Regression Basics
Publisher: Sage Publications, Inc
Published: March 15, 2001
Language: eng
Format: Hardcover
Number of pages: 208
ISBN-13: 9780761919582
Subjects: Social research & statistics; Social theory; Statistics; Research; Psychology; Sociology; Research & Methodology; Psychology-Research & Methodology; Social Science / Research; Social Science-Statistics; Regression Analysis; Reference
First sentence: The basic goal of regression analysis is to use data to analyze relationships.
Description: Although many people have PCs with software capable of performing regression techniques, only a few know how to capitalize on the flexibility and wide application of regression analysis. This book shows readers how to get the most from regression by providing a friendly, non-technical introduction to the subject. Accessible to anyone with only an introductory statistics background, the book begins with the simplest, two-variable linear model and gradually builds towards models of more complexity, such as multivariate regression. Kahane uses three engaging examples to illustrate regression concepts. These examples show the creative way in which regression analysis can be used to determine why some professional sports players earn higher salaries than others, the factors that affect voting patterns in presidential elections, and how to determine the factors that explain differences in abortion rates. Data for these examples are provided in an Appendix so that readers can have tangible, hands-on experience in performing linear regression analysis.