TABLE OF CONTENTS Preface xiv 1 Introduction 1 2 A Brief Introduction to R 19 3 Simple Linear Regression 65 4 Multiple Linear Regression 97 5 Regression Diagnostics: Detection of Model Violations 131 6 Qualitative Variables as Predictors 167 7 Transformation of Variables 195 8 Weighted Least Squares 223 9 The Problem of Correlated Errors 241 10 Analysis of Collinear Data 261 10.1 Introduction 261 11 Working With Collinear Data 283 12 Variable Selection Procedures 321 13 Logistic Regression 353 14 Further Topics 375 Exercises 384 References 385 Index