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(Ebook) Applied Regression Analysis : Doing, Interpreting and Reporting by Christer Thrane ISBN 9781138335486, 9781138335479, 9780429443756, 1138335487, 1138335479, 0429443757

  • SKU: EBN-43685082
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Instant download (eBook) Applied Regression Analysis : Doing, Interpreting and Reporting after payment.
Authors:Christer Thrane
Pages:192 pages.
Year:2019
Editon:1
Publisher:Routledge
Language:english
File Size:18.81 MB
Format:pdf
ISBNS:9781138335486, 9781138335479, 9780429443756, 1138335487, 1138335479, 0429443757
Categories: Ebooks

Product desciption

(Ebook) Applied Regression Analysis : Doing, Interpreting and Reporting by Christer Thrane ISBN 9781138335486, 9781138335479, 9780429443756, 1138335487, 1138335479, 0429443757

"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 complimented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. The first two parts 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. The third part of the book deals with how to practically handle violations of the classical linear regression assumptions, regression modelling for categorical y-variables and instrumental variable (IV) regression. The fourth part of the book 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. This book is written primarily for those who need to do regression analysis in practice, and not only to understand how this method works in theory. The book's accessible approach is recommended for students from across the social sciences"--
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