Chapter 7. Data Analysis, Regression, and Reporting of Results

  1. Hugh W. Coleman1 and
  2. W. Glenn Steele Jr.2

Published Online: 27 JUL 2009

DOI: 10.1002/9780470485682.ch7

Experimentation, Validation, and Uncertainty Analysis for Engineers, Third Edition

Experimentation, Validation, and Uncertainty Analysis for Engineers, Third Edition

How to Cite

Coleman, H. W. and Steele, W. G. (2009) Data Analysis, Regression, and Reporting of Results, in Experimentation, Validation, and Uncertainty Analysis for Engineers, Third Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470485682.ch7

Author Information

  1. 1

    University of Alabama in Huntsville, USA

  2. 2

    Mississippi State University, USA

Publication History

  1. Published Online: 27 JUL 2009
  2. Published Print: 10 JUL 2009

ISBN Information

Print ISBN: 9780470168882

Online ISBN: 9780470485682

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Keywords:

  • data analysis, regression, and reporting of results;
  • regression analysis and uncertainty;
  • least-squares estimation;
  • classical linear regression uncertainty - random uncertainty;
  • pressure transducer calibration data set

Summary

This chapter contains sections titled:

  • Overview of Regression Analysis and Its Uncertainty

  • Least-Squares Estimation

  • Classical Linear Regression Uncertainty: Random Uncertainty

  • Comprehensive Approach to Linear Regression Uncertainty

  • Reporting Regression Uncertainties

  • Regressions in Which X and Y Are Functional Relations

  • Examples of Determining Regressions and Their Uncertainties

  • Multiple Linear Regression

  • References

  • Problems