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Lecture Slides: Powerpoint PDF
- Derive the OLS estimator of the regression coefficients when there are two or more right-hand variables in the model
- Fit a multiple regression model using the least-squares criterion
- Identify the conditions under which a multiple regression estimate is the same as the simple regression estimate
- Interpret a multiple regression coefficient
- 20 California Schools (multiple regression)
What We Learned
- How to solve the least-squares problem to fit a multiple regression model.
- Multiple regression estimates differ from simple regression estimates if the right-hand-side variables are correlated with each other.
- How to apply the multiple regression least-squares formula using a spreadsheet.
- How to interpret a multiple regression coefficient
- R-squared increases when you add an X variable to a model