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Pearson correlation

Measure the strength of a linear relationship.

How this works

Pearson r = cross-deviation sum / √(x squared-deviation sum × y squared-deviation sum).

Example

Using the example inputs, correlation r is 1.

X values
1, 2, 3
Y values
2, 4, 6
Correlation r
1

Scope and assumptions

Correlation is not evidence of causation; constant lists are undefined.

NIST statistical methods handbook

Related calculators

Linear regression prediction

Sample covariance

Binomial probability

Poisson probability

Normal interval probability

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