Hello again. This is as much a statistics question as a how-to-use-JMP question.
I've done a Fit Model multiple linear regression on my data and found that only 2 (of possible 6) predictors matter and they interact (So 2 predictors and 1 cross of them in the model).
However, my adjusted Rsquare is only 0.72, and my residual analysis looks like this:
Any suggestions for dealing with the non-normality suggested by the quantiles plot? There are no assignable causes for the tail observations on each end to justify excluding them (they are scattered throughout the data), and the highest Cooks-d on an outlier is 0.4.