Understanding Regression Assumptions, Issue 92

Front Cover
SAGE Publications, Feb 25, 1993 - Mathematics - 91 pages

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.

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Contents

A Formal Presentation of the Regression Assumptions
3
A Weighty Illustration
13
The Substantive Meaning of Regression Assumptions
22
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