I'm not sure if this is the right place for this question, but it was on the comparison between different model's AIC/SBC values. I ran a linear regression and got an AIC/SBC of .743/.768. When I ran the same regression in log-linear form I ended up with an AIC/SBC of -7.559/-7.534. My textbook suggests that the smaller the value, the better the model, but it only compares positive values which seem to tend towards zero. My question is this: should I be comparing the absolute values of these (so that the closet to zero is the best) or should I be looking at a strictly greater than scheme in which the more negative, the smaller, and therefore the better? Thanks!