| Date: | Fri, 7 Jan 2011 16:16:56 -0800 |
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| Reply-To: | Tanmoy Mukherjee <tkmcornell@yahoo.com> |
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| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
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| From: | Tanmoy Mukherjee <tkmcornell@YAHOO.COM> |
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| Subject: | Logistic Regression Intercept Pr>Chisq |
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| Content-Type: | text/plain; charset=us-ascii |
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I am running a Binomial Logistic Regression and I am getting some weird result with regards to the Intercept values. I will appreciate if someone can shed some light on the interpretaion of the same.
Data set :
Total Number of observations 351877
Response =1 9511
Modeling probability of response=1
Using Backward selection method to compute the best model
Intercept
Wald Chi Square 0.38
Pr>ChiSquare 0.5376
Based on this does this mean that we should reject the Intercept.
I will appreciate if someone can please explain this.
Thanks and Regards,
Tanmoy
Tanmoy Kumar Mukherjee
3 Perrine Court,
East Brunswick, NJ 08816
Phone: 9173994540
Email: tkmcornell@yahoo.com
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