Advertisement

Business Analysis Using Regression

A Casebook

  • Dean P. Foster
  • Robert A. Stine
  • Richard P. Waterman

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 1-38
  3. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 39-83
  4. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 85-104
  5. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 105-132
  6. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 133-155
  7. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 157-176
  8. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 177-198
  9. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 199-227
  10. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 229-250
  11. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 251-271
  12. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 273-298
  13. Dean P. Foster, Robert A. Stine, Richard P. Waterman
    Pages 299-332
  14. Back Matter
    Pages 333-348

About this book

Introduction

Preface Statistics is seldom the most eagerly anticipated course of a business student. It typically has the reputation ofbeing aboring, complicated, and confusing mix of mathematical formulas and computers. Our goal in writing this casebook and the companion volume (Basic Business Statistics) was to change that impression by showing how statistics gives insights and answers interesting business questions. Rather than dwell on underlying formulas, we show how to use statistics to answer questions. Each case study begins with a business question and concludes with an answer. Formulas appear only as needed to address the questions, and we focus on the insights into the problem provided by the mathematics. The mathematics serves a purpose. The material is organized into 12 "classes" of related case studies that develop a single, key idea of statistics. The analysis of data using statistics is seldom very straightforward, and each analysis has many nuances. Part ofthe appeal ofstatistics is this richness, this blending of substantive theories and mathematics. For a newcomer, however, this blend is too rich and they are easily overwhelmed and unable to sort out the important ideas from nuances. Although later cases in these notes suggest this complexity, we do not begin that way. Each class has one main idea, something big like standard error. We begin a class by discussing an application chosen to motivate this key concept, and introduce the necessary terminology.

Keywords

Impress Mathematica Minitab Volume analysis of variance class complexity computer e-Book fitting form mathematics modeling statistics time series

Authors and affiliations

  • Dean P. Foster
    • 1
  • Robert A. Stine
    • 1
  • Richard P. Waterman
    • 1
  1. 1.Department of Statistics Wharton SchoolUniversity of PennsylvaniaPhiladelphiaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-0683-5
  • Copyright Information Springer-Verlag New York, Inc. 1998
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-98356-1
  • Online ISBN 978-1-4612-0683-5
  • Buy this book on publisher's site
Industry Sectors
Pharma
Biotechnology
Finance, Business & Banking
Oil, Gas & Geosciences