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Correlation and Regression in the Training of Teachers

  • Joachim Engel
  • Peter Sedlmeier
Chapter
Part of the New ICMI Study Series book series (NISS, volume 14)

Abstract

Although the notion of functional dependence of two variables is fundamental to school mathematics, teachers often are not trained to analyse statistical dependencies. Many teachers’ thinking about bivariate data is shaped by the deterministic concept of a mathematical function. Statistical data, however, usually do not perfectly fit a deterministic model but are characterised by variation around a possible trend. Therefore, understanding regression and correlation requires, apart from basic knowledge about functions, an appreciation of the role of variation. In this chapter, common errors and fallacies related to the concepts of correlation and regression are revisited and suggestions on how teachers may overcome some of these difficulties are provided.

Keywords

Mathematics Teacher Statistical Concept Local Conception Previous Belief Bivariate Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.University of EducationLudwigsburgGermany
  2. 2.University of TechnologyChemnitzGermany

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