Steven Sanderson isn’t content with regressing against a single variable:
Multiple linear regression is a powerful statistical method that allows us to examine the relationship between a dependent variable and multiple independent variables.
Read on to see how you can do this in R, as well as some of the types of things you should think about along the way, including the concept of multicollinearity.