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Both calculators run independently — change the inputs on either side to compare results.
Statistics
Correlation Coefficient Calculator
Compute the Pearson correlation coefficient (r) between two variables from paired summary statistics — n, Σxy, Σx, Σy — to measure how strongly they move together linearly. The number ranges from −1 (perfect negative linear relationship) through 0 (no linear relationship) to +1 (perfect positive linear relationship).
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Statistics
Linear Regression Calculator
Find the linear relationship between two variables by computing the slope, correlation coefficient, and R² from paired data points. Use it when analyzing trends in sales, scientific experiments, or any dataset where you want to predict one variable from another.
Fill in the required fields to see your result.
Key differences
| Correlation Coefficient Calculator | Linear Regression Calculator | |
|---|---|---|
| Category | Statistics | Statistics |
| Inputs required | 6 | 3 |
| Result | Correlation Coefficient | Result |
| What it does | Compute the Pearson correlation coefficient (r) between two variables from paired summary statistics — n, Σxy, Σx, Σy — to measure how strongly they move together linearly. The number ranges from −1 (perfect negative linear relationship) through 0 (no linear relationship) to +1 (perfect positive linear relationship). | Find the linear relationship between two variables by computing the slope, correlation coefficient, and R² from paired data points. Use it when analyzing trends in sales, scientific experiments, or any dataset where you want to predict one variable from another. |