I've transformed a few DVs for my regression models and all is cool - the residuals now look nice and normal and homoscedastic etc (before they looked less good because the variables were quite positively skewed). But... now I'm wondering how on earth to interpret the betas.. normally for one unit increase in your IV there is an increase of X amount (beta) in the DV. But how would one interpret this when the betas are based on log and square root transformed variables?
I'm half thinking it is better to just go with the slightly biased non-transformed data. The pattern of results is quite similar, and at least then the interpretation is dead straight forward!
Any advice appreciated!