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Open toolFind the Pearson correlation coefficient of paired observations. Supply two comma- or whitespace-separated lists of equal length, with 2–1,000 paired finite observations.
Enter the inputs, then select Calculate result.
Result will appear here
Find the Pearson correlation coefficient of paired observations.
Supply two comma- or whitespace-separated lists of equal length, with 2–1,000 paired finite observations. Finite real numbers only. Display uses up to 12 significant digits; binary floating-point arithmetic can introduce rounding. Both lists must vary. Measures linear association from −1 to 1; association does not establish causation.
Follow the labelled inputs.
Replace the example with x values. The field labels specify the expected format and units.
Set y values. Supply two comma- or whitespace-separated lists of equal length, with 2–1,000 paired finite observations.
Select Calculate result. Review the calculated result, then copy it or download the result text.
The starting example produces 1. Find the Pearson correlation coefficient of paired observations.

Read the labels for x values and y values. Supply two comma- or whitespace-separated lists of equal length, with 2–1,000 paired finite observations.

Copy the calculated result into your notes. Keep the formula and assumptions with it if someone else needs to reproduce the calculation.

Read the units and assumptions with the output.
Find the Pearson correlation coefficient of paired observations.
Supply two comma- or whitespace-separated lists of equal length, with 2–1,000 paired finite observations. Finite real numbers only. Display uses up to 12 significant digits; binary floating-point arithmetic can introduce rounding. Both lists must vary. Measures linear association from −1 to 1; association does not establish causation.

Check the stated scope before you run it.
Supply two comma- or whitespace-separated lists of equal length, with 2–1,000 paired finite observations. Finite real numbers only. Display uses up to 12 significant digits; binary floating-point arithmetic can introduce rounding. Both lists must vary. Measures linear association from −1 to 1; association does not establish causation.
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Answers about using Correlation Coefficient Calculator and understanding its results.
Supply two comma- or whitespace-separated lists of equal length, with 2–1,000 paired finite observations. Finite real numbers only. Display uses up to 12 significant digits; binary floating-point arithmetic can introduce rounding. Both lists must vary. Measures linear association from −1 to 1; association does not establish causation.
Yes. Copy result copies the displayed text, and Download saves the same result as a text file. Calculations run in your browser without an account.
Check the calculated result, then copy or download it.