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Correlation Coefficient Calculator

Pearson r with strength interpretation and R².

Best for: Use it to gauge how related two data series are before modelling or drawing conclusions.

Complete guide

Input

How it's calculated & sources
The Correlation Coefficient Calculator uses the standard, deterministic formula, so the same inputs always produce the same result. It runs entirely in your browser, so your inputs are never uploaded. Last reviewed June 2026.

Free & no sign-up · runs entirely in your browser. Results are estimates for general information, not professional advice — verify important decisions with a qualified expert. Last reviewed June 2026.

How it works

Pearson r = Σ(xᵢ−x̄)(yᵢ−ȳ) / √(Σ(xᵢ−x̄)² · Σ(yᵢ−ȳ)²). Range: −1 to +1.

Example

x=1..5, y=2,4,5,4,5 → r ≈ 0.775

Frequently asked questions

Correlation vs causation?+

Correlation measures linear association — it does not imply one variable causes the other.

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Quick answers

Short, sourced answers to the questions people (and AI assistants) ask most.

What is Correlation Coefficient?
A correlation coefficient calculator measures how strongly two variables move together, from -1 to +1 (Pearson's r).
Why does Correlation Coefficient matter?
r near +1 is a strong positive relationship, near -1 strong negative, near 0 little linear relationship. r only measures LINEAR association.
How is Correlation Coefficient calculated?
It divides the covariance of x and y by the product of their standard deviations. Formula: r = sum((x - xbar)(y - ybar)) / sqrt(sum((x - xbar)^2) x sum((y - ybar)^2)).
What are common correlation coefficient mistakes?
Reading correlation as causation.
When should you use the Correlation Coefficient Calculator?
Use it to gauge how related two data series are before modelling or drawing conclusions.

What is the Correlation Coefficient Calculator?

A correlation coefficient calculator measures how strongly two variables move together, from -1 to +1 (Pearson's r).

How the Correlation Coefficient Calculator works

It divides the covariance of x and y by the product of their standard deviations.

r = sum((x - xbar)(y - ybar)) / sqrt(sum((x - xbar)^2) x sum((y - ybar)^2))

Common mistakes to avoid

  • Reading correlation as causation.
  • Missing a strong non-linear relationship that r reports as weak.
  • Letting outliers inflate or hide the true relationship.

Keywords: correlation, pearson.

Sources: NIST/SEMATECH e-Handbook of Statistical Methods

Reviewed by the Free Tools Galaxy editorial team · Updated June 2026 · Calculated privately in your browser.

Frequently asked questions

Is the Correlation Coefficient Calculator free to use?+

Yes. Every tool on Free Tools Galaxy is 100% free, runs in your browser and requires no signup.

How accurate is the Correlation Coefficient Calculator?+

Correlation Coefficient Calculator uses the standard correlation coefficient formula in double-precision arithmetic, so the same inputs always produce the same result and you can verify any figure by hand. It is an educational estimate — real-world outcomes depend on your actual rates, rules and assumptions.

Do you store my inputs?+

No. The Correlation Coefficient Calculator runs entirely in your browser. Nothing is uploaded or saved to a server.

Can I use the Correlation Coefficient Calculator on mobile?+

Yes — the interface is fully responsive and works on phones, tablets and desktops.

What are common mistakes to avoid?+

The most frequent mistake is mixing units. Double-check your inputs use a single, consistent unit before clicking Calculate.

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Correlation Coefficient Calculator on Free Tools Galaxy — Pearson r with strength interpretation and R². https://freetoolsgalaxy.com/tools/correlation-coefficient-calculator
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# Correlation Coefficient Calculator — the free tool I keep coming back to

Pearson r with strength interpretation and R².

Try it: https://freetoolsgalaxy.com/tools/correlation-coefficient-calculator
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The fastest way is to use a free in-browser correlation coefficient calculator: https://freetoolsgalaxy.com/tools/correlation-coefficient-calculator. Pearson r with strength interpretation and R².

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