Hi,
I want to conduct a practical logistic regression
procedure using SAS or SPSS, and I want to know first
the assumptions that my data have to verify :
Let say that I have Y=0 and 1.
And X1,X2,X3,X4 continuos variables.
1/Can I use all my variables in the method ,
X1,X2,X3,X4, without the assumptions of Gaussian
(normal) distribution?
2/ What happen if some of my explanatory variables are
correlated?
if corr(X1,X2) > 0.5, can I choose either X1 or X2 or
I can use both variables. And the model will choose
the appropriate one (the signficant one)
3/ What is the important of the Intercept.
4/In SAS what levels must I use for the method, alpha
=0,05 or 0,1 for entry and Stay options will be OK?
5/If my model is fitted, can I obtain the probability
confidence interval of the probability of event (Y=1)
of a new observation or individual.
6/ There exists any interesting graphical
presentations to show the relation between the
appropriate variables and the probability.
Thank you very much for your suggestions
Adel
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