |
-.872 |
-2.610 |
| 908 |
S |
1** |
.069 |
0 |
.931 |
3.669 |
| 917 |
S |
1** |
.084 |
0 |
.916 |
3.297 |
| 920 |
S |
1** |
.114 |
0 |
.886 |
2.783 |
| 923 |
S |
1** |
.047 |
0 |
.953 |
4.492 |
| 931 |
S |
1** |
.060 |
0 |
.940 |
3.974 |
| 933 |
S |
1** |
.011 |
0 |
.989 |
9.533 |
| 934 |
S |
1** |
.001 |
0 |
.999 |
28.553 |
| a S = Selected, U = Unselected cases, and ** = Misclassified cases. |
| b Cases with studentized residuals greater than 2.000 are listed.
|
Logistic Regression
Notes
| Output Created |
27-MAR-2003 15:55:11 |
| Comments |
|
| Input |
Data |
D:\Raw Data\Sternotherus odoratus\DFA_LR_data.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
945 |
| Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing |
| Syntax |
LOGISTIC REGRESSION VAR=status_n /METHOD=FSTEP(LR) dist_for dist_non dist_roa dist_wet elevatio slope aspect_t ndist nfor nnonf nwet perc_for perc_fie perc_wet /SAVE PRED PGROUP /CLASSPLOT /CASEWISE OUTLIER(2) /PRINT=GOODFIT /CRITERIA PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
|
| Variables Created or Modified |
PRE_2 |
Predicted probability |
| PGR_2 |
Predicted group |
| Resources |
Elapsed Time |
0:00:01.81 |
Case Processing Summary
| Unweighted Cases(a) |
N |
Percent |
| Selected Cases |
Included in Analysis |
945 |
100.0 |
| Missing Cases |
0 |
.0 |
| Total |
945 |
100.0 |
| Unselected Cases |
0 |
.0 |
| Total |
945 |
100.0 |
| a If weight is in effect, see classification table for the total number of cases.
|
Dependent Variable Encoding
| Original Value |
Internal Value |
| 0 |
0 |
| 1 |
1 |
Block 0: Beginning Block
Classification Table(a,b)
|
Predicted |
| STATUS_N |
Percentage Correct |
| Observed |
0 |
1 |
| Step 0 |
STATUS_N |
0 |
899 |
0 |
100.0 |
| 1 |
46 |
0 |
.0 |
| Overall Percentage |
|
|
95.1 |
| 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 |
-2.973 |
.151 |
386.697 |
1 |
.000 |
.051 |
Variables not in the Equation(a)
|
Score |
df |
Sig. |
| Step 0 |
Variables |
DIST_FOR |
14.247 |
1 |
.000 |
| DIST_NON |
.289 |
1 |
.591 |
| DIST_ROA |
.004 |
1 |
.949 |
| DIST_WET |
43.216 |
1 |
.000 |
| ELEVATIO |
10.838 |
1 |
.001 |
| SLOPE |
.009 |
1 |
.924 |
| ASPECT_T |
.367 |
1 |
.545 |
| NDIST |
.046 |
1 |
.830 |
| NFOR |
72.992 |
1 |
.000 |
| NNONF |
7.245 |
1 |
.007 |
| NWET |
98.599 |
1 |
.000 |
| PERC_FOR |
27.641 |
1 |
.000 |
| PERC_FIE |
3.037 |
1 |
.081 |
| PERC_WET |
108.563 |
1 |
.000 |
| 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 |
85.075 |
1 |
.000 |
| Block |
85.075 |
1 |
.000 |
| Model |
85.075 |
1 |
.000 |
| Step 2 |
Step |
18.577 |
1 |
.000 |
| Block |
103.652 |
2 |
.000 |
| Model |
103.652 |
2 |
.000 |
| Step 3 |
Step |
6.072 |
1 |
.014 |
| Block |
109.724 |
3 |
.000 |
| Model |
109.724 |
3 |
.000 |
| Step 4 |
Step |
7.389 |
1 |
.007 |
| Block |
117.114 |
4 |
.000 |
| Model |
117.114 |
4 |
.000 |
| Step 5 |
Step |
7.533 |
1 |
.006 |
| Block |
124.647 |
5 |
.000 |
| Model |
124.647 |
5 |
.000 |
| Step 6 |
Step |
5.836 |
1 |
.016 |
| Block |
130.483 |
6 |
.000 |
| Model |
130.483 |
6 |
.000 |
| Step 7 |
Step |
4.226 |
1 |
.040 |
| Block |
134.709 |
7 |
.000 |
| Model |
134.709 |
7 |
.000 |
Model Summary
| Step |
-2 Log likelihood |
Cox & Snell R Square |
Nagelkerke R Square |
| 1 |
282.723 |
.086 |
.267 |
| 2 |
264.145 |
.104 |
.322 |
| 3 |
258.073 |
.110 |
.340 |
| 4 |
250.684 |
.117 |
.362 |
| 5 |
243.150 |
.124 |
.383 |
| 6 |
237.315 |
.129 |
.400 |
| 7 |
233.089 |
.133 |
.412 |
Hosmer and Lemeshow Test
| Step |
Chi-square |
df |
Sig. |
| 1 |
13.380 |
2 |
.001 |
| 2 |
16.731 |
7 |
.019 |
| 3 |
15.464 |
8 |
.051 |
| 4 |
8.936 |
8 |
.348 |
| 5 |
4.329 |
8 |
.826 |
| 6 |
3.127 |
8 |
.926 |
| 7 |
9.135 |
8 |
.331 |
Contingency Table for Hosmer and Lemeshow Test
|
STATUS_N = 0 |
STATUS_N = 1 |
Total |
| Observed |
Expected |
Observed |
Expected |
| Step 1 |
1 |
613 |
607.893 |
1 |
6.107 |
614 |
| 2 |
89 |
92.874 |
6 |
2.126 |
95 |
| 3 |
84 |
87.396 |
11 |
7.604 |
95 |
| 4 |
113 |
110.837 |
28 |
30.163 |
141 |
| Step 2 |
1 |
207 |
206.043 |
0 |
.957 |
207 |
| 2 |
91 |
90.549 |
0 |
.451 |
91 |
| 3 |
95 |
94.414 |
0 |
.586 |
95 |
| 4 |
95 |
94.190 |
0 |
.810 |
95 |
| 5 |
94 |
92.800 |
0 |
1.200 |
94 |
| 6 |
93 |
91.774 |
1 |
2.226 |
94 |
| 7 |
87 |
90.492 |
8 |
4.508 |
95 |
| 8 |
76 |
84.086 |
19 |
10.914 |
95 |
| 9 |
61 |
54.650 |
18 |
24.350 |
79 |
| Step 3 |
1 |
99 |
98.766 |
0 |
.234 |
99 |
| 2 |
95 |
94.640 |
0 |
.360 |
95 |
| 3 |
95 |
94.556 |
0 |
.444 |
95 |
| 4 |
96 |
95.462 |
0 |
.538 |
96 |
| 5 |
95 |
94.318 |
0 |
.682 |
95 |
| 6 |
97 |
95.926 |
0 |
1.074 |
97 |
| 7 |
93 |
92.882 |
2 |
2.118 |
95 |
| 8 |
86 |
90.491 |
9 |
4.509 |
95 |
| 9 |
78 |
84.366 |
17 |
10.634 |
95 |
| 10 |
65 |
57.590 |
18 |
25.410 |
83 |
| Step 4 |
