R Notes 1 Correlation, Linear Regression
R Notes 2 General Linear F Test, Lack of Fit Test
R Notes 3 Regression Through the Origin, Matrix Approach to Regression
R Notes 4 Multiple Regression
R Notes 5 Multiple Regression (Cont’d)
R Notes 6 Polynomial Regression, Regression With Interactions
R Notes 7 Models With Quantitative and Qualitative Predictors
R Notes 8 Model Selection
R Notes 9 Automated Model Selection Procedures
R Notes 10 Model Diagnostics
R Notes 11 Time Series Analysis
R Notes 12 Logistic Regression, Poisson Regression
R Notes 13 Perhaps some of the following: Ridge Regression/Lasso, Scatterplot Smoothers (Lowess Curves), Regression Trees, Weighted Least Squares Regression, Artificial Neural Networks