Applied Linear Regression Models

Linear regression with one independent variable; inferences in regression analysis; diagnosis and remedial measures I; simultaneous inferences and other topics in regression analysis; matrix approach to simple linear regression anaysis; multiple regression I; multiple regression II; building the regression model I - selection of predictor variables; building the regression model II - diagnostics; building the regression model III - remedial measures and validation; qualitative predictor variables; autocorrelation in time series data; introduction to nonlinear regression; logistic regression; poisson regression and generalized linear models; normal correlation models.