Multiple Regression

In this chapter, we extend simple linear regression to include more than one explanatory variable. This alters the way we interpret our estimated effects, even if the procedure still follows the ordinary least squares method. Related to this is the problem of heteroskedasticity, instrumental variables, and omitted variable bias, which is also covered.