Simple linear regression: estimation and inference, prediction, residual analysis, multiple regression, estimation and statistical inference, criteria for choosing best model. The concept and applications of experimental design, single factor experiments, randomized designs, block and incomplete block designs, two factor experiments (completely randomized design,.2-way ANOVA).