Regression Analysis

Week 1:Simple Linear Regression (Part A, B, C)
Week 2:Simple Linear Regression (Part D, E)
Week 3:Multiple Linear Regression (Part A, B, C)
Week 4:Multiple Linear Regression (Part D)
Selecting the best regression equation (Part A, B)
Week 5:Selecting the best regression equation (Part C, D)
Week 6:Multicollinearity (Part A, B, C)
Week 7:Model Adequacy Checking (Part A, B, C)
Week 8:Test for influential observations
Transformations and weighting to correct model inadequacies (Part A)
Week 9:Transformations and weighting to correct model inadequacies (Part B, C)
Week 10:Dummy variables (Part A, B, C)
Week 11:Polynomial Regression Models (Part A, B, C)
Week 12:Generalized Linear Model (Part A, B)
Non-Linear Estimation