A variance stabilizing transform may be useful if Regression Model Heteroskedasticity is encountered. Variance stabilizing transforms are applied to a model's response variable (Y).
Common variance stabilizing transforms include log(Y) and sqrt(Y). Box Cox methods might be useful.
Also consider a Weighted Least Square (WLS) model.