Normality tests for SAS

linear models are known to be robust to non-normality of the response

Phdscientist: Your data is not normally distributed. I would take one of two approaches. First, you could try to transform your data sets to get a normal distribution. This is pretty easy in SAS, and works a fair amount of the time. The second is to run a different test that does not require normality. I assume from the last post you want to run a regression. From the SAS website:

Might be a start!
I highly prefer the 2nd alternative; transformations never felt right to me, at least for most cases, if nothing else they make interpretation more difficult, and always seemed kind of cheap