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Fit a least-squares line to x, y data: slope, intercept, r, R², the slope's p-value, predictions, and a scatter plot with the fitted line.
Also covers: Linear regression calculator · Line of best fit · R-squared calculator · Correlation coefficient calculator
Separate x and y with a comma, space, or tab — or paste two spreadsheet columns.
Regression line
ŷ = 4.29762x + 47.2857
From 8 points.
R²
0.9896
99% of the variation in y
Correlation r
0.99478
Slope p-value
< 0.0001
t = 23.89, df = 6
Slope
4.29762
SE 0.1799
Intercept
47.2857
Std. error of estimate
1.1658
Scatter plot and fitted line
One pair per line, separated by a comma, space, or tab. Two columns copied from a spreadsheet work as they are.
You get the equation ŷ = mx + b, the correlation r, R², the slope's standard error and p-value, and a scatter plot with the line.
Enter an x value to get the predicted y. Predictions are most trustworthy inside the range of your data.
The share of the variation in y that the line explains. R² = 0.85 means 85% of the variation in y is accounted for by its linear relationship with x.
It tests whether the true slope is zero (no linear relationship), using a t-test with n − 2 degrees of freedom. A small p-value is evidence of a real linear trend.
No. Regression measures association; causation needs an experiment or a careful argument that rules out other explanations.
No. Every calculation runs in your browser, and nothing you enter is sent to a server.
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