1 |
92 |
91.853 |
0 |
.147 |
92 |
| 2 |
95 |
94.696 |
0 |
.304 |
95 |
| 3 |
90 |
89.616 |
0 |
.384 |
90 |
| 4 |
96 |
95.501 |
0 |
.499 |
96 |
| 5 |
95 |
94.392 |
0 |
.608 |
95 |
| 6 |
95 |
94.170 |
0 |
.830 |
95 |
| 7 |
94 |
93.473 |
1 |
1.527 |
95 |
| 8 |
87 |
91.218 |
8 |
3.782 |
95 |
| 9 |
84 |
86.176 |
11 |
8.824 |
95 |
| 10 |
71 |
67.900 |
26 |
29.100 |
97 |
| Step 5 |
1 |
95 |
94.994 |
0 |
.006 |
95 |
| 2 |
95 |
94.971 |
0 |
.029 |
95 |
| 3 |
95 |
94.919 |
0 |
.081 |
95 |
| 4 |
95 |
94.823 |
0 |
.177 |
95 |
| 5 |
95 |
94.651 |
0 |
.349 |
95 |
| 6 |
94 |
94.285 |
1 |
.715 |
95 |
| 7 |
95 |
93.241 |
0 |
1.759 |
95 |
| 8 |
88 |
90.490 |
7 |
4.510 |
95 |
| 9 |
83 |
84.328 |
12 |
10.672 |
95 |
| 10 |
64 |
62.297 |
26 |
27.703 |
90 |
| Step 6 |
1 |
95 |
94.994 |
0 |
.006 |
95 |
| 2 |
95 |
94.970 |
0 |
.030 |
95 |
| 3 |
95 |
94.913 |
0 |
.087 |
95 |
| 4 |
96 |
95.828 |
0 |
.172 |
96 |
| 5 |
95 |
94.645 |
0 |
.355 |
95 |
| 6 |
95 |
94.257 |
0 |
.743 |
95 |
| 7 |
93 |
93.329 |
2 |
1.671 |
95 |
| 8 |
90 |
90.981 |
5 |
4.019 |
95 |
| 9 |
82 |
84.970 |
13 |
10.030 |
95 |
| 10 |
63 |
60.113 |
26 |
28.887 |
89 |
| Step 7 |
1 |
95 |
94.998 |
0 |
.002 |
95 |
| 2 |
97 |
96.985 |
0 |
.015 |
97 |
| 3 |
95 |
94.949 |
0 |
.051 |
95 |
| 4 |
96 |
95.879 |
0 |
.121 |
96 |
| 5 |
95 |
94.749 |
0 |
.251 |
95 |
| 6 |
93 |
93.419 |
1 |
.581 |
94 |
| 7 |
96 |
94.448 |
0 |
1.552 |
96 |
| 8 |
90 |
90.873 |
5 |
4.127 |
95 |
| 9 |
77 |
83.793 |
18 |
11.207 |
95 |
| 10 |
65 |
58.906 |
22 |
28.094 |
87 |
Classification Table(a)
|
Predicted |
| STATUS_N |
Percentage Correct |
| Observed |
0 |
1 |
| Step 1 |
STATUS_N |
0 |
899 |
0 |
100.0 |
| 1 |
46 |
0 |
.0 |
| Overall Percentage |
|
|
95.1 |
| Step 2 |
STATUS_N |
0 |
894 |
5 |
99.4 |
| 1 |
45 |
1 |
2.2 |
| Overall Percentage |
|
|
94.7 |
| Step 3 |
STATUS_N |
0 |
897 |
2 |
99.8 |
| 1 |
40 |
6 |
13.0 |
| Overall Percentage |
|
|
95.6 |
| Step 4 |
STATUS_N |
0 |
895 |
4 |
99.6 |
| 1 |
41 |
5 |
10.9 |
| Overall Percentage |
|
|
95.2 |
| Step 5 |
STATUS_N |
0 |
896 |
3 |
99.7 |
| 1 |
43 |
3 |
6.5 |
| Overall Percentage |
|
|
95.1 |
| Step 6 |
STATUS_N |
0 |
896 |
3 |
99.7 |
| 1 |
39 |
7 |
15.2 |
| Overall Percentage |
|
|
95.6 |
| Step 7 |
STATUS_N |
0 |
897 |
2 |
99.8 |
| 1 |
41 |
5 |
10.9 |
| Overall Percentage |
|
|
95.4 |
| a The cut value is .500
|
Variables in the Equation
|
B |
S.E. |
Wald |
df |
Sig. |
Exp(B) |
| Step 1(a) |
PERC_WET |
4.006 |
.496 |
65.336 |
1 |
.000 |
54.946 |
| Constant |
-4.601 |
.346 |
176.291 |
1 |
.000 |
.010 |
| Step 2(b) |
NFOR |
-2.946 |
.690 |
18.212 |
1 |
.000 |
.053 |
| PERC_WET |
3.040 |
.521 |
34.067 |
1 |
.000 |
20.900 |
| Constant |
-2.426 |
.547 |
19.684 |
1 |
.000 |
.088 |
| Step 3(c) |
ELEVATIO |
.031 |
.013 |
5.615 |
1 |
.018 |
1.031 |
| NFOR |
-2.947 |
.681 |
18.727 |
1 |
.000 |
.052 |
| PERC_WET |
3.949 |
.653 |
36.578 |
1 |
.000 |
51.872 |
| Constant |
-4.394 |
.998 |
19.387 |
1 |
.000 |
.012 |
| Step 4(d) |
ELEVATIO |
.047 |
.015 |
10.161 |
1 |
.001 |
1.048 |
| NDIST |
-4.896 |
1.984 |
6.091 |
1 |
.014 |
.007 |
| NFOR |
-4.216 |
.824 |
26.159 |
1 |
.000 |
.015 |
| PERC_WET |
3.811 |
.657 |
33.656 |
1 |
.000 |
45.203 |
| Constant |
-4.157 |
1.006 |
17.069 |
1 |
.000 |
.016 |
| Step 5(e) |
DIST_WET |
-.009 |
.004 |
4.378 |
1 |
.036 |
.991 |
| ELEVATIO |
.046 |
.015 |
9.830 |
1 |
.002 |
1.047 |
| NDIST |
-4.237 |
1.920 |
4.870 |
1 |
.027 |
.014 |
| NFOR |
-3.701 |
.864 |
18.347 |
1 |
.000 |
.025 |
| PERC_WET |
2.526 |
.792 |
10.181 |
1 |
.001 |
12.509 |
| Constant |
-3.245 |
1.047 |
9.612 |
1 |
.002 |
.039 |
| Step 6(f) |
DIST_WET |
-.009 |
.004 |
4.399 |
1 |
.036 |
.991 |
| ELEVATIO |
.054 |
.016 |
11.841 |
1 |
.001 |
1.055 |
| NDIST |
-4.043 |
2.008 |
4.054 |
1 |
.044 |
.018 |
| NFOR |
-4.366 |
.934 |
21.851 |
1 |
.000 |
.013 |
| PERC_FIE |
-5.500 |
2.856 |
3.710 |
1 |
.054 |
.004 |
| PERC_WET |
2.143 |
.790 |
7.370 |
1 |
.007 |
8.528 |
| Constant |
-2.918 |
1.049 |
7.733 |
1 |
.005 |
.054 |
| Step 7(g) |
DIST_WET |
-.011 |
.004 |
6.243 |
1 |
.012 |
.989 |
| ELEVATIO |
.048 |
.016 |
9.313 |
1 |
.002 |
1.049 |
| NDIST |
-4.898 |
2.213 |
4.900 |
1 |
.027 |
.007 |
| NFOR |
-3.497 |
1.000 |
12.228 |
1 |
.000 |
.030 |
| NNONF |
4.941 |
2.425 |
4.152 |
1 |
.042 |
139.916 |
| PERC_FIE |
-7.474 |
3.276 |
5.205 |
1 |
.023 |
.001 |
| PERC_WET |
2.256 |
.796 |
8.043 |
1 |
.005 |
9.547 |
| Constant |
-3.227 |
1.065 |
9.186 |
1 |
.002 |
.040 |
| a Variable(s) entered on step 1: PERC_WET. |
| b Variable(s) entered on step 2: NFOR. |
| c Variable(s) entered on step 3: ELEVATIO. |
| d Variable(s) entered on step 4: NDIST. |
| e Variable(s) entered on step 5: DIST_WET. |
| f Variable(s) entered on step 6: PERC_FIE. |
| g Variable(s) entered on step 7: NNONF.
