Evaluate a linear regression for auto-mpg data using 10-Fold CV. Normalization is required before training. First, randomly shuffle the data order, and then split the data into 10 folds (groups) Train a linear model (estimate optimal w1 , w2 ,..., w7 , b) with the 2nd ~ 10th folds, and then evaluate MSE with the first fold (test data).