Difference between "least square" and "generelized linear method" in the fit model
Hello Community, There is something that I have not understood between the difference of the results I get when analyzing a small dataset by using fit model with “standard least squares” and then using the Box Cox transformation menu to do a log transformation (λ = 0) versus using the same “fit model” but this time with “generalized linear model” with distribution “Normal” and link function “log...