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Calculate Pearson's r or Spearman's rho from paired data, with the p-value, a 95% confidence interval and r². Already have r? Enter it with the sample size.
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| Pearson r | 0.978 |
|---|---|
| 95% CI | 0.909 to 0.995Fisher z transformation |
| t statistic | 13.413 (df = 8) |
| p-value (two-sided) | < 0.001 |
| Coefficient of determination | 0.957Share of variance explained (r²) |
| n | 10 |
Pearson for linear relationships, Spearman for ranks.
Paste the two variables in the same order, or enter r and n.
An APA-style sentence with r, CI and p.
Pearson's r measures the strength of a linear relationship between two continuous variables. Spearman's rho is Pearson's r calculated on ranks, so it captures any monotonic relationship and is less affected by outliers.
Correlation does not imply causation, and r² tells you the share of variation in one variable associated with the other.
It depends on the field; what matters is the confidence interval and whether the relationship is meaningful in context.