Structure of the GLM; decomposition of variance into explained (model/groups) and unexplained (error/residual) parts; correlation; simple linear regression with categorical (one-way ANOVA) and continuous predictors; hypothesis testing - sampling distributions, p-values, test statistics; confidence intervals; ANCOVA and multiple regression; model assumptions and regression diagnostics.