Part 1: Introduction and statistics review

1. Subscripts and Summation Symbol
2. Fitting Lines to Data
3. Random Variables
4. Moments
5. Important Distributions
6. Samples and Estimators
7. Confidence Intervals and Hypothesis Tests

Part 2: Two-Variable Regression

8. Algebraic Properties
9. Gauss-Markov Properties
10. Normal Error Terms
11. Practical Issues

Part 3: Multiple Regression with Cross-Section Data

12. Algebraic Properties
13. Gauss-Markov Properties and Normal Error Terms.
14. More Tests and Functional Forms
15. Heteroskedasticity

Part 4: Multiple Regression with Time-Series Data

16. Regression with Strictly Exogenous Errors
17. Functional Forms, Trends, and Seasonality
18. Models of Serial Correlation
19. Testing and Correcting for Serial Correlation
20. Models of Highly Persistent Series
21. Testing for Unit Roots
22. Forecasting