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 ...