Understanding Regression Assumptions

1st Edition

William D. Berry
eISBN-13: 9781506315829

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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 student′s and researcher′s library.


Sold By SAGE Publications
ISBNs 9780803942639, 9780803942639, 1506315828, 9781506315829
Language English
Number of Pages 104
Edition 1st