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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Regression Basics
ISBN
9781412951265
Subject Area
Mathematics, Social Science
Publication Name
Regression Basics
Publisher
SAGE Publications, Incorporated
Item Length
9 in
Subject
Probability & Statistics / Regression Analysis, Research
Publication Year
2007
Type
Textbook
Format
Perfect
Language
English
Item Height
0.6 in
Author
Leo H. Kahane
Item Weight
12 Oz
Item Width
6 in
Number of Pages
240 Pages

About this product

Product Information

Using a friendly, nontechnical approach, the Second Edition of Regression Basics introduces readers to the fundamentals of regression. Accessible to anyone with an introductory statistics background, this book builds from a simple two-variable model to a model of greater complexity. Author Leo H. Kahane weaves four engaging examples throughout the text to illustrate not only the techniques of regression but also how this empirical tool can be applied in creative ways to consider a broad array of topics. New to the Second Edition * Offers greater coverage of simple panel-data estimation: Because the availability of panel data has increased over the past decade, this new edition includes coverage of estimation with multiple cross-sections of data across time. * Provides an introductory discussion of omitted variables bias: As a problem that frequently arises, this issue is important for those new to regression analysis to understand. * Includes up-to-date advances: Chapter 7 is expanded to include recent developments in regression. * Uses a diverse selection of examples: Engaging examples illustrate the wide application of regression analysis from baseball salaries to presidential voting to British crime rates to U.S. abortion rates and more. * Includes more end-of-chapter problems: This edition offers new questions at the end of chapters that are based on the new examples woven through the book. * Illustrates examples using software programs: Appendix B now includes screenshots to further aid readers working with Microsoft Excel® and SPSS. Intended Audience This is an ideal core or supplemental text for advanced undergraduate and graduate courses such as Regression and Correlation, Sociological Research Methods, Quantitative Research Methods, and Statistical Methods in the fields of economics, public policy, political science, sociology, public affairs, urban planning, education, and geography.

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
1412951267
ISBN-13
9781412951265
eBay Product ID (ePID)
62984074

Product Key Features

Number of Pages
240 Pages
Language
English
Publication Name
Regression Basics
Publication Year
2007
Subject
Probability & Statistics / Regression Analysis, Research
Type
Textbook
Subject Area
Mathematics, Social Science
Author
Leo H. Kahane
Format
Perfect

Dimensions

Item Height
0.6 in
Item Weight
12 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
2007-020636
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.5/36
Lc Classification Number
Qa278.2.K34 2008
Table of Content
Preface1. An Introduction to the Linear Regression Model2. The Least-Squares Estimation Method: Fitting Lines to Data3. Model Performance And Evaluation4. Multiple Regression Analysis5. Non-Linear and Logarithmic Models, Dummy and Interaction6. Time Variables and Panel Data: A Simple Introduction7. Some Common Problems In Regression Analysis8. Where To Go From HereAppendix A: Data Sets Used In ExamplesAppendix B: Instructions for Using Excel and SPSSAppendix C: t TableAppendix D: Answers To ProblemsGlossaryReferences
Copyright Date
2008

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