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Lecture-1: General Introduction and Review on Basic Statistics
Lecture-2: Simple Linear Regression Model
Lecture-3: Interval Estimation and Hypothesis Testing
Lecture-4: Prediction, Goodness-of-Fit and Modeling Issues
Lecture-5: The Multiple Regression Model
Lecture-6: Further Inference in the Multiple Regression Model
Lecture-7: Using Indicator Variables
Lecture-8: Heteroskedasticity