Hi all, I'm wondering if it's possible to run nonlinear regression, transformed into linear space, with a dummy variable. For instance, you can run
y = A^b1 as ln y = b1*ln(a), but what if I was interested in something like ln y = b1*ln(a) + b2*D, where D is 0 or 1. Is this possible? I get the nonlinear, back-transformed equation looking like y = A^b1 * e^(b2*D). Does this last equation make sense?? I think it does, but that may be because of my last two Budweisers. Thanks a lot, Jason . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
