xviii, 202 pages : illustrations ; 23 cm.
0761985336 paperback acid-free paper 9780761985334 paperback acid-free paper
Pine Forge Press series in research methods and statistics.
"Presenting topics in the form of questions and answers, this popular supplemental text offers a brief introduction on multiple regression on a conceptual level. Author Paul D. Allison answers the most essential questions (such as how to read and interpret multiple regression tables and how to critique multiple regression results) in the early chapters, and then tackles the less important ones (for instance, those arising from multicollinearity) in the later chapters."--pub. desc.
Bibliography, etc. Note
Includes bibliographical references and index.
Formatted Contents Note
What Is Multiple Regression? How Do I Interpret Multiple Regression Results? What Can Go Wrong with Multiple Regression? How Do I Run a Multiple Regression? How Does Bivariate Regression Work? What Are the Assumptions of Multiple Regression? What Can Be Done about Multicollinearity? How Can Multiple Regression Handle Nonlinear Relationships? How Is Multiple Regression Related to Other Statistical Techniques?