Applied Regression Analysis for Business
Tools, Traps and Applications
Business & Finance, Economics, Econometrics, Statistics
| 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.
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.
