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R-squared, or the coefficient of determination, measures the proportion of variance in the dependent variable that can be explained by the independent variable(s) in a regression model. It ranges from 0 to 1, where 0 indicates that the model explains none of the variability and 1 indicates that it explains all the variability. A higher R-squared value suggests a better fit of the model to the data, but it does not imply causation. Additionally, R-squared should be interpreted in context, as a high value may not always indicate a meaningful or useful model.

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