Posted by
William Peck on
Mar 05, 2019; 8:20pm
URL: http://spssx-discussion.165.s1.nabble.com/Binomial-Logistic-Regression-tp5737514.html
I did the mechanics of Binomial Logistic Regression and got output but need assistance in understanding the results.
The study is to look at factors that most affect college graduation. So look at gender, high school rank, minorityYN, military experience YN, college placement tests (SAT Verbal, Math), Admissions Board total points, etc. It's a 10-year study with 12,000+ cases
I used this tutorial which I thought was very helpful,
https://statistics.laerd.com/spss-tutorials/binomial-logistic-regression-using-spss-statistics.php.
But I don't understand what it's telling me ... mainly, in the Classification Table it says Predicted % is 100% for Graduation.
Here's the model summary
Model Summary
Step -2 Log likelihood Cox & Snell R Square Nagelkerke R Square
1 7819.768a .029 .054
a Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Here's the Classification Table
Classification Table a
Observed Predicted
Status Percentage Correct
Graduate Separate
Step 1 Status Graduate 9251 0 100.0
Separate 1361 0 .0
Overall Percentage 87.2
a The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B) 95% C.I.for EXP(B)
Lower Upper
Step 1a
Age_Start .007 .050 .020 1 .889 1.007 .913 1.111
Gender(1) .153 .072 4.505 1 .034 1.166 1.012 1.343
Minority(1) .215 .065 10.942 1 .001 1.240 1.091 1.408
Feeder 18.904 3 .000
Feeder(1) .628 .304 4.269 1 .039 1.875 1.033 3.403
Feeder(2) .049 .338 .021 1 .884 1.050 .542 2.036
Feeder(3) .318 .303 1.106 1 .293 1.375 .760 2.488
MilSvc(1) -.264 .184 2.057 1 .152 .768 .535 1.102
HS_Rank .000 .000 .000 1 .999 1.000 .999 1.001
HighSATM .000 .001 .180 1 .671 1.000 .999 1.001
HighSATV .001 .000 2.527 1 .112 1.001 1.000 1.002
WPM .000 .000 111.097 1 .000 1.000 1.000 1.000
Constant 3.124 1.162 7.223 1 .007 22.728
a Variable(s) entered on step 1: Age_I_Day, Gender, Minority, Feeder, PriorSvc, HS_Rank, HighSATM, HighSATV, WPM.
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