Assumptions of multiple regression: how is normality assumption different from constant variance assumption?
Why does including $x\ln(x)$ interaction term in logistic regression model helps to assess linearity assumption?
For linear regression, why do people usually standardize the X variables and log transform Y variables to make them normally distributed?
How should I check the assumption of linearity to the logit for the continuous independent variables in logistic regression analysis?
Only top scored, non community-wiki answers of a minimum length are eligible