Does Correlation Prove Causation?

No. A high coefficient can be caused by confounding, selection, common trends or chance and says nothing by itself about which variable causes the other.

How Are Ties Handled In Spearman Correlation?

Tied values receive their average rank before the correlation is calculated.

Correlation Calculator

Calculate Pearson and Spearman correlation from paired data with a scatter plot, tie-aware ranks, interpretation and PDF or CSV export.

Paired Data

Compare linear and rank-based association from the same observations.

X ValuesY Values

Separate values with commas, spaces, tabs or line breaks. Pairing follows position.

Load Paired CSV

Scatter Plot

Each dot is one X/Y observation.

Correlation Summary

Pearson Correlation

0.99952438

Very Strong Positive Association

Spearman Rank: 1
R Squared: 99.9049%
Observations: 8
Mean X: 4.5
Mean Y: 7.7875

Show Calculation Notes

Export Analysis

A high coefficient cannot establish cause, rule out confounding, prove the relationship is useful, or capture a non-monotonic pattern.

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What Is the Correlation Calculator?

The Correlation Calculator measures two forms of association from paired observations. Pearson r describes linear association; Spearman rho applies Pearson correlation to average ranks and can describe monotonic association even when the scale is not linear.

How It Works

Paste corresponding X and Y series or load the first two numeric columns of a CSV file. Review both coefficients, the coefficient of determination, scatter plot and method notes.

When to Use It

Use it for exploratory statistics, coursework and quick checks of whether two numeric variables move together.

Frequently Asked Questions

Does Correlation Prove Causation?: No. A high coefficient can be caused by confounding, selection, common trends or chance and says nothing by itself about which variable causes the other.
How Are Ties Handled In Spearman Correlation?: Tied values receive their average rank before the correlation is calculated.

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