TY  - BOOK
AU  - Welc,Jacek
AU  - Esquerdo,Pedro J.Rodriguez
ED  - SpringerLink (Online service)
TI  - Applied Regression Analysis for Business: Tools, Traps and Applications 
SN  - 9783319711560
AV  - HF5691-5716 
U1  - 330.0151 
PY  - 2018///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Business mathematics
KW  - Statistics 
KW  - Econometrics
KW  - Business Mathematics
KW  - Statistics for Business, Management, Economics, Finance, Insurance
N1  - 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
N2  - 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
UR  - https://s443-doi-org.br.lsproxy.net/10.1007/978-3-319-71156-0
ER  -