Pearson Correlation
Measure linear association between paired numeric observations.
Your numbers
Pearson r
Correlation measures linear association and does not establish causation.
Scenario comparison
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Formula
r=Σ(x−x̄)(y−ȳ)/√(Σ(x−x̄)²Σ(y−ȳ)²)
Measure linear association between paired numeric observations.
Worked example
- x observations
- 1, 2, 3, 4, 5
- y observations
- 2, 4, 6, 8, 10
- Pearson r
- 1
- Sample covariance
- 5
- Paired observations
- 5
Scope and limitations
Correlation measures linear association and does not establish causation.
Inputs are checked for missing values and allowed ranges. A result outside the finite numeric range is not displayed. Rounding affects display, while the calculation uses the model’s numeric precision.
Check your units and assumptions before relying on a result. Changing a label does not convert a currency or physical unit.
Formula version: 31a062c93d60 · Example checked: