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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
Mean Calculator
Compute the arithmetic mean (average) of any comma-separated list of numbers — the most common measure of central tendency in statistics. The result is the sum divided by the count, equivalent to balancing a see-saw of the data points.
Fill in the required fields to see your result.
Key differences
| Linear Regression Calculator | Mean Calculator | |
|---|---|---|
| Category | Statistics | Statistics |
| Inputs required | 5 | 1 |
| Result | Slope (b) | Mean |
| 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. | Compute the arithmetic mean (average) of any comma-separated list of numbers — the most common measure of central tendency in statistics. The result is the sum divided by the count, equivalent to balancing a see-saw of the data points. |