Assume that the data set has n rows, and p variables are included in a linear regression model. k-Fold Cross-Validation is often the desired cross-validation process to use because: Group of answer choices It provides n estimates of the model error which helps with accuracy. The model error estimates provided by k-fold cross-validation are less correlated than in LOOCV. It takes about the same computation time. The models that it uses to estimate the errors use a greater proportion of the data than LOOCV. Exactly two answers are correct. None of the answers are correct