Data are gathered on each car in the motor pool, regardingnumber of miles (in thousand miles) driven in a given year, andmaintenance costs (in thousand dollars) for that year:
Part of the linear regression analysis output are shown inbelow:
Car Number | 1 | 2 | 3 | 4 | 5 |
Miles Driven (x) | 80 | 29 | 53 | 13 | 15 |
Repair Costs (y) | 3.2 | 2.15 | 2.65 | 2.2 | 2.325 |
Construct a 95% confidence interval for the conditional mean ofy given x0=50.
(A) [2.476, 2.879] Â Â (B) [1.538, 2.409] (C) [1.651,2.30] (D) [2.410, 2.908]
Construct a 95% prediction interval at x0=50.
(A) [2.360, 2.996]
(B) [2.064, 3.254]
(C) [1.612, 2.335]
(D) [2.223, 3.132]
