Correlation Calculator
Pearson and Spearman correlation coefficients for paired data, with r² and a plain-language strength description.
Pearson and Spearman correlation coefficients for paired data, with r² and a plain-language strength description.
Your result will appear here
Measures how closely two variables move together. Pearson’s r measures linear association; Spearman’s ρ applies the same idea to ranks, so it captures any monotonic relationship and is less affected by outliers.
Both coefficients run from −1 (perfect decreasing relationship) through 0 (none) to +1 (perfect increasing relationship).
Example
X: 1 2 3 4 5, Y: 2 4 5 4 5
→ r ≈ 0.7746
Pearson correlation coefficient.