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I am facing a simple problem and trying to find the optimum solution:
Y(cont) = x1(cat) + x2(cat) +x3(cat) + x4(cat) + x5(cont)
Where: cat = categorical and cont = continuous.My categorical variables have 100 classes.
So my Y is cont and 4/5 Xs are categorical. What is the optimum approach? ANOVA? For ANOVA I think that would be true only when ALL of my Xs were categorical. If I simply apply a linear regression, then I would have 400 dummy Xs + 1 continuous.
I tried that in SAS and it gives me some results, but I am afraid if these are biased.