Evaluating a Regression ModelWhich of the following statements about R squared is false?Adjusted R squared is similar to R squared but penalizes features with little predictive powerR squared is the covariance between the X and Y variablesR squared is a relatively simple metric, which shows us the $\%$ of variability in Y that is explained by XAdding too many features can result in R squared being unreliable