|
Model if Term Removed
| Variable |
Model Log Likelihood |
Change in -2 Log Likelihood |
df |
Sig. of the Change |
| Step 1 |
PERC_WET |
-183.899 |
85.075 |
1 |
.000 |
| Step 2 |
NFOR |
-141.361 |
18.577 |
1 |
.000 |
| PERC_WET |
-153.049 |
41.953 |
1 |
.000 |
| Step 3 |
ELEVATIO |
-132.073 |
6.072 |
1 |
.014 |
| NFOR |
-138.768 |
19.464 |
1 |
.000 |
| PERC_WET |
-150.986 |
43.898 |
1 |
.000 |
| Step 4 |
ELEVATIO |
-131.036 |
11.389 |
1 |
.001 |
| NDIST |
-129.037 |
7.389 |
1 |
.007 |
| NFOR |
-138.693 |
26.702 |
1 |
.000 |
| PERC_WET |
-145.407 |
40.131 |
1 |
.000 |
| Step 5 |
DIST_WET |
-125.342 |
7.533 |
1 |
.006 |
| ELEVATIO |
-127.141 |
11.132 |
1 |
.001 |
| NDIST |
-124.457 |
5.765 |
1 |
.016 |
| NFOR |
-131.118 |
19.086 |
1 |
.000 |
| PERC_WET |
-127.132 |
11.114 |
1 |
.001 |
| Step 6 |
DIST_WET |
-122.425 |
7.535 |
1 |
.006 |
| ELEVATIO |
-125.610 |
13.904 |
1 |
.000 |
| NDIST |
-120.949 |
4.583 |
1 |
.032 |
| NFOR |
-130.374 |
23.433 |
1 |
.000 |
| PERC_FIE |
-121.575 |
5.836 |
1 |
.016 |
| PERC_WET |
-122.672 |
8.030 |
1 |
.005 |
| Step 7 |
DIST_WET |
-121.683 |
10.278 |
1 |
.001 |
| ELEVATIO |
-121.850 |
10.612 |
1 |
.001 |
| NDIST |
-119.476 |
5.864 |
1 |
.015 |
| NFOR |
-123.001 |
12.913 |
1 |
.000 |
| NNONF |
-118.657 |
4.226 |
1 |
.040 |
| PERC_FIE |
-120.961 |
8.834 |
1 |
.003 |
| PERC_WET |
-120.954 |
8.819 |
1 |
.003 |
Variables not in the Equation(a)
|
Score |
df |
Sig. |
| Step 1 |
Variables |
DIST_FOR |
.672 |
1 |
.412 |
| DIST_NON |
.387 |
1 |
.534 |
| DIST_ROA |
.001 |
1 |
.978 |
| DIST_WET |
8.472 |
1 |
.004 |
| ELEVATIO |
4.876 |
1 |
.027 |
| SLOPE |
.000 |
1 |
.982 |
| ASPECT_T |
.740 |
1 |
.390 |
| NDIST |
1.247 |
1 |
.264 |
| NFOR |
19.412 |
1 |
.000 |
| NNONF |
15.529 |
1 |
.000 |
| NWET |
6.803 |
1 |
.009 |
| PERC_FOR |
.162 |
1 |
.687 |
| PERC_FIE |
.186 |
1 |
.666 |
| Step 2 |
Variables |
DIST_FOR |
.426 |
1 |
.514 |
| DIST_NON |
.055 |
1 |
.815 |
| DIST_ROA |
.059 |
1 |
.808 |
| DIST_WET |
5.285 |
1 |
.022 |
| ELEVATIO |
5.736 |
1 |
.017 |
| SLOPE |
.554 |
1 |
.457 |
| ASPECT_T |
.866 |
1 |
.352 |
| NDIST |
1.941 |
1 |
.164 |
| NNONF |
1.158 |
1 |
.282 |
| NWET |
.119 |
1 |
.730 |
| PERC_FOR |
2.717 |
1 |
.099 |
| PERC_FIE |
2.984 |
1 |
.084 |
| Overall Statistics |
26.829 |
12 |
.008 |
| Step 3 |
Variables |
DIST_FOR |
1.123 |
1 |
.289 |
| DIST_NON |
1.200 |
1 |
.273 |
| DIST_ROA |
.268 |
1 |
.604 |
| DIST_WET |
5.636 |
1 |
.018 |
| SLOPE |
1.628 |
1 |
.202 |
| ASPECT_T |
.575 |
1 |
.448 |
| NDIST |
6.610 |
1 |
.010 |
| NNONF |
.072 |
1 |
.788 |
| NWET |
4.433 |
1 |
.035 |
| PERC_FOR |
5.079 |
1 |
.024 |
| PERC_FIE |
4.390 |
1 |
.036 |
| Overall Statistics |
21.393 |
11 |
.030 |
| Step 4 |
Variables |
DIST_FOR |
.240 |
1 |
.625 |
| DIST_NON |
.472 |
1 |
.492 |
| DIST_ROA |
.033 |
1 |
.856 |
| DIST_WET |
4.798 |
1 |
.028 |
| SLOPE |
2.460 |
1 |
.117 |
| ASPECT_T |
.347 |
1 |
.556 |
| NNONF |
.185 |
1 |
.667 |
| NWET |
.079 |
1 |
.779 |
| PERC_FOR |
3.534 |
1 |
.060 |
| PERC_FIE |
3.944 |
1 |
.047 |
| Overall Statistics |
14.467 |
10 |
.153 |
| Step 5 |
Variables |
DIST_FOR |
.071 |
1 |
.790 |
| DIST_NON |
.807 |
1 |
.369 |
| DIST_ROA |
.038 |
1 |
.845 |
| SLOPE |
1.705 |
1 |
.192 |
| ASPECT_T |
.334 |
1 |
.563 |
| NNONF |
1.248 |
1 |
.264 |
| NWET |
.082 |
1 |
.775 |
| PERC_FOR |
2.040 |
1 |
.153 |
| PERC_FIE |
4.002 |
1 |
.045 |
| Overall Statistics |
11.759 |
9 |
.227 |
| Step 6 |
Variables |
DIST_FOR |
.107 |
1 |
.744 |
| DIST_NON |
.072 |
1 |
.789 |
| DIST_ROA |
.001 |
1 |
.973 |
| SLOPE |
1.483 |
1 |
.223 |
| ASPECT_T |
.333 |
1 |
.564 |
| NNONF |
4.225 |
1 |
.040 |
| NWET |
.872 |
1 |
.350 |
| PERC_FOR |
.680 |
1 |
.410 |
| Overall Statistics |
8.606 |
8 |
.377 |
| Step 7 |
Variables |
DIST_FOR |
.125 |
1 |
.724 |
| DIST_NON |
.151 |
1 |
.697 |
| DIST_ROA |
.007 |
1 |
.931 |
| SLOPE |
1.385 |
1 |
.239 |
| ASPECT_T |
.196 |
1 |
.658 |
| NWET |
1.020 |
1 |
.312 |
| PERC_FOR |
1.351 |
1 |
.245 |
| Overall Statistics |
4.281 |
7 |
.747 |
| a Residual Chi-Squares are not computed because of redundancies.
