Calculate the Pearson correlation coefficient (r) and coefficient of determination (R²) between two variables. This tool helps you measure the strength and direction of the linear relationship between two datasets.
Enter numeric values separated by commas or spaces
Must have the same number of values as X
Correlation Coefficient (r)
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R-Squared (R²)
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How to Use This Calculator
Enter your X values in the first text box (separated by commas or spaces)
Enter your Y values in the second text box (must be the same count as X values)
Click "Calculate Correlation" to see the results
View the correlation coefficient (r), R-squared value, and scatter plot
Understanding the Results
Correlation Coefficient (r): Ranges from -1 to +1. Values close to +1 indicate strong positive correlation, close to -1 indicate strong negative correlation, and close to 0 indicate no linear correlation.
R-Squared (R²): Represents the proportion of variance in the dependent variable that is predictable from the independent variable. Ranges from 0 to 1.
Scatter Plot: Visual representation of the relationship between your X and Y variables.
What is Pearson Correlation?
The Pearson correlation coefficient is a statistical measure that calculates the strength and direction of the linear relationship between two continuous variables. It is widely used in statistics, data analysis, and research to understand how two variables are related.