Understanding Regression Assumptions / Edition 1

Understanding Regression Assumptions / Edition 1

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SAGE Publications
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Understanding Regression Assumptions / Edition 1

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

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

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