Why would I see a fairly significant difference in r-square (98.5% vs 85%) when I change my dependent variable from Total $'s to $'s per lb? My independent variable in both cases is weight. Each equation yields essentially the same answer in all tests of weight (within .08%). How do I know which one best represents my data? It makes a difference when talking to management if something explains all but 1.5% of the variation in price, vs 15%.