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Summary Interpretation of correlation is often based on rules of thumb in which some boundary values are given to help decide whether correlation is non‐important, weak, strong or very strong. This article shows that such rules of thumb may do more harm than good, and instead of supporting interpretation of correlation – which is their aim – they teach a schematic approach to statistics. Therefore they should be avoided in a statistics course.
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Marcin Kozak (2009) studied this question.
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