The benefits of teaching Inverse Regression alongside Least Squares Regression: Graphical and numerical comparisons

Authors

  • Di Gao Sam Houston State University
  • Stephen M. Scariano Sam Houston State University

Keywords:

Regression, Inverse Regression, Least Squares, Temperature Data, Undergraduates

Abstract

A good, college-level first course in descriptive and inferential statistics must include the topic of Least Squares Regression. Indeed, most modern statistics textbooks discuss linear regression as soon as the concept of statistical correlation is understood. This article demonstrates how to enhance a general discussion of Least Squares Regression with the concept of Inverse Regression.  In Part I of this bipartite exposition, foundations are laid, and graphical and numerical comparisons are developed.  Deeper relationships are then explored in Part II of this series.

References

Peck, R. (2015). Statistics: Learning from Data, Cengage Learning, Stamford, CT.

Peck, R., Olsen, C, and Devore, J. (2015.) Statistics and Data Analysis, 5th ed. Cengage Learning, Boston, MA.

Stigler, S. M. (1981). “Gauss and the Invention of Least Squares,” Annals of Statistics, Vol. 9, No. 2, 465-474. https://projecteuclid.org/download/pdf_1/euclid.aos/1176345451

Weiss, N. (2012). Elementary Statistics, 8th ed. Addison-Wesley, Boston, MA.

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Published

2021-01-01

How to Cite

The benefits of teaching Inverse Regression alongside Least Squares Regression: Graphical and numerical comparisons. (2021). Research Journal in Advanced Sciences, 2(1), 16-28. https://royalliteglobal.com/rjas/article/view/457