Simple and Multiple Regression Models: Assumptions, Estimation and Inference; Alternative Functional Forms; Breakdown of Classical Assumptions: Multicollinearity, Autocorrelation, Heteroscedasticity; Dummy Variables; Introduction to Time Series Models and Business Forecasting; Applications include: Business Projections, Seasonality in Business, CAPM
