I'm currently conducting a spatial regression analysis. I'm trying to decide whether my response variable needs to be log transformed. I understand that regression analyses assume normality of the residuals. I also understand that the best way to calculate how close to normality the data is is by inspecting the skewness/kurtosis figures (closer to 0 the better).
The stats package I'm using (S.A.M.) gives two different figures for both skewness and kurtosis. One is for the response variable data and the other is the skewness/kurtosis of the residuals. I'm a bit confused as to which of these figures is the one I should be concentrating on, the response variable skewness or the residuals skewness?
I hope this all makes sense.
Many thanks for any help