Spearman paired rank correlation
Measure monotonic association using average ranks for ties.
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Enter at least three complete independent pairs, up to 500. Missing values must be resolved before use. No p-value is supplied because small-sample and tied-rank inference needs a separate method.
The starting values are hypothetical. Results update as you edit. Use aggregate or synthetic inputs only.
Calculation results
- Pairs
- 5
- Spearman rho
- -0.97467943
- Distinct x values
- 4
- Distinct y values
- 5
How to interpret the output
Spearman rho is Pearson correlation of average ranks. It measures monotonic association, not agreement, causation or a slope. Ties reduce available rank information; a constant variable has undefined correlation.
Method referenceSource checked 2026-11-06. Read the reproducible calculator validation report.