Skip to content
ضریب همبستگی

File:Correlation_examples2.svg · Wikimedia Commons · See Wikimedia Commons

EntityQ186290· pop 70· linked from 1,837 articles

ضریب همبستگی

Sign in to save

Also known as correlation and dependence, dependence, positive correlation, negative correlation, association, correlation of data

thumb|400px|right|Several sets of (x, y) points, with the Pearson correlation coefficient of x and y for each set. The correlation reflects the noisiness and direction of a linear relationship (top row), but not the slope of that relationship (middle), nor many aspects of nonlinear relationships (bottom). N.B.: the figure in the center has a slope of 0 but in that case, the correlation coefficient is undefined because the variance of Y is zero.

AI overview

Correlation measures how closely two variables move together in a linear fashion, telling you both the strength and direction of their relationship. It matters because it helps you quickly identify whether two things tend to rise and fall together or move in opposite directions, though it won't tell you how steep that relationship is or whether the connection is actually caused by one variable affecting the other.

AI-generated from the Wikipedia summary — may contain errors.

Research

2,679,331 papers

via PubMed

Wikidata facts

Image
Correlation examples2.svg
Show 2 more facts
Commons category
Correlation
Sources (5)

via Wikidata · CC0

Gallery (13)

Connections

Categories