The four most common types of linear regression are simple, multiple, and polynomial. Understanding their differences can help you determine which approach best suits your needs: Linear regression ...

A method commonly used to fit non-linear curves to data instead of straight regression lines is polynomial regression. This method uses the same principles as linear regression but models the ...

Topics include simple and multiple regression; linear models with categorical explanatory variables; model diagnostics; inference for linear models; polynomial regression; models for time dependence; ...