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Applied Regression Analysis: Doing, Interpreting and Reporting

Applied Regression Analysis: Doing, Interpreting and Reporting

Paperback

EconomicsProbability & Statistics

ISBN10: 1138335487
ISBN13: 9781138335486
Publisher: Routledge
Published: Oct 28 2019
Pages: 192
Weight: 0.45
Height: 0.50 Width: 6.10 Depth: 9.20
Language: English

This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data.

Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and mathematics to get a firm grip on regression and perform it to perfection. This non-technical point of departure is complemented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. Parts 1 and 2 of the book cover the basics, such as simple linear regression, multiple linear regression, how to interpret the output from statistics programs, significance testing and the key regression assumptions. Part 3 deals with how to practically handle violations of the classical linear regression assumptions, regression modeling for categorical y-variables and instrumental variable (IV) regression. Part 4 puts the various purposes of, or motivations for, regression into the wider context of writing a scholarly report and points to some extensions to related statistical techniques.

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