RSquared

As of Version 7.0, RSquared has become a property of LinearModelFit.

RSquared

is a possible value for the RegressionReport option for Regress and DesignedRegress which represents the coefficient of determination R².

Details and Options

To use RSquared, you first need to load the Regression Common Functions Package. You can do this by using Needs["LinearRegression`"], which will automatically load the Regression Common Functions Package, or you can load the package directly by using Needs["RegressionCommon`"].
RSquared is the ratio of the model sum of squares to the total sum of squares.
RSquared gives the fraction of the variation of the response that is predicted by the model.

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}};

RSquared for a linear regression:

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

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