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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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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Produktdetaljer
ISBN
9780803942639
Publisert
1993-04-23
Utgiver
SAGE Publications Inc
Vekt
150 gr
Høyde
215 mm
Bredde
139 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
104
Forfatter