|
Step number: 1
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó0 ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó00 1 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 2
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó00 ó
ó0000 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 3
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó00 ó
ó0000 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 4
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó00001 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 5
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó0000 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 6
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó00 ó
ó0000 0 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Step number: 7
Observed Groups and Predicted Probabilities
800 ô ô
ó ó
ó ó
F ó ó
R 600 ô0 ô
E ó0 ó
Q ó0 ó
U ó0 ó
E 400 ô0 ô
N ó0 ó
C ó0 ó
Y ó0 ó
200 ô0 ô
ó0 ó
ó0 ó
ó0001 ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
Prob: 0 .25 .5 .75 1
Group: 000000000000000000000000000000111111111111111111111111111111
Predicted Probability is of Membership for 1
The Cut Value is .50
Symbols: 0 - 0
1 - 1
Each Symbol Represents 50 Cases.
Casewise List(b)
|
Selected Status(a) |
Observed |
Predicted |
Predicted Group |
Temporary Variable |
| Case |
STATUS_N |
Resid |
ZResid |
| 900 |
S |
1** |
.123 |
0 |
.877 |
2.674 |
| 902 |
S |
1** |
.101 |
0 |
.899 |
2.977 |
| 903 |
S |
1** |
.139 |
0 |
.861 |
2.492 |
| 904 |
S |
1** |
.116 |
0 |
.884 |
2.762 |
| 905 |
S |
1** |
.067 |
0 |
.933 |
3.746 |
| 908 |
S |
1** |
.130 |
0 |
.870 |
2.588 |
| 914 |
S |
1** |
.078 |
0 |
.922 |
3.444 |
| 917 |
S |
1** |
.037 |
0 |
.963 |
5.066 |
| 922 |
S |
1** |
.134 |
0 |
.866 |
2.546 |
| 923 |
S |
1** |
.138 |
0 |
.862 |
2.494 |
| 924 |
S |
1** |
.080 |
0 |
.920 |
3.388 |
| 925 |
S |
1** |
.133 |
0 |
.867 |
2.554 |
| 933 |
S |
1** |
.058 |
0 |
.942 |
4.047 |
| 934 |
S |
1** |
.049 |
0 |
.951 |
4.424 |
| 938 |
S |
1** |
.006 |
0 |
.994 |
12.507 |
| 940 |
S |
1** |
.079 |
0 |
.921 |
3.426 |
| 941 |
S |
1** |
.051 |
0 |
.949 |
4.302 |
| 944 |
S |
1** |
.112 |
0 |
.888 |
2.821 |
| a S = Selected, U = Unselected cases, and ** = Misclassified cases. |
| b Cases with studentized residuals greater than 2.000 are listed.
|
Discriminant
Notes
| Output Created |
27-MAR-2003 15:56:17 |
| Comments |
|
| Input |
Data |
D:\Raw Data\Sternotherus odoratus\DFA_LR_data.sav |
| Filter |
<none> |
| Weight |
<none> |
| Split File |
<none> |
| N of Rows in Working Data File |
945 |
| 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_for dist_non dist_roa dist_wet elevatio slope aspect_t tc rv rcl rca pc nv ns hc bf am ac ndist nfor nnonf nwet perc_for perc_fie perc_wet /ANALYSIS ALL /SAVE=CLASS SCORES PROBS /METHOD=WILKS /PIN= .05 /POUT= .10 /PRIORS EQUAL /HISTORY /STATISTICS=MEAN STDDEV UNIVF BOXM TABLE CROSSVALID /PLOT=CASES /CLASSIFY=NONMISSING POOLED .
|
| Variables Created or Modified |
DIS_1 |
Predicted Group for Analysis 1 |
| 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 |
945 |
| Resources |
Elapsed Time |
0:00:00.55 |
Analysis Case Processing Summary
| Unweighted Cases |
N |
Percent |
| Valid |
945 |
100.0 |
| Excluded |
Missing or out-of-range group codes |
0 |
.0 |
| At least one missing discriminating variable |
0 |
.0 |
| Both missing or out-of-range group codes and at least one missing discriminating variable |
0 |
.0 |
| Total |
0 |
.0 |
| Total |
945 |
100.0 |
Group Statistics
|
Mean |
Std. Deviation |
Valid N (listwise) |
| STATUS_N |
Unweighted |
Weighted |
| 0 |
DIST_FOR |
27.265851 |
37.0530749 |
899 |
899.000 |
| Dist_NonF |
369.899889 |
319.6863806 |
899 |
899.000 |
| Dist_Road |
71.381535 |
110.6902223 |
899 |
899.000 |
| DIST_WET |
220.539488 |
200.5698434 |
899 |
899.000 |
| Elevation |
54.493882 |
14.4804882 |
899 |
899.000 |
| SLOPE |
3.660679 |
2.3347966 |
899 |
899.000 |
| Aspect_Transf |
.043759 |
.6506168 |
899 |
899.000 |
| TC |
1011.045606 |
715.3570301 |
899 |
899.000 |
| RV |
1609.588432 |
1272.9099730 |
899 |
899.000 |
| RCL |
451.469410 |
437.7303045 |
899 |
899.000 |
| RCA |
833.133482 |
687.9134052 |
899 |
899.000 |
| PC |
1013.382647 |
801.9960458 |
899 |
899.000 |
| NV |
500.373749 |
444.0191543 |
899 |
899.000 |
| NS |
1770.468298 |
1360.3998396 |
899 |
899.000 |
| HC |
371.510567 |
370.3221866 |
899 |
899.000 |
| BF |
975.189099 |
722.4055643 |
899 |
899.000 |
| AM |
389.727475 |
486.7967685 |
899 |
899.000 |
| AC |
530.510567 |
