Statistical Science

Correlations Genuine and Spurious in Pearson and Yule

John Aldrich

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Abstract

Karl Pearson and G. Udny Yule developed the main interpretations of correlation used by statisticians for the past century or so. They also examined a number of situations in which the correlation inference was unsatisfactory. This paper considers the development of their ideas on both genuine and spurious correlations and makes some reference to related modern work.

Article information

Source
Statist. Sci., Volume 10, Number 4 (1995), 364-376.

Dates
First available in Project Euclid: 19 April 2007

Permanent link to this document
https://projecteuclid.org/euclid.ss/1177009870

Digital Object Identifier
doi:10.1214/ss/1177009870

JSTOR
links.jstor.org

Keywords
Pearson Yule Student correlation causation spurious correlation spurious regression Simpson's paradox variate-difference correlation method

Citation

Aldrich, John. Correlations Genuine and Spurious in Pearson and Yule. Statist. Sci. 10 (1995), no. 4, 364--376. doi:10.1214/ss/1177009870. https://projecteuclid.org/euclid.ss/1177009870


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