The number of domestic and imported retail car sales (in hundreds of thousands) in the United States for a period of 9 years are given in the following table.
Year | Domestic Car Sales | Imported Car Sales |
---|---|---|
Year 1 | 69.8 | 17.2 |
Year 2 | 68.3 | 20.1 |
Year 3 | 63.2 | 21.1 |
Year 4 | 58.8 | 22.4 |
Year 5 | 55.3 | 20.8 |
Year 6 | 53.6 | 21.4 |
Year 7 | 54.8 | 21.9 |
Year 8 | 54.4 | 23.3 |
Year 9 | 52.5 | 23.8 |
(a) Letting x = the number of domestic car sales and y = the number of imported car sales, plot the data.
Do the data exhibit a linear trend?
YesNo
(b) Find the line of best fit. (Round your answers to one decimal
place.)
ŷ = x +
(c) Predict the number of imported car sales when there are
6,000,000 domestic car sales. (Round your answer to one decimal
place.)
hundred thousand car sales
(d) Predict the number of domestic car sales when there are
2,300,000 imported car sales. (Round your answer to one decimal
place.)
hundred thousand car sales
(e) Find the coefficient of correlation. (Round your answer to
three decimal places.)
(f) Are the predictions in parts (c) and (d) reliable? Why or why
not?
Yes, they are reliable since the slope is positive.Yes, they are pretty reliable since the correlation coefficient is relatively close to 1. Yes, they are pretty reliable since the correlation coefficient is relatively close to −1.No, they are not reliable since the slope is negative.No, they are not reliable since the correlation coefficient is close to 0.
The number of domestic and imported retail car sales (in hundreds of thousands) in the United...
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5). a. An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. Click here to view the weight and gas mileage data. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y...
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