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Understanding Regression Assumptions - Quantitative Applications in the Social Sciences William D. Berry
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Understanding Regression Assumptions - Quantitative Applications in the Social Sciences
William D. Berry
Through the use of careful explanation and examples, Berry demonstrates 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 text books, he moves on to explore in detail the substantive meaning of each assumption; for example, lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of auto-correlation.
104 pages, illustrations
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 23 de abril de 1993 |
| ISBN13 | 9780803942639 |
| Editores | SAGE Publications Inc |
| Páginas | 104 |
| Dimensiones | 140 × 216 × 6 mm · 150 g |
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