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Both calculators run independently — change the inputs on either side to compare results.
Statistics
Linear Regression Calculator
Fit a least-squares linear regression and read off the slope of the best-fit line y = a + b·x, using summary statistics (n, Σx, Σy, Σxy, Σx²) of paired x and y data. Used for trend analysis, forecasting, and quantifying how much y changes per unit change in x.
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.
Fill in the required fields to see your result.
Key differences
| Linear Regression Calculator | Linear Regression Slope Calculator | |
|---|---|---|
| Category | Statistics | Statistics |
| Inputs required | 5 | 4 |
| Result | Slope (b) | Slope (b) |
| What it does | Fit a least-squares linear regression and read off the slope of the best-fit line y = a + b·x, using summary statistics (n, Σx, Σy, Σxy, Σx²) of paired x and y data. Used for trend analysis, forecasting, and quantifying how much y changes per unit change in x. | 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. |