Jan 14: Course Introduction and Statistics Review and Simple Regression

Jan 21: Multiple Regression and Software and Initial Model Building

Jan 28: Diagnostics I

Feb 4: Diagnostics II

Feb 11: Discrete Variables and Variable Transformation & Part II

Feb 18: Variable Selection and Collinearity & Part II

Feb 25: Logistic Regression

March 3: Diagnostics for Logistic Regression

March 10: Missing Values  

March 15 ~ 21 Spring Recess

March 24: Model Assessment & Validation

March 31: Non-OLS Estimations

April 7: Nonlinear Modeling Part 2

April 14: Modeling Strategies and Presentation

April 21: Model Interpretation and Presentation

BACK