Unlike for linear OLS regression, PSPP logistic regression does not produce a 
calculated dependent variable, which I need for my project. When I use the 
coefficients of the logistic regression to do the calculation on the same data 
in this way:


COMPUTE CalcDep = 1/(1 + 
EXP(-(-5.844816350213-3.733929982147*Party20210112Rep-3.429046437566*Party20210112Dem-3.537704000024*DemNpaLpf-3.867034376711*RepNpaLpf+0.92585743209*WhiteNotHisp-0.309549809307*Hispanic-0.242244899198*BlackNotHisp+0.699661534759*Genders
 
-0.002047977071*AgeInMonths-0.000010353254*PopulationPerSqrMileN-0.00000071631*AvgHouseValuePerPersonN+0.000001170117*AverageIncomePerPersonN))).

[cid:52ab50a1-46fe-4f4d-a281-bbba7e2cc677]


the average of the values of the calculated dependent variable (CalcDep) is 
much different than the average of the actual dependent variable 
(Depen20210209LPF), unlike in linear OLS regression where these averages or 
totals are always the same. I think that when I used logistic regression in 
SAS, it was the same way.


I have searched the internet extensively to find whether logistic calculated 
and actual dependent variables should have the same average. But despite the 
large availability of good material on logistic regression, I could not find 
anything on this subject.


Do you have an answer to this question?


And could that answer be related to why there is no feature in PSPP to show the 
calculated dependent variable in logistic regression?


This request does not require samples of data and code since the answer to it 
does not depend on them.



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