(a)
Independent variable (x): cars
Dependent variable (Y): revenue
Following is the scatter plot:
(b)
First option is correct.
(c)
Following table shows the calculations:
X | Y | X^2 | Y^2 | XY | |
11.5 | 120 | 132.25 | 14400 | 1380 | |
10 | 135 | 100 | 18225 | 1350 | |
9 | 102 | 81 | 10404 | 918 | |
5.5 | 39 | 30.25 | 1521 | 214.5 | |
4.2 | 40 | 17.64 | 1600 | 168 | |
3.3 | 32 | 10.89 | 1024 | 105.6 | |
Total | 43.5 | 468 | 372.03 | 47174 | 4136.1 |
(d)
The slope is 13.116. It shows that for additional 1000 car placed in service, revenue is increased by $13.116 * 1000000 = $13116000. That is for each additional car revenue is increased by $13116.
Answer: $13116
(e)
We need to predict value for X = 11. The predicted value y is
Answer: $127 million
My Not Companies in the U.S. car rental market vary greatly in terms of the size...
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