Overview
You have seen how scatterplots provide useful visual information about the relationship between two variables. Just as you made use of numerical summaries of various aspects of the distribution of a single variable, it would also be handy to have a numerical measure of the association between two variables. This topic introduces you to just such a measure and asks you to investigate some of its properties. This measure is one of the most famous in statistics—the correlation coefficient.
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© 1998 Springer Science+Business Media New York
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Rossman, A.J., Chance, B.L. (1998). Correlation Coefficient. In: Workshop Statistics. The Workshop Mathematics Project. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2926-9_8
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DOI: https://doi.org/10.1007/978-1-4757-2926-9_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98411-7
Online ISBN: 978-1-4757-2926-9
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