Understanding Regression Assumptions

ISBN-10: 080394263X
ISBN-13: 9780803942639
Edition: 1993
Authors: William D. Berry
List price: $19.00 Buy it from $10.76
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Description: Through the use of careful explanations and examples, Berry shows the reader 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  More...

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Book details

List price: $19.00
Copyright year: 1993
Publisher: SAGE Publications, Incorporated
Publication date: 2/25/1993
Binding: Paperback
Pages: 104
Size: 5.50" wide x 8.75" long x 0.25" tall
Weight: 0.484
Language: English

Through the use of careful explanations and examples, Berry shows the reader 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 textbooks, Berry moves on to explore in detail the "substantive" meaning of each assumption (such as lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of autocorrelation). Aimed at improving social science applications of regression, this volume is a must for every students and researchers library.

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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