SPSS output
SPSS Output 1: Male linear selection gradients (from multiple linear regression)
SPSS Output 2: Female linear selection gradients (from multiple linear regression)
Multiple Logistic Regression for Males
Total number of cases: 87 (Unweighted)
Number of selected cases: 87
Number of unselected cases: 0
Number of selected cases: 87
Number rejected because of missing data: 0
Number of cases included in the analysis: 87
Dependent Variable Encoding:
Original Internal
Value Value
.00 0
1.71 1
_
Dependent Variable.. RELFITN relative fitness
Beginning Block Number 0. Initial Log Likelihood Function
-2 Log Likelihood 118.00843
* Constant is included in the model.
Beginning Block Number 1. Method: Enter
Variable(s) Entered on Step Number
1.. LNLEN
LNEXT
LNCBRTWT
LNHEAD
LNHUMER
LNFEMUR
LNTIBIO
LNSKULL
LNSTERN
Estimation terminated at iteration number 5 because
Log Likelihood decreased by less than .01 percent.
-2 Log Likelihood 65.432
Goodness of Fit 64.669
Cox & Snell - R^2 .454
Nagelkerke - R^2 .611
Chi-Square df Significance
Model 52.577 9 .0000
Block 52.577 9 .0000
Step 52.577 9 .0000
Classification Table for RELFITN
The Cut Value is .50
Predicted
.00 1.71 Percent Correct
1 I 2
Observed +-------+-------+
.00 1 I 26 I 10 I 72.22%
+-------+-------+
1.71 2 I 8 I 43 I 84.31%
+-------+-------+
Overall 79.31%
_
---------------------- Variables in the Equation -----------------------
Variable B S.E. Wald df Sig R Exp(B)
LNLEN -121.508 31.4040 14.9707 1 .0001 -.3315 .0000
LNEXT 23.9620 31.7505 .5696 1 .4504 .0000 2.550E+10
LNCBRTWT -67.4379 25.9017 6.7788 1 .0092 -.2012 .0000
LNHEAD 17.4697 19.1313 .8338 1 .3612 .0000 38635082
LNHUMER 23.3579 24.7035 .8940 1 .3444 .0000 1.394E+10
LNFEMUR 18.5441 25.7978 .5167 1 .4722 .0000 113131248
LNTIBIO -3.1706 16.4708 .0371 1 .8474 .0000 .0420
LNSKULL 18.0801 16.4901 1.2021 1 .2729 .0000 71134077
LNSTERN 19.8307 10.4105 3.6285 1 .0568 .1175 409611415
Constant 524.5375 203.9017 6.6178 1 .0101
1 new variables have been created.
Name Contents
PRE_1 Predicted Value
Multiple Logistic regression for females_
Total number of cases: 49 (Unweighted)
Number of selected cases: 49
Number of unselected cases: 0
Number of selected cases: 49
Number rejected because of missing data: 0
Number of cases included in the analysis: 49
Dependent Variable Encoding:
Original Internal
Value Value
.00 0
2.33 1
_
Dependent Variable.. RELFITN relative fitness
Beginning Block Number 0. Initial Log Likelihood Function
-2 Log Likelihood 66.924994
* Constant is included in the model.
Beginning Block Number 1. Method: Enter
Variable(s) Entered on Step Number
1.. LNLEN
LNEXT
LNCBRTWT
LNHEAD
LNHUMER
LNFEMUR
LNTIBIO
LNSKULL
LNSTERN
Estimation terminated at iteration number 4 because
Log Likelihood decreased by less than .01 percent.
-2 Log Likelihood 55.485
Goodness of Fit 47.268
Cox & Snell - R^2 .208
Nagelkerke - R^2 .280
Chi-Square df Significance
Model 11.440 9 .2467
Block 11.440 9 .2467
Step 11.440 9 .2467
Classification Table for RELFITN
The Cut Value is .50
Predicted
.00 2.33 Percent Correct
1 I 2
Observed +-------+-------+
.00 1 I 21 I 7 I 75.00%
+-------+-------+
2.33 2 I 7 I 14 I 66.67%
+-------+-------+
Overall 71.43%
_
---------------------- Variables in the Equation -----------------------
Variable B S.E. Wald df Sig R Exp(B)
LNLEN -20.4115 24.9469 .6694 1 .4132 .0000 .0000
LNEXT -19.0459 29.7772 .4091 1 .5224 .0000 .0000
LNCBRTWT -62.6328 29.5997 4.4774 1 .0343 -.1924 .0000
LNHEAD 7.2090 27.6665 .0679 1 .7944 .0000 1351.5478
LNHUMER 24.2841 24.1747 1.0091 1 .3151 .0000 3.519E+10
LNFEMUR -11.5560 21.3205 .2938 1 .5878 .0000 .0000
LNTIBIO 26.1397 20.1948 1.6754 1 .1955 .0000 2.251E+11
LNSKULL -1.7833 19.1566 .0087 1 .9258 .0000 .1681
LNSTERN 8.6216 10.8693 .6292 1 .4277 .0000 5550.3983
Constant 251.0660 168.0229 2.2327 1 .1351
1 new variables have been created.
Name Contents
PRE_2 Predicted Value