87. Regression and Correlation

  1. Gavriel Salvendy Ph.D. professor founding editor founding chair member scientist Honorary Doctrate Fellow
  1. Raja M. Parvez Vice President of Manufacturing and Quality1 and
  2. Donald Fusaro Member of Technical Staff2

Published Online: 5 DEC 2007

DOI: 10.1002/9780470172339.ch87

Handbook of Industrial Engineering: Technology and Operations Management, Third Edition

Handbook of Industrial Engineering: Technology and Operations Management, Third Edition

How to Cite

Parvez, R. M. and Fusaro, D. (2001) Regression and Correlation, in Handbook of Industrial Engineering: Technology and Operations Management, Third Edition (ed G. Salvendy), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470172339.ch87

Editor Information

  1. School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USA

Author Information

  1. 1

    Fitel Technologies, Perryville Corporate Park, Perryville, Illinois, USA

  2. 2

    Optoelectronics Quality, Lucent Technologies Bell Labs, Innovations, Breinigsville, Pennsylvania, USA

Publication History

  1. Published Online: 5 DEC 2007
  2. Published Print: 11 MAY 2001

ISBN Information

Print ISBN: 9780471330578

Online ISBN: 9780470172339

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Keywords:

  • variation in statistical modeling;
  • regression and correlation;
  • multiple linear regression;
  • regression analysis programs and analytic and diagnostic devices;
  • variance inflection factors (VIF)

Summary

This chapter contains sections titled:

  • Introduction to Regression Analysis

  • Relating Two Variables

  • Multiple Linear Regression

  • Relating Diagnostic Questions to Goals

  • An Introduction to Modern Diagnostics

  • Diagnostics for the Example

  • Other Regression Topics

  • Some Practical Concerns

  • References

  • Additional Reading