While R-Squared describes the proportion of variance explained by the model, ________ adjusts this value based on the number of predictors, providing a more nuanced understanding of the model's fit.

Adjusted R-Squared is an extension of R-Squared that adjusts the value based on the number of predictors in the model. While R-Squared describes the proportion of variance explained by the model, Adjusted R-Squared takes into account the complexity of the model by considering the number of predictors. This leads to a more nuanced understanding of the model's fit, particularly when comparing models with different numbers of predictors.