[ManUtd]

Hi Professor Yaser/Everyone-

A question about looking at regression from a stats vs data mining angle.

Stats - checks for correlated variables, normality of residuals/variables (non-linear transformations probably take care of this), homoscedasticity etc.

Data Mining - as you had mentioned, we want to keep it general.

Does that mean -
a) we don't care about these assumptions or we do care, but they come into play later on.
b) we are at a higher risk for getting misleading results.

It would be nice to have your thoughts on this.

Thanks,
Kartik