|Date: ||Fri, 7 Jan 2011 16:16:56 -0800|
|Reply-To: ||Tanmoy Mukherjee <email@example.com>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||Tanmoy Mukherjee <tkmcornell@YAHOO.COM>|
|Subject: ||Logistic Regression Intercept Pr>Chisq|
|Content-Type: ||text/plain; charset=us-ascii|
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
Wald Chi Square 0.38
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 Kumar Mukherjee
3 Perrine Court,
East Brunswick, NJ 08816