Course content

Simple Linear Regression: inference and interpretation of regression and correlation coefficients, model checking, Types of independent variables. Transformations of the dependent variable, Multiple Linear Regressions: inference and interpretation on regression coefficients, regression diagnostics and model selection, One and two way Analysis of Variance models: relationship to regression with dummy variables, contrasts and multiple comparisons, Analysis of Covariance models.