QuantomLab

Correlation Coefficient Calculator

Measure the strength and direction of a linear relationship between two datasets.

Correlation coefficient: —

Both datasets must have the same number of values.

Example

Dataset X: 1, 2, 3, 4, 5
Dataset Y: 2, 4, 6, 8, 10

→ Correlation coefficient: 1.00

Understand this calculator

This calculator uses the Pearson correlation coefficient to quantify how strongly two variables are related.

Learn more about correlation coefficient

Frequently Asked Questions

What does the correlation coefficient mean?

It ranges from -1 to +1. Values close to +1 indicate strong positive correlation, close to -1 indicate strong negative correlation, and near 0 indicate weak or no linear relationship.

Does correlation imply causation?

No. Correlation only measures association, not cause-and-effect.

What if my datasets have different lengths?

The calculator requires both datasets to have the same number of values.