Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)
Language: English
Published by SAGE Publications, Inc, 1993
Series: Book 147 of 194 - Quantitative Applications in the Social Sciences
- Softcover
- New

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Add to basketSeller Inventory # 080394263X-11-36593795
- Title
- Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)
- Author
- Berry, William D.
- Publisher
- SAGE Publications, Inc
- Publication year
- 1993
- Condition
- New
- Binding
- paperback
- Language
- English
- ISBN 10
- 080394263X
- ISBN 13
- 9780803942639
- Item weight
- 5 ounces
- Dimensions
- 5x0x8
- Series
- Book 147 of 194: Quantitative Applications in the Social Sciences
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.
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