Consider your answers to parts b. and c. Based on the types of variables being used, what would be appropriate model-fitting methods to apply? Check all that apply. A. Robust Regression B. Multiple Linear Regression C. k-Nearest-Neighbors D. Tree Methods (including randomForest and xgboost) E. Logistic Regression F. Linear or Quadratic Discriminant Analysis G. Penalized Regression