Lecture Notes A list of the notes used for the semester. Review Review – In Class Linear Regression Introduction Linear Regression – In Class Regression Estimates Least Squares Simulation Regression Inference t vs normal Data Conditions for Regression Bootstrap Multiple Regression Model Comparison Regression Categorical Pairwise Contrasts Multiple Categorical Attributes ANCOVA Non-linear Effect Sizes