Understanding Regression Assumptions / Edition 1

Understanding Regression Assumptions / Edition 1

by William D. Berry
     
 

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ISBN-10: 080394263X

ISBN-13: 9780803942639

Pub. Date: 02/25/1993

Publisher: SAGE Publications

Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in text books, he moves on to explore in detail the substantive meaning of

Overview

Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in text books, he moves on to explore in detail the substantive meaning of each assumption; for example, lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of auto-correlation.

Product Details

ISBN-13:
9780803942639
Publisher:
SAGE Publications
Publication date:
02/25/1993
Series:
Quantitative Applications in the Social Sciences Series, #92
Edition description:
New Edition
Pages:
104
Product dimensions:
5.50(w) x 8.50(h) x (d)

Table of Contents

Introduction
A Formal Presentation of the Regression Assumptions
A 'Weighty' Illustration
The Consequences of the Regression Assumptions Being Satisfied
The Substantive Meaning of Regression Assumptions
Conclusion

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