Adjusted R-squared is a statistical metric used to determine the goodness of fit of a regression model, adjusting for the number of predictors in the model. Unlike the regular R-squared, it accounts for the number of independent variables, preventing overestimation of the model's explanatory power when unnecessary predictors are included.