Multiple regression methods generally depend on the following four assumptions: the residuals of the model are nearly normal, the variability of the residuals is nearly constant, the residuals are in...Multiple regression methods generally depend on the following four assumptions: the residuals of the model are nearly normal, the variability of the residuals is nearly constant, the residuals are independent, and each variable is linearly related to the outcome.
