Regression Analysis for Social Sciences

Preface. Introduction. Simple Linear Regression. Multiple Linear Regression. Categorical Predictors. Outlier Analysis. Residual Analysis. Polynomial Regression. Multicollinearity. Multiple Curvilinear Regression. Interaction Terms in Regression. Robust Regression. Symmetric Regression. Variable Selection Techniques. Regression for Longitudinal Data. Piecewise Regression. Dichotomous Criterion Variables. Computational Issues. Elements of Matrix Algebra. Basics of Differentiation. Basics of Vector Differentiation. Polynomials. Data Sets. References. Index.