The adjusted R-squared is a metric that takes into account the number of independent variables included in the model. The regression analysis model is a good fit for the data, as almost 99% of the values fall within the predicted range.Īdjusted R Square: The value of R^2 is used in multiple variables Regression Analysis instead of R square. In our example, the value of 0.997 is pretty good. An R-squared value of more than 95% is generally regarded as a good fit for a regression model. It indicates how well the data model fits the Regression Analysis. R Square: It symbolizes the Coefficient of Determination.
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