Hi, i have a problem to identify the most important predictor in regression. There are three inputs that are statisticaly significant (p value = 0,000) and there is no multicolinearity. What is difference between; - F-Value - Contribution - Coef or coeded Coef Which values should be considered when assessing the most significant predictor? I mean which one should be adjusted "as a first" in order to optimize the process. Could be please give me the explanation to the attached files.