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Pearson Correlation Coefficient

Probability and Statistics

The Pearson correlation coefficient, also called Pearson's r or the Pearson product-moment correlation coefficient, is a correlation coefficient that measures linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations, so the result is a normalized value that always falls between minus one and one and carries no units, which lets the strength of association be compared across different pairs of variables. Karl Pearson developed the coefficient from ideas introduced by Francis Galton in the 1880s, though the underlying mathematical formula was first derived and published by Auguste Bravais in 1844, an example of what is known as Stigler's Law of eponymy.

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Statistic 1
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Source ProofWiki: Definition:Pearson Correlation Coefficient

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Source Pearson Correlation Coefficient (Wikipedia)

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1. Pearson Correlation Coefficient (Wikipedia)
  • Lead section
    In statistics, the Pearson correlation coefficient (PCC), also known as Pearson's r, the Pearson product-moment correlation coefficient (PPMCC), or simply the unqualified correlation coefficient, is a correlation coefficient that measures linear correlation between two sets of data.
  • In Branch: Probability and Statistics, Lead sentence
    In statistics, the Pearson correlation coefficient (PCC), also known as Pearson's r, the Pearson product-moment correlation coeffi
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ProofWiki: Definition:Pearson Correlation Coefficient
ProofWikiAttributed To: Karl Pearson, Historical Note
Quote, Attributed To: Karl Pearson, Historical Note
The Pearson correlation coefficient was explored in considerable depth by Karl Pearson, who discovered many of its properties.
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