Hi Folks,
I am running a logistic model where my outcome is 0/1 and independent variables are either 0/1 or quartiles. The age variable (20 to 54) is highly collinear with education and race (VIF is 12). However, I cannot drop age and I tried recategorizing it, but the VIF was still above 10. So, I started reading that it can be taken care of by doing a ridge or lasso regression. I have searched extensively, but I did not get any information on how to implement it in logistic regression along with interpretation.
Thanks
I am sorry, I meant this:
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ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.