Statistical Procedures

Programming the statistical procedures from SAS
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Ivy
Quartz | Level 8 Ivy
Quartz | Level 8

Dear all, 

 

I am modeling a logistic regression model , with 14 explaination varibles , and 50,000 records.  

 

Model fitting result:

 

All 14 variables are significant.

 

R-Square =  0.1927

 

Hosmer and Lemeshow Goodness-of-Fit Test

Chi-Square DF Pr > ChiSq

374.8494 8 <.0001

 

We can see the model only explain 19.27%  of the data.  Is this model useful at all ?   

 

Thank you,

Ivy  

1 REPLY 1
Reeza
Super User

R squared isn't a good measure of model accuracy for LOGISTIC regression. 

There is a pseudo-R squared value and other metrics that are more important. The documentation has examples or google search for evaluating LOGISTIC regression models. 

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