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Applied Regression Analysis for Business - Tools, Traps and Applications (Hardcover, 1st ed. 2018): Jacek Welc, Pedro J.... Applied Regression Analysis for Business - Tools, Traps and Applications (Hardcover, 1st ed. 2018)
Jacek Welc, Pedro J. Rodriguez Esquerdo
R2,763 Discovery Miles 27 630 Ships in 12 - 17 working days

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.

Applied Regression Analysis for Business - Tools, Traps and Applications (Paperback, Softcover reprint of the original 1st ed.... Applied Regression Analysis for Business - Tools, Traps and Applications (Paperback, Softcover reprint of the original 1st ed. 2018)
Jacek Welc, Pedro J. Rodriguez Esquerdo
R1,858 Discovery Miles 18 580 Ships in 10 - 15 working days

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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