Compare calculators

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

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.

Sum of X Values

Sum of Y Values

Sum of XY Products

Sum of X²

Number of Data Points

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Statistics

Variance Calculator

Compute population or sample variance from the sum of squared deviations and the sample size. The fundamental measure of how spread out a dataset is around its mean, and the building block of standard deviation, ANOVA, and most parametric inference.

Number of Values

Sum of Squared Deviations

Variance Type

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Key differences

	Linear Regression Calculator	Variance Calculator
Category	Statistics	Statistics
Inputs required	5	3
Result	Slope (b)	Variance
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 population or sample variance from the sum of squared deviations and the sample size. The fundamental measure of how spread out a dataset is around its mean, and the building block of standard deviation, ANOVA, and most parametric inference.