Mathematics Atlas

How Proof Is Made
Sign In
Text size
100%
Theme
Mathematical Object

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. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/

Facts
Classification
Object Kind
Statistic 1
Connections

In Branch

Source Pearson Correlation Coefficient (Wikipedia)

Is Kind Of Object

Statistic, Concepts

Entity-backed identity for the object-kind enum value this mathematical object already carries, resolved to a mathematics concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The object-kind fact itself stays on the object unchanged.

Sources
1. Pearson Correlation Coefficient (Wikipedia)
In Branch: Probability and Statistics, Lead sentence
Quote, 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
View the Source
Comments (0)
No comments yet. Be the first to share a thought.
Reader Challenges (0)
No disputes yet. Spotted an error or a better source? Open the first one.