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THE FEUTEX TOOLKIT

Cook Distance for One Observation

Estimate regression influence from residual, leverage, parameter count, and residual mean square.

Statistics workspace● Runs in your browser
01 Your input
02 Your result
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FormulaCooks D = e**2*h/(p*mse*(1-h)**2); Studentized Internal = e/sqrt(mse*(1-h))
Sources and model references

Made for real tasks

  • Estimate regression influence from residual, leverage, parameter count, and residual mean square.
Explore step-by-step workflows →

Worked example

Inputs

Residual
3 number
Leverage
0.2 fraction
Fitted parameter count
3 count
Residual mean square
4 number

Expected results

Cooks D
0.234375 number
Studentized Internal
1.677050983 number

Load the example in the workspace to reproduce these results. Display rounding does not change the underlying calculation.

How to use this tool

  1. Enter residual, leverage, fitted parameter count, residual mean square.
  2. Use the displayed units and confirm the model assumptions.
  3. Calculate and compare the outputs against your input scenario.

Try this example

{
  "e": 3,
  "h": 0.2,
  "p": 3,
  "mse": 4
}

Accuracy and scope

Ordinary least squares diagnostic with parameter count including intercept. No universal cutoff or automatic outlier deletion.

Is my data uploaded?

This tool runs locally in your browser. Input and output are not sent to a processing server. Copy or download your result before leaving the page.