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  Home > JCE Print > Journal of Chemical Education > Issues > 2007  > March  >
Research: Science and Education
Dealing with Outliers: Robust, Resistant Regression
Leslie Glasser
Nanochemistry Research Institute, Department of Applied Chemistry, Curtin University of Technology, Perth WA 6845, Australia
Cover
March 2007
Vol. 84 No. 3
p. 533
Abstract
Least-squares linear regression is the best of statistics and it is the worst of statistics. The reasons for this paradoxical claim, arising from possible inapplicability of the method and the excessive influence of "outliers", are discussed and substitute regression methods based on median selection, which is both robust and resistant, are introduced. A simple Excel macro to perform median-based linear regression, as suggested by Theil and by Siegel, is described and made available.
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An Excel workbook and visualization are available.
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Contents
  JCE2007p0533W.zip
JCE2007p0533W.xls
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Citation
Glasser, Leslie. J. Chem. Educ. 2007 84 533.
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Keywords
Calibration; Chemometrics; Graduate Education / Research; Mathematics / Symbolic Mathematics; Physical Chemistry; Textbooks / Reference Books; Upper-Division Undergraduate
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History
Created:
Last Updated:
2/1/2007
2/16/2007
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