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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 3, 1971 - Issue 4
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Articles

A Method for Improving the Accuracy of Polynomial Regression Analysis

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Pages 149-155 | Published online: 27 Feb 2018
 

Abstract

This paper presents a method for improving the accuracy of polynomial regression analysis. It is applicable when the relationship being investigated is between one independent and one dependent variable.

The least squares equation which best “fits” the data is determined using the properties of orthogonal polynomials and the statistical technique known as Analysis of Variance. The major differences between this technique and the usual regression approach to curve fitting are also discussed.

Additional information

Notes on contributors

Alan F. Dutka

Mr. Dutka, an ASQC member, is a Management Scientist with the B. F. Goodrich Company in Akron, Ohio, and is a lecturer in the James J. Nance College of Business Administration, Cleveland State University, Cleveland, Ohio. Mr. Ewens is Senior Scientific Programmer with B. F. Goodrich in Akron.

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