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

EntityQ186290· pop 70· linked from 1,837 articles

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

兩個隨機變量或雙變量數據之間的任何統計關係,無論是否為因果關係

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

Article · 中文

相关(Correlation),又称为 相关性、关联,在概率论和统计学中,相关显示了两个或几个随机变量之间线性关系的强度和方向。在统计学中,相关的意义是:用来衡量两个变量相对于其相互独立的距离。在这个广义的定义下,有许多根据数据特点用来衡量数据相关性而定义的系数,称作 相关系数。通常使用相关系数来计量这些随机变量协同变化的程度,当随机变量间呈现同一方向的变化趋势时称为正相关,反之则称为负相关。

Abstract from DBpedia / Wikipedia · CC BY-SA

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