Correlation Coefficient Calculator
Use this free Pearson correlation coefficient calculator to measure the strength and direction of the linear relationship between two variables. Enter five paired data points to get Pearson r, R-squared, and a step-by-step calculation breakdown.
Enter Values
First x value
First y value (paired with x1)
Second x value
Second y value
Third x value
Third y value
Fourth x value
Fourth y value
Fifth x value
Fifth y value
Result
Enter values above and click Calculate to see your result.
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Formula
How it works: Compute the covariance of x and y and divide by the product of their individual standard deviations. This normalizes the covariance to a value between -1 and 1.
Review and Methodology
This calculator runs locally in your browser. Inputs are converted into the units required by the formula, and the result is paired with supporting references so you can verify the method before using it for planning or estimates.
Worked Example
What Is the Pearson Correlation Coefficient?
The Pearson correlation coefficient (r) measures the strength and direction of the linear relationship between two continuous variables. It ranges from -1 to +1. It is the most widely used measure of association in statistics.
- r = 1: perfect positive linear relationship
- r = -1: perfect negative linear relationship
- r = 0: no linear relationship (but nonlinear relationships may exist)
- R-squared tells you the proportion of variance in y explained by x
- Correlation does not imply causation
- Pearson r only measures linear relationships. A perfect curve can have r = 0
Always plot your data first, as outliers and nonlinear patterns can make r misleading.
You can also calculate changes using our Correlation P-Value Calculator, Standard Deviation Calculator or T-Test Calculator.
Frequently Asked Questions
What does r close to 1 mean?
A strong positive linear relationship. As one variable increases, the other tends to increase proportionally.
Does correlation imply causation?
No. Two variables can be correlated due to a confounding variable, reverse causation, or coincidence. Ice cream sales and drowning deaths are correlated because both increase in summer.
What is R-squared?
R-squared is the square of r. It represents the proportion of variance in one variable explained by the other. R-squared = 0.64 means 64% of variation in y can be predicted from x.
What is a strong vs weak correlation?
General guide: |r| > 0.7 is strong, 0.4-0.7 is moderate, 0.2-0.4 is weak, < 0.2 is negligible. Context matters though.
What if my relationship is curved?
Pearson r only measures linear association. Consider Spearman rank correlation for monotonic relationships or fit a nonlinear model.
Is it possible to embed the Correlation Coefficient Calculator on another website?
Yes, embedding the Correlation Coefficient Calculator is free. Hit the "Embed" button on this page, adjust the width, height, and theme, then grab the iframe code. It works on WordPress, Wix, Squarespace, Shopify, and plain HTML pages. No registration needed. Full instructions at calculory.com/services/embed-calculators.
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