I have a fairly straight-forward linear regression where the dependent variable is sales lift. The resulting confidence interval is fairly wide (and also currently crosses into negative lift which is impossible) and I'd like to tighten it up via a bayesian "credible estimate."
I have what I consider to be a reasonably solid prior for sales lift.
Can I do this in JMP? I admit I'm new to Bayesian regression, though I believe I have the basic concepts down from my research so far.
P.S. - I guess technically this is an ANOVA since my independent variables are actually all categorical (1 or 0 for test vs control market, pre vs post period, and interaction). Dependent is continuous.
