Jan 15: Course Introduction and Statistics Review and Simple Regression

Jan 22: Multiple Regression and Software and Initial Model Building Lecture 1 & Lecture 2

Jan 29: Diagnostics I

Feb 5: Diagnostics II

Feb 12: Discrete Variables and Variable Transformation & Part II

Feb 19: Variable Selection and Collinearity & Part II

Feb 26: Logistic Regression

March 5: Diagnostics for Logistic Regression

March 12: Missing Values  

March 17 ~ 23 Spring Recess

April 26: Model Assessment & Validation Part II

April 2: Non-OLS Estimations

April 9: Nonlinear Modeling Part 2

April 16: Modeling Strategies and Presentation

April 23: Model Interpretation and Presentation

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