Regression Analysis - UQU

Introduction to regression 2 Simple linear regression model(SLR) / Least-squres estimation of the prameters. / Hypothesis testing on the slope and intercept. / Interval estimation in simple linear regression. / Prediction of new observations 3 Muliple linear regression (MLR) / Estimation of the model parameters / Hypothesis testing in multiple linear regression. / Confidence interevals in multiple regression / Prediction of new observations. / Multicollinearity 4 Model adequacy checking / Introduction / Residual analysis / Detection and treatment of outliers 5 Transformation and weighting / Introduction / Variance-stabilizing transformations / Transformations to linearize the model / Analytical methods for selecting a transformation / Generalization and weighted least squares 6 Polynomial regression models / Polynomal models in two or more variables 7 Indicator variables / General concept of indicator variables 8 Muticollinearity / Introduction / Sources of multicollinearity / Effects of multicollinearity / Multicollinearity dignostics 9 Variable selection and model building