I'm testing a couple of hypotheses and I have a non normally distributed continuous response variable (residuals are not normally distributed as well).
I have been given mixed suggestion on what model to use. Some say to use a Linear model regardless of the distribution, whereas others say that a Gamma model with a log link is a better fit.
I have 4 independent variables, 3 continuous and 1 nominal.
Should I go for a Gamma model? I haven't seen many papers using the gamma model so I am wondering whether it has some significant benefits over the simple linear models.
here are the scatterplots of the residuals: