Tenused cars from a rental fleet are randomly selected. Each ...

[amymoore]

Ten used cars from a rental fleet are randomly selected. Each vehicle’s annual maintenance cost from the previous calendar year (y) is recorded as well as the vehicle’s current mileage (x). A simple linear regression is conducted on the data.

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The regression equation is

Maint = 297 + 0.00636 Miles

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Predictor    Coef SE       Coef       T       P

Constant       296.6      162.4    1.83   0.105

Miles       0.006357   0.003121    2.04   0.076

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S = 279.775 R-Sq = 34.1% R-Sq(adj) = 25.9%

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Analysis of Variance

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Source            DF       SS      MS      F       P

Regression         1   324727  324727   4.15   0.076

Residual Error     8   626192   78274

Total              9   950919

 

What is an 80% prediction interval for the annual repair cost of a used vehicle with 40,000 miles? (Given: S_xx= 8,036,677,024 and\(\style{font-family:Times New Roman;}{\overline x}\)= $43,627.700.)

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$(144.72, 956.96)

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$(140.67, 961.01)

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$(426.25, 675.43)

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$(427.48, 674.20)

[bigboya]

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[amymoore]

Thanks for the timely response, appreciate it

[parshano]

Wow, this really help