R-squared, also known as the coefficient of determination, measures the proportion of variance in the dependent variable that is predictable from the independent variable(s) in a regression model. It ranges from 0 to 1, where a higher value indicates a better fit of the model to the data, but it does not imply causation or model accuracy in prediction outside the sample data.