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Are you talking about The Hosmer-Lemeshow Goodness-of-Fit Test?
Hi
I ran a logistic regress in SAS but did not quite understand the meaning of Residual Chi-square Test. Could anybody help I would appreciate.
Are you talking about The Hosmer-Lemeshow Goodness-of-Fit Test?
In the long run, we're all dead.
Yeah. I found yesterday that the bigger the better, as long as it =>0.05. Yes?Originally Posted by vinux
Hosmer-Lemeshow test is a (summary level) goodness of fit test. Not a residual test.
Here the assumption is the model is perfect.
So if the model is perfect then the chisquare value ( obs value - actual value =0) become zero. and P value become 1.
So higher the P value ( smaller the chisquare value) is better.
In the long run, we're all dead.
Thank you friend, it is much clearer now
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