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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.
If the modelâs R-squared is 75%, the standard deviation of the errors is exactly one-half of the standard deviation of the dependent variable. Now, suppose that the addition of another variable or two to this model increases R-squared to 76%.