Topics Covered:

1. Multivariable Regression
2. Nonlinearity
3. Nonconstant Error Variance and Correlated Errors
4. Weighted Least Squares and Generalized Least Squares
5. "Robust" Standard Errors
6. Nonnormality
7. Unusual Observations (leverage points, outliers, and influence points)
8. Data Missing Completely at Random
9. Data Missing at Random (conditional on observables)
10. Simple Approaches to Bounding and Sensitivity Analysis for Nonignorable Missingness