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portada Regression Analysis: Understanding and Building Business and Economic Models Using Excel (Agency (en Inglés)
Formato
Libro Físico
Año
2012
Idioma
Inglés
N° páginas
179
Encuadernación
Tapa Blanda
ISBN13
9781606494349
Categorías

Regression Analysis: Understanding and Building Business and Economic Models Using Excel (Agency (en Inglés)

J. Holton Wilson (Autor) · Business Expert Press · Tapa Blanda

Regression Analysis: Understanding and Building Business and Economic Models Using Excel (Agency (en Inglés) - J. Holton Wilson

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Reseña del libro "Regression Analysis: Understanding and Building Business and Economic Models Using Excel (Agency (en Inglés)"

This book covers essential elements of building and understanding regression models within the context of business and economics. It is a nonmathematical treatment that is accessible, even to readers with limited statistical backgrounds. It is useful for business professionals, MBA students and others who seek to understand regression analysis without having to work through tedious mathematical and statistical theory. The importance of using regression models in modern business and economic analysis can hardly be overstated. In this book we describe exactly how such models can be developed and evaluated. The data used is real data with real world business applications, not data that has been contrived to demonstrate some purely academic point. These data are likely to be encountered and used in the actual world of business. In an appendix using screen shots and step by step instructions, we include how to do use Excel to perform regression analysis. When readers have completed this book they will understand how to build basic mathematical models illustrating business/economic relationships using regression analysis. In addition, they will know how to interpret and evaluate regression models using a five step process (which includes evaluating the model; identifying its statistical significance; determining its explanatory power; for time-series applications, identifying how the error terms are distributed; and understanding the concept of multicollinearity). Readers will understand what is possible and what to look for in evaluating regression models. It is unlikely that most readers will build such models in the course of carrying out their own professional responsibilities, but it is very likely that they will, at some point in their careers, be exposed to such models. This book will help such readers understand models that someone else has developed.

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