Stock and Watson, Linear Regression with Multiple Regressors is a 36-minute instructional video analyzing the following concepts:

* Define and interpret omitted variable bias, and describe the methods for addressing this bias.

* Distinguish between single and multiple regression

* Interpret the slope coefficient in a multiple regression.

* Describe homoskedasticity and heterosckedasticityin a multiple regression.

* Describe and discuss the OLS estimator in a multiple regression.

* Calculate and interpret measures of fit in multiple regression.

* Explain the assumptions of the multiple linear regression model

* Explain the concept of imperfect and perfect multicollinearity and their implications.