How im****tant is the homoscedasticity assumption in multiple linear
regression if the purpose of the analysis is to identify which process
factors (independent variables) have a significant relation****p with
the dependent variable? No predictions will be made and the residuals
are normally distributed. In this situation, would heteroscedasticity
invalidate interpretation of the coefficient estimates? Thanks!
