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Both calculators run independently — change the inputs on either side to compare results.

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).

Number of Pairs

Sum of XY

Sum of X

Sum of Y

Sum of X²

Sum of Y²

Fill in the required fields to see your result.

Statistics

Linear Regression Slope Calculator

Calculate the slope of a least-squares linear regression line from summary statistics of paired x and y data. The slope tells you how much y changes per unit change in x — central to forecasting, regression analysis, and any task that quantifies a linear relationship between two variables.

Number of Points

Sum of XY

Sum of X

Sum of X²

Fill in the required fields to see your result.

Key differences

	Correlation Coefficient Calculator	Linear Regression Slope Calculator
Category	Statistics	Statistics
Inputs required	6	4
Result	Correlation Coefficient	Slope (b)
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).	Calculate the slope of a least-squares linear regression line from summary statistics of paired x and y data. The slope tells you how much y changes per unit change in x — central to forecasting, regression analysis, and any task that quantifies a linear relationship between two variables.