xoEPC - Jan Mendling

D.3. Multivariate Logistic Regression 433
Step 1 Structuredness
a
Step 2 N
Structuredness
b
Step 3 c
Step 4 d
Step 5 e
Step 6 f
Step 7 g
Step 8 h
Step 9 h
N
Structuredness
cHeterogeneity
N
CYC
Structuredness
cHeterogeneity
N
CNC
CYC
Structuredness
cHeterogeneity
N
CNC
MM
CYC
Structuredness
cHeterogeneity
N
CNC
MM
CYC
Separability
Structuredness
cHeterogeneity
N
CNC
MM
CYC
Separability
Structuredness
cHeterogeneity
diameter
CNC
MM
CYC
Separability
Structuredness
cHeterogeneity
diameter
Variables in the Equation
a. Variable(s) entered on step 1: Structuredness.
b. Variable(s) entered on step 2: N.
c. Variable(s) entered on step 3: cHeterogeneity.
d. Variable(s) entered on step 4: CYC.
e. Variable(s) entered on step 5: CNC.
f. Variable(s) entered on step 6: MM.
g. Variable(s) entered on step 7: Separability.
h. Variable(s) entered on step 8: diameter.
B S.E. Wald df Sig. Exp(B)
-2,688 ,093 843,418 1 ,000 ,068
,084 ,005 247,455 1 ,000 1,088
-5,466 ,237 530,121 1 ,000 ,004
,053 ,006 73,718 1 ,000 1,054
-7,270 ,387 353,553 1 ,000 ,001
4,419 ,398 123,375 1 ,000 83,029
,054 ,006 73,082 1 ,000 1,056
4,392 ,831 27,915 1 ,000 80,835
-7,495 ,409 335,352 1 ,000 ,001
4,364 ,411 112,589 1 ,000 78,600
,043 ,007 40,881 1 ,000 1,044
3,404 ,712 22,878 1 ,000 30,070
3,995 ,862 21,484 1 ,000 54,342
-10,333 ,748 190,748 1 ,000 ,000
3,244 ,457 50,273 1 ,000 25,629
,039 ,007 31,900 1 ,000 1,040
3,320 ,708 22,013 1 ,000 27,654
,067 ,026 6,560 1 ,010 1,069
4,264 ,873 23,857 1 ,000 71,071
-10,217 ,744 188,622 1 ,000 ,000
2,778 ,491 32,029 1 ,000 16,084
,033 ,007 21,363 1 ,000 1,034
3,898 ,738 27,906 1 ,000 49,285
,069 ,025 7,407 1 ,006 1,072
3,825 ,890 18,466 1 ,000 45,852
-1,648 ,670 6,059 1 ,014 ,192
-9,869 ,757 169,882 1 ,000 ,000
2,723 ,490 30,895 1 ,000 15,222
,016 ,011 1,946 1 ,163 1,016
3,805 ,753 25,543 1 ,000 44,919
,081 ,026 9,670 1 ,002 1,085
3,601 ,900 16,028 1 ,000 36,642
-1,980 ,712 7,738 1 ,005 ,138
-9,893 ,760 169,376 1 ,000 ,000
2,882 ,505 32,605 1 ,000 17,849
,041 ,021 3,867 1 ,049 1,042
4,008 ,742 29,193 1 ,000 55,033
,094 ,025 14,572 1 ,000 1,098
3,409 ,891 14,648 1 ,000 30,248
-2,338 ,673 12,058 1 ,001 ,096
-9,957 ,760 171,551 1 ,000 ,000
3,003 ,501 35,988 1 ,000 20,139
,064 ,013 24,474 1 ,000 1,066
Figure D.4: Equation of multivariate logistic regression models