1. The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends on many factors, including the model year, mileage, and condition. To investigate the relationship between the car's mileage and the sales price for Camrys, the dataset Camry shows the mileage and sale price for 19 sales. (20 points).

1. Develop a scatter chart for these data with miles as the independent variable. What does the scatter chart indicate about the relationship between price and miles? (5 points).
2. Develop an estimated regression equation showing how price is related to miles. What is the estimated regression model? (5 points).
3. Test whether each of the regression parameters 0 and 1 is equal to zero at a 0.01 level of significance. Interpret the estimated regression parameters? (5 points).
4. How much of the variation in the sample values of price does the model estimated in part (b) explain? (5 points).

Miles (1000s)	Price ($1000s)
22	16.2
29	16.0
36	13.8
47	11.5
63	12.5
77	12.9
73	11.2
87	13.0
92	11.8
101	10.8
110	8.3
28	12.5
59	11.1
68	15.0
68	12.2
91	13.0
42	15.6
65	12.7
110	8.3