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Contents

Chapter 1	Introduction
Chapter 2	Some Basic Results in Probability and Statistics
Chapter 3	Simple Linear Regression
Chapter 4	Random Vectors and Matrix Algebra
Chapter 5	Multiple Regression
Chapter 6	Residuals, Diagnostics and Transformations
Chapter 7	Further Applications of Regression Techniques
Chapter 8	Selection of Regression Model
Chapter 9	Multicollinearity: Diagnosis and Remedies