514.9789221 |
899 |
899.000 |
| NDIST |
.051846 |
.1106417 |
899 |
899.000 |
| NFOR |
.771168 |
.2476870 |
899 |
899.000 |
| NNONF |
.030044 |
.0835168 |
899 |
899.000 |
| NWET |
.106696 |
.1806357 |
899 |
899.000 |
| % Forest |
.546252 |
.3888472 |
899 |
899.000 |
| % Field |
.062407 |
.1733033 |
899 |
899.000 |
| % Wetland |
.167977 |
.2948883 |
899 |
899.000 |
| 1 |
DIST_FOR |
48.760870 |
44.2338155 |
46 |
46.000 |
| Dist_NonF |
396.021739 |
356.2132625 |
46 |
46.000 |
| Dist_Road |
72.434783 |
75.5612047 |
46 |
46.000 |
| DIST_WET |
21.282609 |
53.7569274 |
46 |
46.000 |
| Elevation |
47.347826 |
9.8075195 |
46 |
46.000 |
| SLOPE |
3.627391 |
2.1475262 |
46 |
46.000 |
| Aspect_Transf |
.103418 |
.6839122 |
46 |
46.000 |
| TC |
1276.173913 |
872.2159341 |
46 |
46.000 |
| RV |
921.891304 |
1167.4170392 |
46 |
46.000 |
| RCL |
317.347826 |
440.1137841 |
46 |
46.000 |
| RCA |
312.782609 |
433.5904321 |
46 |
46.000 |
| PC |
1193.782609 |
1080.8415428 |
46 |
46.000 |
| NV |
558.304348 |
584.1008615 |
46 |
46.000 |
| NS |
1239.782609 |
1393.5701858 |
46 |
46.000 |
| HC |
404.739130 |
392.3003631 |
46 |
46.000 |
| BF |
590.543478 |
544.4068212 |
46 |
46.000 |
| AM |
754.108696 |
862.5059930 |
46 |
46.000 |
| AC |
232.282609 |
450.9548222 |
46 |
46.000 |
| NDIST |
.055435 |
.1076560 |
46 |
46.000 |
| NFOR |
.439348 |
.2343350 |
46 |
46.000 |
| NNONF |
.066087 |
.1559555 |
46 |
46.000 |
| NWET |
.395870 |
.2166162 |
46 |
46.000 |
| % Forest |
.237951 |
.2243349 |
46 |
46.000 |
| % Field |
.017699 |
.0596408 |
46 |
46.000 |
| % Wetland |
.657025 |
.2379699 |
46 |
46.000 |
| Total |
DIST_FOR |
28.312169 |
37.6924287 |
945 |
945.000 |
| Dist_NonF |
371.171429 |
321.4026137 |
945 |
945.000 |
| Dist_Road |
71.432804 |
109.2131138 |
945 |
945.000 |
| DIST_WET |
210.840212 |
200.6147091 |
945 |
945.000 |
| Elevation |
54.146032 |
14.3673007 |
945 |
945.000 |
| SLOPE |
3.659058 |
2.3249812 |
945 |
945.000 |
| Aspect_Transf |
.046663 |
.6520253 |
945 |
945.000 |
| TC |
1023.951323 |
725.4812486 |
945 |
945.000 |
| RV |
1576.113228 |
1276.0230753 |
945 |
945.000 |
| RCL |
444.940741 |
438.5641111 |
945 |
945.000 |
| RCA |
807.804233 |
686.7888115 |
945 |
945.000 |
| PC |
1022.164021 |
817.9562465 |
945 |
945.000 |
| NV |
503.193651 |
451.6249892 |
945 |
945.000 |
| NS |
1744.635979 |
1366.0663281 |
945 |
945.000 |
| HC |
373.128042 |
371.2727073 |
945 |
945.000 |
| BF |
956.465608 |
719.3236592 |
945 |
945.000 |
| AM |
407.464550 |
516.7599690 |
945 |
945.000 |
| AC |
515.993651 |
515.8461988 |
945 |
945.000 |
| NDIST |
.052021 |
.1104452 |
945 |
945.000 |
| NFOR |
.755016 |
.2570626 |
945 |
945.000 |
| NNONF |
.031799 |
.0886274 |
945 |
945.000 |
| NWET |
.120772 |
.1927498 |
945 |
945.000 |
| % Forest |
.531245 |
.3881230 |
945 |
945.000 |
| % Field |
.060231 |
.1698020 |
945 |
945.000 |
| % Wetland |
.191783 |
.3106578 |
945 |
945.000 |
Tests of Equality of Group Means
|
Wilks' Lambda |
F |
df1 |
df2 |
Sig. |
| DIST_FOR |
.985 |
14.434 |
1 |
943 |
.000 |
| Dist_NonF |
1.000 |
.289 |
1 |
943 |
.591 |
| Dist_Road |
1.000 |
.004 |
1 |
943 |
.949 |
| DIST_WET |
.954 |
45.191 |
1 |
943 |
.000 |
| Elevation |
.989 |
10.940 |
1 |
943 |
.001 |
| SLOPE |
1.000 |
.009 |
1 |
943 |
.925 |
| Aspect_Transf |
1.000 |
.366 |
1 |
943 |
.545 |
| TC |
.994 |
5.875 |
1 |
943 |
.016 |
| RV |
.987 |
12.870 |
1 |
943 |
.000 |
| RCL |
.996 |
4.106 |
1 |
943 |
.043 |
| RCA |
.973 |
25.780 |
1 |
943 |
.000 |
| PC |
.998 |
2.131 |
1 |
943 |
.145 |
| NV |
.999 |
.720 |
1 |
943 |
.396 |
| NS |
.993 |
6.644 |
1 |
943 |
.010 |
| HC |
1.000 |
.350 |
1 |
943 |
.554 |
| BF |
.987 |
12.668 |
1 |
943 |
.000 |
| AM |
.977 |
22.248 |
1 |
943 |
.000 |
| AC |
.985 |
14.841 |
1 |
943 |
.000 |
| NDIST |
1.000 |
.046 |
1 |
943 |
.830 |
| NFOR |
.923 |
78.934 |
1 |
943 |
.000 |
| NNONF |
.992 |
7.286 |
1 |
943 |
.007 |
| NWET |
.896 |
109.852 |
1 |
943 |
.000 |
| % Forest |
.971 |
28.414 |
1 |
943 |
.000 |
| % Field |
.997 |
3.040 |
1 |
943 |
.082 |
| % Wetland |
.885 |
122.395 |
1 |
943 |
.000 |
Analysis 1
Box's Test of Equality of Covariance Matrices
Log Determinants
| STATUS_N |
Rank |
Log Determinant |
| 0 |
10 |
56.169 |
| 1 |
10 |
49.921 |
| Pooled within-groups |
10 |
56.205 |
| The ranks and natural logarithms of determinants printed are those of the group covariance matrices.
|
Test Results
| Box's M |
314.649 |
| F |
Approx. |
5.263 |
| df1 |
55 |
| df2 |
19537.836 |
| Sig. |
.000 |
| Tests null hypothesis of equal population covariance matrices.
