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Crubal
Quartz | Level 8

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! 

 

3 REPLIES 3
Ksharp
Super User

'pi_hat' is Proability for Stay =0.

If you want Stay =1 proability. try

 

Model Stay(event='1') =

Crubal
Quartz | Level 8

Thanks Ksharp, I see. 

 

And how could I apply it into future dates (from '01MAY2017' to '30APR2018') using 'pi_hat'? 

 

Thank you! 

Ksharp
Super User

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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