Hello,

This isn't a specific SAS question but I thought I askit here. I am new to 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, Greg