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R-squared is the proportion of the total sum of squares explained by the model. Rsquared, a property of the fitted model, is a structure with two fields: Ordinary â Ordinary (unadjusted) R-squared. Adjusted â R-squared adjusted for the number of coefficients.
R2 is a statistic that will give some information about the goodness of fit of a model. In regression, the R2 coefficient of determination is a statistical measure of how well the regression line approximates the real data points. An R2 of 1.0 indicates that the regression line perfectly fits the data.