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Regression diagnostics

Keep X and Y in the same observation order.

Durbin–Watson: —

Fill in the fields above — the result is computed on this page.

Observations
—
Intercept
—
Slope
—
MSE
—
Influential points
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Large residuals
—
Cook threshold
—

Residuals versus fitted values

Look for structure, changing spread and isolated points.

Observation diagnostics

No. X Y Predicted Residual Std. residual Leverage Cook D Flag
Fill in the fields above — the result is computed on this page.
What these numbers mean
  • Cook D above 4/n is a screening flag.
  • Durbin–Watson is meaningful only in observation order.

The tool fits one predictor and does not replace subject-matter validation, cross-validation or a full time-series model.

How to use this page
  1. Paste paired observations.
  2. Inspect the residual plot and flagged rows.

What this page does not do: The tool fits one predictor and does not replace subject-matter validation, cross-validation or a full time-series model.

Further reading

Diagnostics identify observations and residual patterns that deserve review after fitting a simple linear model.

Frequently asked questions

Does a flagged point have to be removed?

No. Investigate data quality and model specification first.

See also

← All calculators

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