|
Stepwise Statistics
Variables Entered/Removed(a,b,c,d)
|
Entered |
Wilks' Lambda |
| Statistic |
df1 |
df2 |
df3 |
Exact F |
| Step |
Statistic |
df1 |
df2 |
Sig. |
| 1 |
% Wetland |
.885 |
1 |
1 |
943.000 |
122.395 |
1 |
943.000 |
.000 |
| 2 |
NFOR |
.865 |
2 |
1 |
943.000 |
73.208 |
2 |
942.000 |
.000 |
| 3 |
RCA |
.854 |
3 |
1 |
943.000 |
53.581 |
3 |
941.000 |
.000 |
| 4 |
AM |
.843 |
4 |
1 |
943.000 |
43.795 |
4 |
940.000 |
.000 |
| 5 |
% Field |
.834 |
5 |
1 |
943.000 |
37.407 |
5 |
939.000 |
.000 |
| 6 |
BF |
.829 |
6 |
1 |
943.000 |
32.341 |
6 |
938.000 |
.000 |
| 7 |
NDIST |
.823 |
7 |
1 |
943.000 |
28.726 |
7 |
937.000 |
.000 |
| 8 |
TC |
.817 |
8 |
1 |
943.000 |
26.174 |
8 |
936.000 |
.000 |
| 9 |
Elevation |
.813 |
9 |
1 |
943.000 |
23.863 |
9 |
935.000 |
.000 |
| 10 |
RV |
.809 |
10 |
1 |
943.000 |
22.000 |
10 |
934.000 |
.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 |
% Wetland |
1.000 |
.000 |
|
| 2 |
% Wetland |
.844 |
.000 |
.923 |
| NFOR |
.844 |
.000 |
.885 |
| 3 |
% Wetland |
.843 |
.000 |
.908 |
| NFOR |
.836 |
.000 |
.870 |
| RCA |
.985 |
.000 |
.865 |
| 4 |
% Wetland |
.835 |
.000 |
.890 |
| NFOR |
.836 |
.000 |
.858 |
| RCA |
.980 |
.000 |
.856 |
| AM |
.983 |
.000 |
.854 |
| 5 |
% Wetland |
.745 |
.000 |
.862 |
| NFOR |
.665 |
.000 |
.857 |
| RCA |
.972 |
.000 |
.848 |
| AM |
.979 |
.000 |
.846 |
| % Field |
.767 |
.001 |
.843 |
| 6 |
% Wetland |
.741 |
.000 |
.858 |
| NFOR |
.660 |
.000 |
.850 |
| RCA |
.921 |
.001 |
.838 |
| AM |
.975 |
.000 |
.842 |
| % Field |
.767 |
.002 |
.837 |
| BF |
.932 |
.014 |
.834 |
| 7 |
% Wetland |
.672 |
.000 |
.843 |
| NFOR |
.478 |
.000 |
.850 |
| RCA |
.918 |
.001 |
.834 |
| AM |
.974 |
.000 |
.837 |
| % Field |
.748 |
.008 |
.830 |
| BF |
.931 |
.012 |
.829 |
| NDIST |
.600 |
.014 |
.829 |
| 8 |
% Wetland |
.671 |
.000 |
.837 |
| NFOR |
.478 |
.000 |
.843 |
| RCA |
.913 |
.000 |
.829 |
| AM |
.974 |
.000 |
.831 |
| % Field |
.738 |
.021 |
.822 |
| BF |
.931 |
.011 |
.823 |
| NDIST |
.584 |
.004 |
.824 |
| TC |
.951 |
.008 |
.823 |
| 9 |
% Wetland |
.595 |
.000 |
.837 |
| NFOR |
.464 |
.000 |
.841 |
| RCA |
.879 |
.002 |
.822 |
| AM |
.969 |
.000 |
.828 |
| % Field |
.728 |
.011 |
.819 |
| BF |
.930 |
.014 |
.818 |
| NDIST |
.543 |
.001 |
.823 |
| TC |
.950 |
.007 |
.820 |
| Elevation |
.668 |
.033 |
.817 |
| 10 |
% Wetland |
.595 |
.000 |
.834 |
| NFOR |
.409 |
.000 |
.841 |
| RCA |
.680 |
.000 |
.822 |
| AM |
.964 |
.000 |
.823 |
| % Field |
.723 |
.007 |
.816 |
| BF |
.929 |
.013 |
.815 |
| NDIST |
.534 |
.000 |
.820 |
| TC |
.949 |
.006 |
.816 |
| Elevation |
.627 |
.010 |
.815 |
| RV |
.595 |
.035 |
.813 |
Variables Not in the Analysis
| Step |
Tolerance |
Min. Tolerance |
Sig. of F to Enter |
Wilks' Lambda |
| 0 |
DIST_FOR |
1.000 |
1.000 |
.000 |
.985 |
| Dist_NonF |
1.000 |
1.000 |
.591 |
1.000 |
| Dist_Road |
1.000 |
1.000 |
.949 |
1.000 |
| DIST_WET |
1.000 |
1.000 |
.000 |
.954 |
| Elevation |
1.000 |
1.000 |
.001 |
.989 |
| SLOPE |
1.000 |
1.000 |
.925 |
1.000 |
| Aspect_Transf |
1.000 |
1.000 |
.545 |
1.000 |
| TC |
1.000 |
1.000 |
.016 |
.994 |
| RV |
1.000 |
1.000 |
.000 |
.987 |
| RCL |
1.000 |
1.000 |
.043 |
.996 |
| RCA |
1.000 |
1.000 |
.000 |
.973 |
| PC |
1.000 |
1.000 |
.145 |
.998 |
| NV |
1.000 |
1.000 |
.396 |
.999 |
| NS |
1.000 |
1.000 |
.010 |
.993 |
| HC |
1.000 |
1.000 |
.554 |
1.000 |
| BF |
1.000 |
1.000 |
.000 |
.987 |
| AM |
1.000 |
1.000 |
.000 |
.977 |
| AC |
1.000 |
1.000 |
.000 |
.985 |
| NDIST |
1.000 |
1.000 |
.830 |
1.000 |
| NFOR |
1.000 |
1.000 |
.000 |
.923 |
| NNONF |
1.000 |
1.000 |
.007 |
.992 |
| NWET |
1.000 |
1.000 |
.000 |
.896 |
| % Forest |
1.000 |
1.000 |
.000 |
.971 |
| % Field |
1.000 |
1.000 |
.082 |
.997 |
| % Wetland |
1.000 |
1.000 |
.000 |
.885 |
| 1 |
DIST_FOR |
.936 |
.936 |
.332 |
.884 |
| Dist_NonF |
.995 |
.995 |
.845 |
.885 |
| Dist_Road |
1.000 |
1.000 |
.837 |
.885 |
| DIST_WET |
.706 |
.706 |
.420 |
.885 |
| Elevation |
.786 |
.786 |
.055 |
.882 |
| SLOPE |
1.000 |
1.000 |
.797 |
.885 |
| Aspect_Transf |
.989 |
.989 |
.583 |
.885 |
| TC |
.999 |
.999 |
.008 |
.878 |
| RV |
.985 |
.985 |
.036 |
.881 |
| RCL |
.944 |
.944 |
.562 |
.885 |
| RCA |
.994 |
.994 |
.000 |
.870 |
| PC |
