In: Statistics and Probability
We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles.
g.)For the vehicle that weighs 3000 pounds, find the residual
(y − ŷ).
(Round your answer to two decimal places.) _________
I.)Remove the outlier from the sample data. Find the new correlation coefficient and coefficient of determination. (Round your answers to two decimal places.)
correlation coefficient _____
Correlation of determination _____
Find the new best fit line. (Round your answers to four decimal places.)
ŷ = ______ x + _______
| Weight | Fuel Efficiency |
|---|---|
| 2695 | 25 |
| 2510 | 26 |
| 2680 | 29 |
| 2770 | 38 |
| 3000 | 23 |
| 3410 | 24 |
| 3640 | 20 |
| 3700 | 25 |
| 3880 | 21 |
| 3900 | 21 |
| 4060 | 20 |
| 4710 | 16 |
Independent variable (X) : Weight
Dependent variable (Y) : Fuel efficiency
Following table shows the calculations:
| X | Y | X^2 | Y^2 | XY | |
| 2695 | 25 | 7263025 | 625 | 67375 | |
| 2510 | 26 | 6300100 | 676 | 65260 | |
| 2680 | 29 | 7182400 | 841 | 77720 | |
| 2770 | 38 | 7672900 | 1444 | 105260 | |
| 3000 | 23 | 9000000 | 529 | 69000 | |
| 3410 | 24 | 11628100 | 576 | 81840 | |
| 3640 | 20 | 13249600 | 400 | 72800 | |
| 3700 | 25 | 13690000 | 625 | 92500 | |
| 3880 | 21 | 15054400 | 441 | 81480 | |
| 3900 | 21 | 15210000 | 441 | 81900 | |
| 4060 | 20 | 16483600 | 400 | 81200 | |
| 4710 | 16 | 22184100 | 256 | 75360 | |
| Total | 40955 | 288 | 144918225 | 7254 | 951695 |


The residual is:
(y − ŷ) = 23 - 26.52 = -3.52
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The data pair (2770, 38) is an outlier. Following table shows the calculations after removing outlier:
| X | Y | X^2 | Y^2 | XY | |
| 2695 | 25 | 7263025 | 625 | 67375 | |
| 2510 | 26 | 6300100 | 676 | 65260 | |
| 2680 | 29 | 7182400 | 841 | 77720 | |
| 3000 | 23 | 9000000 | 529 | 69000 | |
| 3410 | 24 | 11628100 | 576 | 81840 | |
| 3640 | 20 | 13249600 | 400 | 72800 | |
| 3700 | 25 | 13690000 | 625 | 92500 | |
| 3880 | 21 | 15054400 | 441 | 81480 | |
| 3900 | 21 | 15210000 | 441 | 81900 | |
| 4060 | 20 | 16483600 | 400 | 81200 | |
| 4710 | 16 | 22184100 | 256 | 75360 | |
| Total | 38185 | 250 | 137245325 | 5810 | 846435 |

