Table of Contents Introduction Major assumptions of regression Checking the assumption of linearity Checking the assumption of constant variance of residuals (Homoscedasticity) Checking the assumption of normality of residuals Checking for multicollinearity Checking the data for outliers Quickly and effortlessly checking many assumptions at once References
Introduction This tutorial will help you test major assumptions of linear regression using R. The tutorial assumes that you have some familiarity understanding and interpreting basic linear regression models already.