11. (15 pts) toyota.csv include the listings of toyota used cars. Suppose that you are going to buy two toyota used cars and their specifications are

model year transmission mileage fuelType tax mpg engineSize

Car 1 RAV4 2019 Automatic 12345 Diesel 150 25 2

Car 2 Camry 2015 Automatic 50000 Hybrid 130 50 3

(a) Use KNN method with K = 10 to predict the prices. 2

(b) Use KNN method with K = 100 to predict the prices.

(c) According to bias-variance trade-off, which one is going to give higher prediction bias and lower prediction variance? Why? (d) Use a linear regression model to predict the prices. (e) Pick one of the coefficients in the model

(d) to interpret. Which predictors are significantly important? (f) Can you tell which method preforms better in terms of prediction accuracy? KNN or linear regression model?