The data below contains mileage, age, and selling price for a sample of 33 sedans.

Price	Mileage	Age
16,998	35,000	3
17,599	16,000	3
15,998	42,000	3
15,998	61,000	4
11,599	102,000	7
13,998	109,000	4
14,998	60,000	5
11,599	88,000	9
12,599	58,000	8
14,998	27,000	6
15,998	32,000	4

Price	Mileage	Age
11,599	95,000	8
10,499	123,000	8
14,599	54,000	5
10,599	68,000	11
16,998	40,000	4
20,998	7,000	1
11,599	81,000	9
12,599	70,000	6
13,599	86,000	5
11,599	92,000	7
9,599	120,000	10

Price	Mileage	Age
18,998	20,000	2
12,599	63,000	7
12,599	70,000	6
10,998	88,000	10
11,998	86,000	6
12,998	60,000	6
17,599	45,000	2
9,998	96,000	11
9,998	60,000	11
16,998	36,000	2
17,599	45,000	2

Use the estimated regression equation that predicts the selling price of a used sedan given the mileage and age of the car to answer the following questions. (Let x₁ represent the mileage of the car, x₂ represent the age of the car, and y represent the selling price of the car.)

= 20385.250.03739x₁686.3367x₂

(a)Estimate the selling price (in $) of afive-year-old sedan with mileage of50,000miles. (Round your answer to the nearest dollar.)$

(b)Develop a 95% confidence interval for the selling price (in $) of a car with the data in part (a). (Round your answers to the nearest dollar.)$ to $

(c)Develop a 95% prediction interval for the selling price (in $) of a particular car having the data in part (a). (Round your answers to the nearest dollar.)$ to $