Regression Analysis: A Practical Introduction

This book is a comprehensive and accessible introduction to regression analysis, suitable for students with no prior statistical background. It covers the basics of regression, including linear and multiple regression, and introduces concepts such as hypothesis testing and model selection.

Format: Hardback
Length: 392 pages
Publication date: 19 January 2023
Publisher: Taylor & Francis Ltd

Regression analysis is a powerful tool for understanding the relationship between variables and making predictions about future outcomes. This comprehensive textbook provides a solid foundation for students who want to learn regression analysis, starting from the basics and focusing less on proofs and the high-level math underlying regressions. With an engaging tone and a wealth of practical examples, the text is designed to be entirely accessible to students who don't have a stats background.

The book is divided into nine chapters, each covering a different aspect of regression analysis. The first chapter introduces the concept of regression and explains how it can be used to model relationships between variables. Subsequent chapters cover topics such as linear regression, multiple linear regression, and nonlinear regression, including techniques such as polynomial regression, logistic regression, and ridge regression.

Each chapter offers boxed examples, stories, exercises, and clear summaries, all of which are designed to support student learning. The boxed examples provide real-world examples of regression analysis, while the stories and exercises help students apply the concepts to practical situations. The clear summaries provide a quick review of the key points covered in each chapter.

An optional appendix of statistical tools provides a primer to readers who need it. The appendix covers topics such as hypothesis testing, confidence intervals, and Bayesian inference, and includes code in R and Stata, as well as data sets and exercises in Stata and CSV, to allow students to practice running their own regressions.

Author-created videos on YouTube complement the textbook and provide additional insights into the topics covered. The videos are short, engaging, and easy to follow, making it convenient for students to learn at their own pace.

PPT lecture slides and a test bank for instructors are also included, making it easy for instructors to use the textbook in their courses.

Overall, this textbook is an excellent resource for students who want to learn regression analysis. It provides a solid foundation for understanding the concepts and techniques, and is designed to be accessible to students with a variety of backgrounds. Whether you're a student in statistics, economics, or another field, this textbook will help you gain a deeper understanding of regression analysis and its applications.

Dimension: 246 x 174 (mm)
ISBN-13: 9781032257846
Edition number: 2 ed