The Honda Accord was named the best midsized car for resale value for 2018 by the Kelley Blue Book (Kelley Blue Book website). The file AutoResale contains mileage, age, and selling price for a sample of 33 Honda Accords. Click on the datafile logo to reference the data. DATA File The estimated regression equation is Selling price = 20385.25049 – 0.03739 Mileage – 686.33668 Age Round your answers to the nearest dollar. a. Estimate the selling price of a four-year-old Honda Accord with mileage of 40,000 miles. b. Develop a 95% confidence interval for the selling price of a car with the data in part (a). c. Develop a 95% prediction interval for the selling price of a car with the data in part (a).

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The Honda Accord was named the best midsized car for resale value for 2018 by the Kelley Blue Book (Kelley Blue Book website). The file AutoResale contains mileage, age, and selling price for a sample of 33 Honda Accords.
Click on the datafile logo to reference the data.
DATA file
The estimated regression equation is
Selling price = 20385.25049 – 0.03739 Mileage – 686.33668 Age
Round your answers to the nearest dollar.
a. Estimate the selling price of a four-year-old Honda Accord with mileage of 40,000 miles.
b. Develop a 95% confidence interval for the selling price of a car with the data in part (a).
c. Develop a 95% prediction interval for the selling price of a car with the data in part (a).
Transcribed Image Text:The Honda Accord was named the best midsized car for resale value for 2018 by the Kelley Blue Book (Kelley Blue Book website). The file AutoResale contains mileage, age, and selling price for a sample of 33 Honda Accords. Click on the datafile logo to reference the data. DATA file The estimated regression equation is Selling price = 20385.25049 – 0.03739 Mileage – 686.33668 Age Round your answers to the nearest dollar. a. Estimate the selling price of a four-year-old Honda Accord with mileage of 40,000 miles. b. Develop a 95% confidence interval for the selling price of a car with the data in part (a). c. Develop a 95% prediction interval for the selling price of a car with the data in part (a).
Price
Mileage
Age
16998
35000
17599
16000
15998
42000
3
15998
61000
4
11599
102000
7
13998
109000
4
14998
60000
11599
88000
12599
58000
8.
14998
27000
6.
15998
32000
4
11599
95000
8.
10499
123000
8
14599
54000
10599
68000
11
16998
40000
20998
7000
11599
81000
12599
70000
6.
13599
86000
11599
92000
7
9599
120000
10
18998
20000
2
12599
63000
12599
70000
10998
88000
10
11998
86000
6.
12998
60000
6
17599
45000
9998
96000
11
9998
60000
11
16998
36000
2
17599
45000
2
m3
st
1.
2.
Transcribed Image Text:Price Mileage Age 16998 35000 17599 16000 15998 42000 3 15998 61000 4 11599 102000 7 13998 109000 4 14998 60000 11599 88000 12599 58000 8. 14998 27000 6. 15998 32000 4 11599 95000 8. 10499 123000 8 14599 54000 10599 68000 11 16998 40000 20998 7000 11599 81000 12599 70000 6. 13599 86000 11599 92000 7 9599 120000 10 18998 20000 2 12599 63000 12599 70000 10998 88000 10 11998 86000 6. 12998 60000 6 17599 45000 9998 96000 11 9998 60000 11 16998 36000 2 17599 45000 2 m3 st 1. 2.
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Step 1

Multiple Linear Regression:

It is to model one dependent variable with two or more independent variables to predict the response variable from the explanatory variables. Also in the model, there is the intercept and the slopes of the explanatory variables.

y=β0+β1x1+β2x2+ε.

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