About this product

Product Identifiers

PublisherSAGE Publications, Incorporated

ISBN-101544339704

ISBN-139781544339702

eBay Product ID (ePID)7050409805

Product Key Features

Number of Pages280 Pages

Publication NameMultiple Regression : a Practical Introduction

LanguageEnglish

SubjectProbability & Statistics / General, Sociology / General, Statistics, Criminology

Publication Year2020

TypeTextbook

AuthorJohn M. Roberts, Aki Roberts, John M. Roberts Jr.

Subject AreaMathematics, Social Science

FormatTrade Paperback / Trade Paperback

Dimensions

Item Weight18 Oz

Item Length10 in

Item Width7 in

Additional Product Features

Intended AudienceCollege Audience

LCCN2020-948981

ReviewsThis book gives students the practical knowledge and foundation of regression analysis. It is refreshing that the book includes twochapters the extend past linear regression to other types of analysis., This book gives students the practical knowledge and foundation of regression analysis. It is refreshing that the book includes two chapters the extend past linear regression to other types of analysis. -- Margaret Ralston

Dewey Edition23

IllustratedYes

Dewey Decimal300.1519536

Table Of ContentChapter 1 IntroductionChapter 2 Fundamentals of Multiple RegressionChapter 3 Categorical Independent Variables in Multiple Regression: Dummy VariablesChapter 4 Multiple Regression with InteractionChapter 5 Logged Variables in Multiple RegressionChapter 6 Nonlinear Relationships in Multiple RegressionChapter 7 Categorical Dependent Variables: Logistic RegressionChapter 8 Count Dependent Variables: Poisson RegressionChapter 9 A Brief Tour of Some Related Methods

SynopsisMultiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Drawing on decades of teaching this material, the authors present the ideas in an approachable and nontechnical manner, with no expectation that readers have more than a standard introductory statistics course as background. The book includes many interesting example analyses and interpretations, along with exercises., Including many interesting example analyses and interpretations, along with exercises, this text offers a practical introduction to multiple regression. Each dataset used for the examples and exercises is small enough for readers to easily grasp the entire dataset and its analysis with respect to the specific statistical techniques covered. SPSS, Stata, SAS, and R code and commands for each type of analysis or recoding of variables in the book are available on an accompanying website, along with solutions to the exercises (on the instructor site)., Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Also, students preparing for more advanced courses can self-study the text to refresh and solidify their statistical background. Drawing on decades of teaching this material, the authors present the ideas in an approachable and nontechnical manner, with no expectation that readers have more than a standard introductory statistics course as background. Multiple regression asks how a dependent variable is related to, or predicted by, a set of independent variables. The book includes many interesting example analyses and interpretations, along with exercises. Each dataset used for the examples and exercises is small enough for readers to easily grasp the entire dataset and its analysis with respect to the specific statistical techniques covered. A website for the book includes SPSS, Stata, SAS, and R code and commands for each type of analysis or recoding of variables in the book. Solutions to two of the end-of-chapter exercise types are also available for students to practice. The instructor side of the site contains editable PowerPoint slides, other solutions, and a test bank.

LC Classification NumberHA31.3