This isn't a specific SAS question but I thought I askit here. I am
multiple regression and unfortunitly had to do a log
transformation on the dependent variable to fix normality issues. My
problem now is trying to explain the meaining of the final model/
formula with the log function. My final model has three independent
varaibles as predictors (they were centered) and conceptually I am
stuck and not able to explain my model with the log transformation.
Could anyone kind of walk through a explanation? Model for discusion
purposes: Y=10 + .005W + .07H + 1.2P.
Thank you for your assistance,