🎲  Correlation

Correlation#

The strength and direction of a linear relationship between variables.

Important

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What it is#

Correlation measures the strength and direction of the relationship between two variables. The Pearson coefficientr in a sample, ρ in the population — runs from −1 to +1: −1 a perfect negative line, +1 a perfect positive line, and 0 no linear relationship.

How to read it#

The sign gives direction, the magnitude gives strength; squaring it yields , the share of one variable’s variance explained by the other. Rough effect-size guides call 0.1 small, 0.3 medium, 0.5 large — but a statistically significant r can still be trivially small in a large sample.

Its limits#

Correlation captures only linear association, so it can miss strong nonlinear patterns; it is not robust to outliers, which can inflate or hide it; and, crucially, correlation is not causation — two variables can move together because a third drives both. Use rank correlation (Spearman) for monotonic, non-linear ties.


Theme: Probability & Statistics Foundations  ·  All terminology



See also

Source article Adapted (context, re-expressed) in our own words from: Correlation (insightful-data-lab.com).

Tags: purpose: reference topic: terminology level: beginner