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A Method of Visual Interactive Regression

Citing Articles

Michelle S. Kim

Management Science and Engineering, Stanford University, Palo Alto, CA 94309

Maureen Burkart and Myung-Hoon Kim

Department of Science, Georgia Perimeter College–Dunwoody Campus, Dunwoody, GA 30338-4497

J. Chem. Educ., 2006, 83 (12), p 1884

DOI: 10.1021/ed083p1884.2

Publication Date (Web): December 1, 2006

Abstract

The process behind the least-squares method, minimizing the sum of the deviations squared, is made visible, interactive, and dynamic by allowing the user to adjust heights in a bar graph.

Keywords (Audience):

First-Year Undergraduate / General

Keywords (Domain):

Demonstrations

Keywords (Feature):

JCE WebWare: Web-Based Learning Aids

Keywords (Pedagogy):

Computer-Based Learning

Keywords (Subject):

Kinetics

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Citing Articles

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This article has been cited by 4 ACS Journal articles (4 most recent appear below).

Reply to Visualizing Statistical Concepts: Including or Not Including an Origin Point (0,0) in a Regression Analysis for Building a Standard Curve
Myung-Hoon Kim and Maureen Burkart
Journal of Chemical Education2008 85 (5), 635
- Reply to Visualizing Statistical Concepts: Including or Not Including an Origin Point (0,0) in a Regression Analysis for Building a Standard Curve
  Myung-Hoon Kim and Maureen Burkart
  Journal of Chemical Education2008 85 (5), 635
  In the letter concerning our article "A Method of Visual Interactive Regression," Robert de Levie outlines several points concerning the accuracy of our model and the data generated.Contrary to his claim, we would like to emphasize that our analysis is ...
  Abstract | Hi-Res PDF | PDF w/ Links
Visualizing Statistical Concepts
Robert de Levie
Journal of Chemical Education2008 85 (5), 635
- Visualizing Statistical Concepts
  Robert de Levie
  Journal of Chemical Education2008 85 (5), 635
  Because statistical concepts such as least-squares fitting are often experienced as abstract, their visualization can be a helpful didactic tool, provided that this is done correctly. Unfortunately, the example in Figure 1 on page 1884 of the December ...
  Abstract | Hi-Res PDF | PDF w/ Links
Reply to Visualizing Statistical Concepts: Response from the JCE WebWare Feature Editor
William F. Coleman
Journal of Chemical Education2008 85 (5), 637
- Reply to Visualizing Statistical Concepts: Response from the JCE WebWare Feature Editor
  William F. Coleman
  Journal of Chemical Education2008 85 (5), 637
  While certainly containing accurate descriptions of least-squares analysis, de Levie's letter misses the point of the visualization, which is to see how minimizing the sum of the squares of the deviations leads to the best least-squares line.
  Abstract | Hi-Res PDF | PDF w/ Links
Dealing with Outliers: Robust, Resistant Regression
Leslie Glasser
Journal of Chemical Education2007 84 (3), 533
- Dealing with Outliers: Robust, Resistant Regression
  Leslie Glasser
  Journal of Chemical Education2007 84 (3), 533
  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 ...
  Abstract | Hi-Res PDF | PDF w/ Links