Description
Introduction
Homework problems are selected from the course textbook: An Introduction to Statistical Learning.
Problem 1 (7 points)
Chapter 6, Exercise 3 (p. 260).
Problem 2 (7 points)
Chapter 6, Exercise 4 (p. 260).
Problem 3 (7 points)
Chapter 6, Exercise 9 (p. 263). Don’t do parts (e), (f), and (g).
Problem 4 (7 points)
Chapter 7, Exercise 1 (p. 297).
Problem 5 (7 points)
Chapter 7, Exercise 8 (p. 299). Find at least one non-linear estimate which does better than linear regression, and justify this using a t-test or by showing an improvement in the cross-validation error with respect
to a linear model. You must also produce a plot of the predictor X vs. the non-linear estimate ˆf(X).
Problem 6 (7 points)
Chapter 9, Exercise 1 (p. 368).
Problem 7 (8 points)
Chapter 9, Exercise 8 (p. 371).
1
