Applied Regression Analysis for Business

Tools, Traps and Applications

Business & Finance, Economics, Econometrics, Statistics
Cover of the book Applied Regression Analysis for Business by Jacek Welc, Pedro J. Rodriguez Esquerdo, Springer International Publishing
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Author: Jacek Welc, Pedro J. Rodriguez Esquerdo ISBN: 9783319711560
Publisher: Springer International Publishing Publication: December 29, 2017
Imprint: Springer Language: English
Author: Jacek Welc, Pedro J. Rodriguez Esquerdo
ISBN: 9783319711560
Publisher: Springer International Publishing
Publication: December 29, 2017
Imprint: Springer
Language: English

This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies.

Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies.

Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.

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