In linear regression analysis, we analyze outliers, investigate multicollinearity, test heteroscedasticty.
The question is: Is there any order to apply these? I mean, do we have to analyze outliers very firstly, and then examine multicollinearity? Or reverse?
Is there any rule of thumb about this?