Pearson correlation
§2.7
Rev 4.6 · reviewed Feb 2026Pearson correlation
Measures the strength of a linear relationship between two continuous variables. Paste x and y values in the same order.
Source formula: Pearson K. Proc R Soc Lond 1895;58:240–2.
x values
y values
| Pairs (n) | 10 |
| Pearson r* | 0.995 |
| r² (variance explained) | 99.0% |
* Pearson K. Proc R Soc Lond 1895;58:240–2.
Two-sided p
< 0.001▲
copyr = 1.00 indicates a strong positive linear association; about 99% of the variation in y tracks with x. Correlation says nothing about causation, and it misses curved relationships — always plot your data first.
Understand what this is measuring