1.000 |
1.000 |
.111 |
.883 |
| NV |
.994 |
.994 |
.110 |
.883 |
| NS |
.993 |
.993 |
.122 |
.883 |
| HC |
1.000 |
1.000 |
.508 |
.885 |
| BF |
.999 |
.999 |
.000 |
.873 |
| AM |
.989 |
.989 |
.001 |
.875 |
| AC |
.947 |
.947 |
.211 |
.884 |
| NDIST |
.996 |
.996 |
.372 |
.884 |
| NFOR |
.844 |
.844 |
.000 |
.865 |
| NNONF |
.989 |
.989 |
.000 |
.873 |
| NWET |
.594 |
.594 |
.000 |
.869 |
| % Forest |
.748 |
.748 |
.810 |
.885 |
| % Field |
.983 |
.983 |
.776 |
.885 |
| 2 |
DIST_FOR |
.873 |
.788 |
.817 |
.865 |
| Dist_NonF |
.911 |
.772 |
.233 |
.864 |
| Dist_Road |
.984 |
.831 |
.434 |
.865 |
| DIST_WET |
.650 |
.650 |
.616 |
.865 |
| Elevation |
.782 |
.671 |
.113 |
.863 |
| SLOPE |
.967 |
.817 |
.564 |
.865 |
| Aspect_Transf |
.988 |
.837 |
.525 |
.865 |
| TC |
.991 |
.838 |
.024 |
.861 |
| RV |
.878 |
.753 |
.544 |
.865 |
| RCL |
.944 |
.803 |
.583 |
.865 |
| RCA |
.985 |
.836 |
.000 |
.854 |
| PC |
.989 |
.836 |
.262 |
.864 |
| NV |
.992 |
.838 |
.170 |
.864 |
| NS |
.912 |
.776 |
.815 |
.865 |
| HC |
.999 |
.844 |
.586 |
.865 |
| BF |
.989 |
.836 |
.002 |
.857 |
| AM |
.989 |
.836 |
.001 |
.856 |
| AC |
.932 |
.821 |
.505 |
.865 |
| NDIST |
.621 |
.526 |
.015 |
.860 |
| NNONF |
.621 |
.530 |
.318 |
.865 |
| NWET |
.424 |
.424 |
.045 |
.862 |
| % Forest |
.701 |
.701 |
.151 |
.864 |
| % Field |
.777 |
.667 |
.008 |
.859 |
| 3 |
DIST_FOR |
.873 |
.780 |
.848 |
.854 |
| Dist_NonF |
.892 |
.770 |
.089 |
.851 |
| Dist_Road |
.968 |
.826 |
.219 |
.853 |
| DIST_WET |
.634 |
.634 |
.282 |
.853 |
| Elevation |
.739 |
.659 |
.440 |
.854 |
| SLOPE |
.963 |
.811 |
.417 |
.854 |
| Aspect_Transf |
.988 |
.836 |
.507 |
.854 |
| TC |
.986 |
.829 |
.013 |
.848 |
| RV |
.645 |
.645 |
.159 |
.852 |
| RCL |
.878 |
.802 |
.127 |
.852 |
| PC |
.986 |
.829 |
.368 |
.853 |
| NV |
.834 |
.828 |
.003 |
.846 |
| NS |
.710 |
.710 |
.108 |
.852 |
| HC |
.972 |
.835 |
.256 |
.853 |
| BF |
.936 |
.831 |
.019 |
.849 |
| AM |
.983 |
.835 |
.000 |
.843 |
| AC |
.879 |
.820 |
.857 |
.854 |
| NDIST |
.617 |
.526 |
.007 |
.848 |
| NNONF |
.620 |
.524 |
.252 |
.853 |
| NWET |
.418 |
.418 |
.014 |
.849 |
| % Forest |
.700 |
.700 |
.132 |
.852 |
| % Field |
.771 |
.666 |
.003 |
.846 |
| 4 |
DIST_FOR |
.873 |
.780 |
.823 |
.843 |
| Dist_NonF |
.892 |
.770 |
.087 |
.840 |
| Dist_Road |
.902 |
.824 |
.757 |
.843 |
| DIST_WET |
.633 |
.633 |
.314 |
.842 |
| Elevation |
.737 |
.656 |
.348 |
.842 |
| SLOPE |
.963 |
.811 |
.446 |
.842 |
| Aspect_Transf |
.980 |
.827 |
.736 |
.843 |
| TC |
.986 |
.829 |
.012 |
.837 |
| RV |
.639 |
.639 |
.282 |
.842 |
| RCL |
.863 |
.789 |
.290 |
.842 |
| PC |
.933 |
.829 |
.931 |
.843 |
| NV |
.738 |
.738 |
.055 |
.840 |
| NS |
.705 |
.705 |
.193 |
.841 |
| HC |
.934 |
.834 |
.655 |
.843 |
| BF |
.933 |
.831 |
.011 |
.837 |
| AC |
.867 |
.809 |
.825 |
.843 |
| NDIST |
.616 |
.526 |
.004 |
.836 |
| NNONF |
.619 |
.524 |
.318 |
.842 |
| NWET |
.418 |
.418 |
.014 |
.838 |
| % Forest |
.699 |
.699 |
.103 |
.841 |
| % Field |
.767 |
.665 |
.001 |
.834 |
| 5 |
DIST_FOR |
.828 |
.653 |
.608 |
.834 |
| Dist_NonF |
.816 |
.653 |
.416 |
.833 |
| Dist_Road |
.898 |
.661 |
.925 |
.834 |
| DIST_WET |
.626 |
.610 |
.174 |
.832 |
| Elevation |
.720 |
.620 |
.150 |
.832 |
| SLOPE |
.947 |
.659 |
.726 |
.834 |
| Aspect_Transf |
.976 |
.664 |
.589 |
.834 |
| TC |
.978 |
.655 |
.027 |
.830 |
| RV |
.636 |
.595 |
.199 |
.832 |
| RCL |
.861 |
.665 |
.233 |
.833 |
| PC |
.920 |
.665 |
.648 |
.834 |
| NV |
.738 |
.661 |
.053 |
.831 |
| NS |
.705 |
.623 |
.184 |
.832 |
| HC |
.930 |
.665 |
.507 |
.834 |
| BF |
.932 |
.660 |
.014 |
.829 |
| AC |
.866 |
.657 |
.921 |
.834 |
| NDIST |
.601 |
.479 |
.018 |
.829 |
| NNONF |
.566 |
.497 |
.046 |
.830 |
| NWET |
.393 |
.393 |
.083 |
.831 |
| % Forest |
.624 |
.569 |
.536 |
.834 |
| 6 |
DIST_FOR |
.826 |
.647 |
.547 |
.828 |
| Dist_NonF |
.814 |
.649 |
.354 |
.828 |
| Dist_Road |
.896 |
.657 |
.841 |
.829 |
| DIST_WET |
.604 |
.604 |
.065 |
.826 |
| Elevation |
.719 |
.618 |
.181 |
.827 |
| SLOPE |
.943 |
.655 |
.615 |
.828 |
| Aspect_Transf |
.971 |
.659 |
.707 |
.828 |
| TC |
.978 |
.650 |
.027 |
.824 |
| RV |
.636 |
.592 |
.183 |
.827 |
| RCL |
.858 |
.660 |
.186 |
.827 |
| PC |
.920 |
.660 |
.681 |
