Random variables revision
Inference basics revision
Joint/Bivariate distributions (marginal & conditionals, conditional expectation)
Multivariate normal distributions
Maximum likelihood
Linear regression (multiple with simple as a special case)
Least squares estimation (from ML perspective) using matrix notation
Diagnostics
Model selection
Qualitative explanatory variables
Interactions