StandardizedResiduals

As of Version 7.0, StandardizedResiduals has become a property of LinearModelFit and NonlinearModelFit.

is a possible value for the RegressionReport option which represents the list of standardized residuals.

Details and Options

To use StandardizedResiduals, you first need to load the Regression Common Functions Package. You can do this by using Needs["LinearRegression`"] or Needs["NonlinearRegression`"], which will automatically load the Regression Common Functions Package, or you can load the package directly by using Needs["RegressionCommon`"].
StandardizedResiduals gives the fit residuals divided by the standard error for each residual.
StandardizedResiduals is equivalent to FitResiduals/Sqrt[EstimatedVariance (1 - HatDiagonal)].

Wolfram Language code: Needs["LinearRegression`"]

Sample data:

Wolfram Language code:

data = {{0.05, 90}, {0.09, 95}, {0.14, 110}, 
{0.17, 125}, {0.2, 140}, {0.21, 150}, 
{0.23, 175}, {0.25, 190}, {0.3, 210}, 
{0.35, 255}};

StandardizedResiduals for a linear regression:

Wolfram Language code: Regress[data, {1, x^2}, x, RegressionReport -> {StandardizedResiduals}]

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