Pearson Correlation Calculator
Measure signed linear association between paired numeric observations.
Your result
MATHEnter your values and select calculate.
On this page How it works & practical examples
How to use the Pearson Correlation Calculator
Enter matched pairs without rearranging either series separately. The output measures the direction and strength of linear association, while the existing regression tool estimates a fitted prediction line.
The calculation
Worked example
Pairs (1,2), (2,4) and (3,6) have Pearson correlation +1.
Assumptions and limits
At least two pairs and nonzero variability in both variables are required. Correlation does not establish causation or summarize all nonlinear relationships.
Common questions
Which inputs should I use?
Enter matched pairs without rearranging either series separately. The output measures the direction and strength of linear association, while the existing regression tool estimates a fitted prediction line.
What does the result exclude?
At least two pairs and nonzero variability in both variables are required. Correlation does not establish causation or summarize all nonlinear relationships.