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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.
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Statistics
Standard Error Calculator
Compute the standard error of the mean (SEM) from the sample standard deviation and sample size, SEM = s/√n. Quantifies how precisely a sample mean estimates the underlying population mean — the foundation of confidence intervals, t-tests, and any inferential statistic.
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Key differences
| Linear Regression Calculator | Standard Error Calculator | |
|---|---|---|
| Category | Statistics | Statistics |
| Inputs required | 5 | 2 |
| Result | Slope (b) | Standard Error |
| 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 standard error of the mean (SEM) from the sample standard deviation and sample size, SEM = s/√n. Quantifies how precisely a sample mean estimates the underlying population mean — the foundation of confidence intervals, t-tests, and any inferential statistic. |