Pearson Correlation Calculator
Pearson correlation calculator
Compute Pearson correlation coefficient r for paired numeric variables.
Result
0.7745966692
Correlation strength |r| = 0.7745966692.
stats
Advanced options
Flow
- Enter x,y pairs line by line.
- Compute r value.
- Interpret sign and absolute magnitude of r.
Example
Worked example: 1,2 2,4 3,5 4,4 5,5
- 1 Calculate sample covariance.
- 2 Compute sample standard deviations of x and y.
- 3 Divide covariance by product of standard deviations.
r is positive and close to strong linear association.
How
- Enter x,y pairs line by line.
- Compute r value.
- Interpret sign and absolute magnitude of r.
Avoid
- Treating correlation as causation.
- Using Pearson r for clearly non-linear relationships without diagnostics.
Checks
Best fit
Pearson Correlation Calculator is built for compute pearson correlation coefficient r for paired numeric data. If Pearson Correlation Calculator does not match the input scope, compare the answer with a second method.
Input check
Match the entered values to this rule before copying the answer: r = Cov(X,Y) / (σX × σY).
Sanity check
For Pearson Correlation Calculator, use the worked example as a quick benchmark: R is positive and close to strong linear association. If the pearson correlation calculator answer is far away, check whether an input, unit, or mode changed.
Before copying
Review this common issue first: treating correlation as causation.
FAQ
What is the range of r?
r ranges from -1 to +1.
Can r be zero with relationship present?
Yes. Non-linear relationships can have near-zero Pearson r.
Do units matter?
Correlation is unitless and invariant to linear scaling.
Switch
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No match.