Advertisement

© 2018

Applied Regression Analysis for Business

Tools, Traps and Applications

Book

Table of contents

  1. Front Matter
    Pages i-xi
  2. Jacek Welc, Pedro J. Rodriguez Esquerdo
    Pages 1-6
  3. Jacek Welc, Pedro J. Rodriguez Esquerdo
    Pages 7-35
  4. Jacek Welc, Pedro J. Rodriguez Esquerdo
    Pages 37-61
  5. Jacek Welc, Pedro J. Rodriguez Esquerdo
    Pages 63-130
  6. Jacek Welc, Pedro J. Rodriguez Esquerdo
    Pages 131-172
  7. Jacek Welc, Pedro J. Rodriguez Esquerdo
    Pages 173-212
  8. Jacek Welc, Pedro J. Rodriguez Esquerdo
    Pages 213-227
  9. Jacek Welc, Pedro J. Rodriguez Esquerdo
    Pages 229-256
  10. Jacek Welc, Pedro J. Rodriguez Esquerdo
    Pages 257-276
  11. Back Matter
    Pages 277-286

About this book

Introduction

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.

Keywords

Regression analysis Single-equation models Statistical analysis Business forecasting Outlying observations Multiple regression model Pitfalls in regression analysis Real-life examples of business analysis Regression analysis for business Basics of regression Regression analysis of discrete dependent variables

Authors and affiliations

  1. 1.Wrocław University of EconomicsJelenia GoraPoland
  2. 2.University of Puerto RicoRio PiedrasUSA

About the authors

Jacek Welc obtained his Ph.D. in Economics for his thesis on “Autoregressive Distributed Lags in Forecasting Regional Business Cycles” in 2008 from the Wroclaw University of Economics, after having graduated there with a Master of Economics in 2003. Besides having published more than forty research papers, Welc has been active in professional corporate finance services, including financial statement auditing and company valuations, which mainly involve companies listed on the Warsaw Stock Exchange.

Pedro J. Rodriguez Esquerdo obtained his Ph.D. in Mathematics in 1983 from the University of California, Santa Barbara, after he graduated with a Master in Statistics in 1980 and a Master in Economics in 1981. He published several academic textbooks on mathematics and statistics including “Estadistica Descriptiva. Una Introduccion Conceptual Al Analisis”.

Bibliographic information

Industry Sectors
Consumer Packaged Goods
Finance, Business & Banking