Hi,
I have the following code using Logistic Regression on this dependent variable 'Stay', 1 means customer did stay; 0 means customer didnot stay. And several independent variables as below:
Proc Logistic Data=Work.Data1;
Class Member Travel_Agency;
Model Stay = Length_of_Stay Booking_Lead Member Travel_Agency Member*Travel_Agency / expb;
output out=Work.Data2 p=pi_hat;
Where Arrival_Date between '01MAY2014'd and '30APR2017'd;
Run;
My question is:
After it runs, in the output table, column 'pi_hat' is a value between 0 and 1. Does it mean it is more likely to be 'Stay' or 'Not Stay'? And how could I apply the result from logistic regression into future 'Arrival_Date'? Thanks!
'pi_hat' is Proability for Stay =0.
If you want Stay =1 proability. try
Model Stay(event='1') =
Thanks Ksharp, I see.
And how could I apply it into future dates (from '01MAY2017' to '30APR2018') using 'pi_hat'?
Thank you!
I don't understand what you mean.
You mean SOCRE a new dataset ?
use SCORE statement.
model ........
score data=new_data .....
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