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Adjusted R Squared Clearly Explained

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Looking to learn about Adjusted R Squared? Adjusted Rsquared is a statistical measure that compares the fit of a model to the average of all possible models. It is a modified version of Rsquared that accounts for the number of predictors in the model. A higher adjusted Rsquared indicates a better fit of the model to the data. It also penalizes the addition of unnecessary variables to the model. Adjusted Rsquared values can range from 0 to 1, with values closer to 1 indicating a better fit. Learn more in this video!

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