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.
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Engel, J., Sedlmeier, P. (2011). Correlation and Regression in the Training of Teachers. In: Batanero, C., Burrill, G., Reading, C. (eds) Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education. New ICMI Study Series, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1131-0_25
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