Correlation Coefficient Calculator
Measure the strength and direction of the relationship between two variables.
Both datasets must have the same number of values.
Example
Y values: 2, 4, 6, 8, 10
→ Correlation coefficient: 1.00
→ Perfect positive correlation
Understand this calculator
This calculator uses the Pearson correlation formula to quantify how strongly two variables are related and whether the relationship is positive or negative.
Learn more about correlation coefficientWhat does this calculator do?
It calculates the Pearson correlation coefficient, a value between -1 and 1 that indicates the strength and direction of a linear relationship.
Why use a correlation coefficient?
Correlation helps identify relationships in data, detect trends, and avoid misleading assumptions about cause and effect.
How does it work?
The calculator compares how values in X and Y vary together relative to their means using the Pearson correlation formula.
Frequently Asked Questions
What is a good correlation coefficient?
Values close to 1 or -1 indicate a strong relationship. Values near 0 suggest little or no linear relationship.
Does correlation imply causation?
No. Correlation only measures association, not cause and effect.
What happens if datasets have different sizes?
The calculation will not run. Both datasets must contain the same number of values.