Chapter 4 Multiple Regression. 4.1 Introduction.

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Presentation transcript:

Chapter 4 Multiple Regression

4.1 Introduction

4.2 A Model with Two Explanatory Variables

4.5 Partial Correlations and Multiple Correlation

4.9 Omission of Relevant Variables and Inclusion of Irrelevant Variables Until now we have assumed that the multiple regression equation we are estimating includes all the relevant explanatory variables. In practice, this is rarely the case. Sometimes some relevant variables are not included due to oversight or lack of measurements. At other times some irrelevant variables are included. What we would like to know is how our inferences change when these problems are present.

4.9 Omission of Relevant Variables and Inclusion of Irrelevant Variables