Linear regression calculator

Fit the least-squares line y = intercept + slope × x for paired numeric data.

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Linear regression calculator processes your input in this browser. Inputs and results are excluded from analytics. Recent tools save tool names, visit counts and last-visit times. Saved tools store only their names. Draft saving is optional and stays on this device; delete saved text with the draft controls. Loading text from a URL is optional and contacts that server; its URL and your IP address are visible to the server. An optional “Use in” action keeps a handoff in this tab. The next tool removes it on arrival and ignores it if more than a minute has passed.

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Spaces separate values; 1,000 is one value.

Predictor x values

Response y values

Answer

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Fit the least-squares line y = intercept + slope × x for paired numeric data.

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Precision and calculation record

Decimal places in numeric results and text downloads

Rounding changes displayed numbers, not the calculation. Text, fractions, matrices and CSV schedules keep their own formatting. Automatic keeps up to 12 significant digits, with money shown to cents where applicable.

Saved scenario

Save the current answer, then change an input to compare. This clears when you leave.

Formula and assumptions

This fits an intercept and one predictor. It reports fit, not causation or prediction intervals. Check the scatter pattern and residual assumptions before using the line to forecast.

In a list, use spaces, new lines, semicolons, or commas followed by a space. A comma between groups of three digits is a thousands separator.

Automatic precision shows numbers to 12 significant digits. Thousands separators such as 1,000 are accepted; use a dot for decimals.

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Updated 2026-09-26

Using Linear regression calculator

Fit the least-squares line y = intercept + slope × x for paired numeric data.

This fits an intercept and one predictor. It reports fit, not causation or prediction intervals. Check the scatter pattern and residual assumptions before using the line to forecast.

Next: Basic calculator

A worked example

With predictor x values = 1 2 3, response y values = 3 5 7, the slope is 2.

Before you use the result

This fits an intercept and one predictor. It reports fit, not causation or prediction intervals. Check the scatter pattern and residual assumptions before using the line to forecast.

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