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Linear regression analysis : assumptions and applications
- Author / Creator
- Available as
- Physical
Details
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- Creator
- John P. Hoffmann and Kevin Shafer
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- Washington, DC : NASW Press, National Association of Social Workers, [2015]
- Physical Details
-
- xiii, 226 pages: illustration ; 23 cm
- ISBNs
- 9780871014573, 0871014572
- OCLC
- ocn899949368
- Includes bibliographical references and index.
- A review of some elementary statistical concepts -- Simple linear regression -- Multiple linear regression analysis -- The ANOVA table and goodness-of-fit -- Comparing linear regression models -- Dummy variables in linear regression models -- Specification errors in linear regression models -- Measurement errors in linear regression models -- Collinearity and multicollinearity -- Nonlinear associations and interaction terms -- Heteroscedasticity and autocorrelation -- Influential observations : leverage points and outliers -- A brief introduction to logistic regression -- An introduction to multilevel models -- Conclusion