.828 |
| NV |
.737 |
.657 |
.065 |
.826 |
| NS |
.702 |
.620 |
.137 |
.827 |
| HC |
.883 |
.660 |
.214 |
.827 |
| AC |
.866 |
.652 |
.874 |
.829 |
| NDIST |
.600 |
.478 |
.014 |
.823 |
| NNONF |
.566 |
.494 |
.046 |
.825 |
| NWET |
.393 |
.393 |
.067 |
.826 |
| % Forest |
.624 |
.566 |
.496 |
.828 |
| 7 |
DIST_FOR |
.823 |
.474 |
.442 |
.823 |
| Dist_NonF |
.805 |
.476 |
.500 |
.823 |
| Dist_Road |
.889 |
.478 |
.990 |
.823 |
| DIST_WET |
.599 |
.440 |
.040 |
.820 |
| Elevation |
.669 |
.464 |
.041 |
.820 |
| SLOPE |
.940 |
.477 |
.714 |
.823 |
| Aspect_Transf |
.971 |
.477 |
.690 |
.823 |
| TC |
.951 |
.478 |
.008 |
.817 |
| RV |
.634 |
.433 |
.140 |
.821 |
| RCL |
.843 |
.476 |
.097 |
.821 |
| PC |
.896 |
.476 |
.414 |
.823 |
| NV |
.737 |
.476 |
.067 |
.820 |
| NS |
.698 |
.463 |
.195 |
.822 |
| HC |
.883 |
.478 |
.219 |
.822 |
| AC |
.866 |
.473 |
.864 |
.823 |
| NNONF |
.564 |
.374 |
.065 |
.820 |
| NWET |
.231 |
.191 |
.729 |
.823 |
| % Forest |
.618 |
.478 |
.652 |
.823 |
| 8 |
DIST_FOR |
.816 |
.474 |
.319 |
.816 |
| Dist_NonF |
.805 |
.476 |
.502 |
.817 |
| Dist_Road |
.882 |
.477 |
.803 |
.817 |
| DIST_WET |
.599 |
.440 |
.047 |
.814 |
| Elevation |
.668 |
.464 |
.033 |
.813 |
| SLOPE |
.939 |
.476 |
.650 |
.817 |
| Aspect_Transf |
.971 |
.476 |
.693 |
.817 |
| RV |
.634 |
.433 |
.129 |
.815 |
| RCL |
.840 |
.476 |
.137 |
.815 |
| PC |
.889 |
.476 |
.557 |
.817 |
| NV |
.728 |
.476 |
.122 |
.815 |
| NS |
.697 |
.463 |
.170 |
.816 |
| HC |
.883 |
.477 |
.205 |
.816 |
| AC |
.866 |
.473 |
.852 |
.817 |
| NNONF |
.564 |
.374 |
.069 |
.814 |
| NWET |
.230 |
.190 |
.573 |
.817 |
| % Forest |
.602 |
.477 |
.981 |
.817 |
| 9 |
DIST_FOR |
.802 |
.459 |
.473 |
.813 |
| Dist_NonF |
.800 |
.462 |
.403 |
.813 |
| Dist_Road |
.881 |
.464 |
.841 |
.813 |
| DIST_WET |
.575 |
.435 |
.113 |
.811 |
| SLOPE |
.876 |
.460 |
.298 |
.812 |
| Aspect_Transf |
.961 |
.464 |
.861 |
.813 |
| RV |
.595 |
.409 |
.035 |
.809 |
| RCL |
.834 |
.462 |
.096 |
.811 |
| PC |
.878 |
.463 |
.726 |
.813 |
| NV |
.727 |
.462 |
.143 |
.811 |
| NS |
.638 |
.441 |
.038 |
.809 |
| HC |
.882 |
.464 |
.193 |
.812 |
| AC |
.844 |
.457 |
.878 |
.813 |
| NNONF |
.549 |
.355 |
.138 |
.811 |
| NWET |
.205 |
.186 |
.179 |
.812 |
| % Forest |
.584 |
.439 |
.690 |
.813 |
| 10 |
DIST_FOR |
.794 |
.401 |
.615 |
.809 |
| Dist_NonF |
.792 |
.408 |
.537 |
.809 |
| Dist_Road |
.873 |
.408 |
.683 |
.809 |
| DIST_WET |
.550 |
.396 |
.243 |
.808 |
| SLOPE |
.876 |
.405 |
.292 |
.808 |
| Aspect_Transf |
.959 |
.408 |
.798 |
.809 |
| RCL |
.834 |
.407 |
.098 |
.807 |
| PC |
.873 |
.408 |
.845 |
.809 |
| NV |
.727 |
.406 |
.157 |
.808 |
| NS |
.325 |
.303 |
.398 |
.809 |
| HC |
.881 |
.408 |
.224 |
.808 |
| AC |
.708 |
.408 |
.452 |
.809 |
| NNONF |
.545 |
.314 |
.189 |
.808 |
| NWET |
.205 |
.175 |
.187 |
.808 |
| % Forest |
.573 |
.405 |
.486 |
.809 |
Wilks' Lambda
|
Number of Variables |
Lambda |
df1 |
df2 |
df3 |
Exact F |
| Step |
Statistic |
df1 |
df2 |
Sig. |
| 1 |
1 |
.885 |
1 |
1 |
943 |
122.395 |
1 |
943.000 |
.000 |
| 2 |
2 |
.865 |
2 |
1 |
943 |
73.208 |
2 |
942.000 |
.000 |
| 3 |
3 |
.854 |
3 |
1 |
943 |
53.581 |
3 |
941.000 |
.000 |
| 4 |
4 |
.843 |
4 |
1 |
943 |
43.795 |
4 |
940.000 |
.000 |
| 5 |
5 |
.834 |
5 |
1 |
943 |
37.407 |
5 |
939.000 |
.000 |
| 6 |
6 |
.829 |
6 |
1 |
943 |
32.341 |
6 |
938.000 |
.000 |
| 7 |
7 |
.823 |
7 |
1 |
943 |
28.726 |
7 |
937.000 |
.000 |
| 8 |
8 |
.817 |
8 |
1 |
943 |
26.174 |
8 |
936.000 |
.000 |
| 9 |
9 |
.813 |
9 |
1 |
943 |
23.863 |
9 |
935.000 |
.000 |
| 10 |
10 |
.809 |
10 |
1 |
943 |
22.000 |
10 |
934.000 |
.000 |
Summary of Canonical Discriminant Functions
Eigenvalues
| Function |
Eigenvalue |
% of Variance |
Cumulative % |
Canonical Correlation |
| 1 |
.236(a) |
100.0 |
100.0 |
.437 |
| a First 1 canonical discriminant functions were used in the analysis.
|
Wilks' Lambda
| Test of Function(s) |
Wilks' Lambda |
Chi-square |
df |
Sig. |
| 1 |
.809 |
198.398 |
10 |
.000 |
Standardized Canonical Discriminant Function Coefficients
|
Function |
| 1 |
| Elevation |
-.244 |
| TC |
-.213 |
| RV |
-.204 |
| RCA |
.338 |
| BF |
.193 |
| AM |
-.295 |
| NDIST |
.362 |
| NFOR |
.696 |
| % Field |
.237 |
| % Wetland |
-.507 |