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Handbook of regression analysis with applications in R by Chatterjee, Samprit;Simonoff, Jeffrey S is a nonfiction available to read on EtoBox.

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Preface to the Second Edition xiii Preface to the First Edition xvii Part I The Multiple Linear Regression Model 1 Multiple Linear Regression 3 1.1 Introduction 3 1.2 Concepts and Background Material 4 1.2.1 The Linear Regression Model 4 1.2.2 Estimation Using Least Squares 5 1.2.3 Assumptions 8 1.3 Methodology 9 1.3.1 Interpreting Regression Coefficients 9 1.3.2 Measuring the Strength of the Regression Relationship 11 1.3.3 Hypothesis Tests and Confidence Intervals for _ 12 1.3.4 Fitted Values and Predictions 14 1.3.5 Checking Assumptions Using Residual Plots 15 1.4 Example -- Estimating Home Prices 16 1.5 Summary 19 2 Model Building 23 2.1 Introduction 23 2.2 Concepts and Background Material 24 2.2.1 Using Hypothesis Tests to Compare Models 24 2.2.2 Collinearity 26 2.3 Methodology 29 2.3.1 Model Selection 29 2.3.2 Example-Estimating Home Prices (continued) 31 2.4 Indicator Variables and Modeling Interactions 39 2.4.1 Example-Electronic Voting and the 2004 Presidential Election 41 2.5 Summary 46 Part II Addressing Violations of Assumptions 3 Diagnostics for Unusual Observations 53 3.1 Introduction 53 3.2 Concepts and Background Material 54 3.3 Methodology 56 3.3.1 Residuals and Ou

Who reads Handbook of regression analysis with applications in R?

Author

Chatterjee, Samprit;Simonoff, Jeffrey S

Publisher

John Wiley & Sons, Incorporated

Published

2020

Language

EN

ISBN

9781119392491

Category

nonfiction