Kabale University Library Catalogue
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Regression Analysis : a practical introduction / Jeremy Arkes.

By: Material type: TextTextPublisher: London ; New York : Routledge, Taylor & Francis Group, c2019Description: xx, 342 pages : illustrations ; 25 cmISBN:
  • 9781138541405
  • 9781138541436
Uniform titles:
  • a practical introduction /
Subject(s): Additional physical formats: Online version:: Regression analysisDDC classification:
  • 519.536 23 ARK
Summary: "With the rise of "big data", there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognise the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!"-- Provided by publisher.
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Holdings
Item type Current library Call number Status Barcode
Book Education Library Open Access Section 519.536 ARK (Browse shelf(Opens below)) Available 6326
Book Education Library Open Access Section 519.536 ARK (Browse shelf(Opens below)) Available 6327

Includes index.

Includes bibliographical references.

"With the rise of "big data", there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognise the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!"-- Provided by publisher.

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