About this product

Product Identifiers

PublisherSAGE Publications, Incorporated

ISBN-101506332889

ISBN-139781506332888

eBay Product ID (ePID)229061900

Product Key Features

Number of Pages120 Pages

Publication NameUnderstanding Regression Analysis : an Introductory Guide

LanguageEnglish

Publication Year2016

SubjectMethodology, Probability & Statistics / Regression Analysis, Research, Statistics

TypeTextbook

Subject AreaMathematics, Social Science

AuthorPaula E. Stephan, Larry D. Schroeder, David L. Sjoquist

SeriesQuantitative Applications in the Social Sciences Ser.

FormatTrade Paperback

Dimensions

Item Height0.2 in

Item Weight5.2 Oz

Item Length8.5 in

Item Width5.5 in

Additional Product Features

Edition Number2

Intended AudienceCollege Audience

LCCN2017-304640

Dewey Edition23

Reviews"This is an excellent update; a clear and accessible introduction to a complex, yet very important, statistical method: regression analysis. The book can serve as a perfect supplement or stand-alone book in introductory social statistics courses." -- Grigoris Argeros "Understanding Regression Analysis provides students at all levels a foundational understanding of multiple linear regression analysis through intuitive explanations and interdisciplinary examples aimed at elucidating concepts, approaches, and interpretations." -- Andrea Hetling "This monograph provides a clear and concise introduction to regression analysis concepts and procedures, with a problem-solving approach toward addressing common maladies of regression modeling." -- Ross E. Burkhart "The authors do a top-notch job of competently presenting a plethora of topics regarding regression analysis." -- Wyatt Brown, Understanding Regression Analysis provides students at all levels a foundational understanding of multiple linear regression analysis through intuitive explanations and interdisciplinary examples aimed at elucidating concepts, approaches, and interpretations. , The authors do a top-notch job of competently presenting a plethora of topics regarding regression analysis., This is an excellent update; a clear and accessible introduction to a complex, yet very important, statistical method: regression analysis. The book can serve as a perfect supplement or stand-alone book in introductory social statistics courses., This is an excellent update in clear and feasible introduction to a complex, yet very important, statistical method: regression analysis. The book can serve as a perfect supplement, or even as a stand-alone, book in introductory social statistics courses., This monograph provides a clear and concise introduction to regression analysis concepts and procedures, with a problem-solving approach toward addressing common maladies of regression modeling., Understanding Regression Analysisprovides students at all levels a foundational understanding of multiple linear regression analysis through intuitive explanations and interdisciplinary examples aimed at elucidating concepts, approaches, and interpretations., Understanding Regression Analysis provides students at all levels a foundational understanding of multiple linear regression analysis through intuitive explanations and interdisciplinary examples aimed at elucidating concepts, approaches, and interpretations.

Series Volume Number57

IllustratedYes

Dewey Decimal519.536

Table Of ContentSeries Editor's IntroductionPrefaceAcknowledgmentsAbout the Authors1. Linear Regression Introduction Hypothesized Relationships A Numerical Example Estimating a Linear Relationship Least Squares Regression Examples The Linear Correlation Coefficient The Coefficient of Determination Regression and Correlation Summary2. Multiple Linear Regression Introduction Estimating Regression Coefficients Standardized Coefficients Associated Statistics Examples Summary3. Hypothesis Testing Introduction Concepts Underlying Hypothesis Testing The Standard Error of the Regression Coefficient The Student's t Distribution Left-Tail Tests Two-Tail Tests Confidence Intervals F Statistic What Tests of Significance Can and Cannot Do Summary4. Extensions to the Multiple Regression Model Introduction Types of Data Dummy Variables Interaction Variables Transformations Prediction Examples Summary5. Problems and Issues Associated With Regression Introduction Specification of the Model Variables Used in Regression Equations and Measurement of Variables Violations of Assumptions Regarding Residual Errors Additional Topics ConclusionsAppendix A: Derivation of a and bAppendix B: Critical Values for Student's t DistributionAppendix C: Regression Output From SAS, Stata, SPSS, R, and EXCELAppendix D: Suggested TextbooksReferencesIndex

SynopsisUnderstanding Regression Analysis: An Introductory Guide presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are estim, Illustrates how regression coefficients are estimated, interpreted, and used in a variety of settings within the social sciences, business, law, and public policy. Packed with applied examples and using few equations, the book walks readers through elementary material using a verbal, intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. This second edition features updated examples and new references to modern software output., Presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style., Understanding Regression Analysis: An Introductory Guide presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are estimated, interpreted, and used in a variety of settings within the social sciences, business, law, and public policy. Packed with applied examples and using few equations, the book walks readers through elementary material using a verbal, intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. The Second Edition features updated examples and new references to modern software output.

LC Classification NumberHA31.3