Correlation with Pearson Method
Measure straight-line relationship between paired numeric observations.
Your numbers
Pearson correlation r
Correlation measure linear association; e no establish cause and effect.
Compare scenarios
You fit keep up to three snapshots for this tab. Loading one go replace the present inputs.
Formula
r=Σ(x−x̄)(y−ȳ)/√(Σ(x−x̄)²Σ(y−ȳ)²)
Measure straight-line relationship between paired numeric observations.
Example wey show the calculation
- Observed x values
- 1, 2, 3, 4, 5
- Observed y values
- 2, 4, 6, 8, 10
- Pearson correlation r
- 1
- Covariance for the sample
- 5
- Observations wey come as pairs
- 5
Where e fit work and limits
Correlation measure linear association; e no establish cause and effect.
We check inputs for missing values and allowed ranges. Result wey pass the finite numeric range no go show. Rounding affect wetin display, while calculation use the model numeric precision.
Check your units and assumptions before you rely on result. Changing label no convert currency or physical unit.
Version of di formula: 31a062c93d60 · Example don get check: