Regression Basics - Info and Reading Options
By Leo H. Kahane
"Regression Basics" was published by Sage Publications, Inc in March 15, 2001, it has 208 pages and the language of the book is English.
“Regression Basics” Metadata:
- Title: Regression Basics
- Author: Leo H. Kahane
- Language: English
- Number of Pages: 208
- Publisher: Sage Publications, Inc
- Publish Date: March 15, 2001
“Regression Basics” Subjects and Themes:
- Subjects: Regression analysis - Analyse de regression - Regressieanalyse - Regressionsanalyse - Mathematics
Edition Specifications:
- Format: Hardcover
- Weight: 1 pounds
- Dimensions: 8.9 x 6.2 x 0.9 inches
Edition Identifiers:
- The Open Library ID: OL8028953M - OL8500384W
- Online Computer Library Center (OCLC) ID: 45629842
- Library of Congress Control Number (LCCN): 00013066
- ISBN-13: 9780761919582
- ISBN-10: 0761919589
- All ISBNs: 0761919589 - 9780761919582
AI-generated Review of “Regression Basics”:
Snippets and Summary:
The basic goal of regression analysis is to use data to analyze relationships.
"Regression Basics" Description:
The Open Library:
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.
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