Simple linear regression and relations between variables. Estimation of regression function. Least squares estimators. Normal error regression model. Maximum likelihood estimators. Inferences in regression analysis. Diagnostics for residuals. Matrix approach to simple linear regression analysis. Multiple linear regression. Polynomial regression models. Qualitative predictor variables. Building the regression model: Selection of predictor variables.