{"product_id":"understanding-regression-analysis-an-introductory-guide-9781506332888","title":"Understanding Regression Analysis: An","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003eUnderstanding Regression Analysis: An Introductory Guide\u003c\/strong\u003e 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 \u003cstrong\u003eSecond Edition\u003c\/strong\u003e features updated examples and new references to modern software output.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"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\u003cbr\u003e\"\u003cstrong\u003eUnderstanding Regression Analysis\u003c\/strong\u003e 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\u003cbr\u003e\"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\u003cbr\u003e\"The authors do a top-notch job of competently presenting a plethora of topics regarding regression analysis.\" -- Wyatt Brown\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSeries Editor’s Introduction Preface Acknowledgments About the Authors 1. 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    Summary 2. Multiple Linear Regression    Introduction    Estimating Regression Coefficients    Standardized Coefficients    Associated Statistics    Examples    Summary 3. 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    Summary 4. Extensions to the Multiple Regression Model    Introduction    Types of Data    Dummy Variables    Interaction Variables    Transformations    Prediction    Examples    Summary 5. 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    Conclusions Appendix A: Derivation of a and b Appendix B: Critical Values for Student’s t Distribution Appendix C: Regression Output From SAS, Stata, SPSS, R, and EXCEL Appendix D: Suggested Textbooks References Index","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739816571223,"sku":"9781506332888","price":39.28,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781506332888.jpg?v=1720053212","url":"https:\/\/bookcurl.com\/products\/understanding-regression-analysis-an-introductory-guide-9781506332888","provider":"Book Curl","version":"1.0","type":"link"}