Applied regression analysis for business : tools, traps and applications / Jacek Welc, Pedro J. Rodriguez Esquerdo.
Welc, Jacek, author.; Esquerdo, Pedro J. Rodriguez, author.
2018
HA31.3
Available Online

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Title Applied regression analysis for business : tools, traps and applications / Jacek Welc, Pedro J. Rodriguez Esquerdo.
Author Welc, Jacek, author.
ISBN 9783319711560 (electronic book)
3319711563 (electronic book)
9783319711553
3319711555
DOI https://doi.org/10.1007/978-3-319-71156-0
Published Cham, Switzerland : Springer, [2018]
Copyright ©2018
Language English
Description 1 online resource
Item Number 10.1007/978-3-319-71156-0 doi
Call Number HA31.3
Dewey Decimal Classification 519.536
Summary 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.
Note 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (viewed January 11, 2018).
Added Author Esquerdo, Pedro J. Rodriguez, author.
Available in Other Form Applied regression analysis for business.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Preface.- Basics of regression models.- Relevance of outlying and influential observations for regression analysis.- Basic procedure for multiple regression model building
Verification of multiple regression model
Common adjustments to multiple regressions
Common pitfalls in regression analysis
Regression analysis of discrete dependent variables
Real-life case-study: The quarterly sales revenues of Nokia Corporation
Real-life case-study: Identifying overvalued and undervalued airlines
Appendix: Statistical Tables.

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