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

[warrenjean01]

Question 1

Suppose\(\style{font-family:Times New Roman;}{y_i=\beta_0+\beta_1x_i+E_i}\), where\(\style{font-family:Times New Roman;}{E_i\;\sim\;N(0,\sigma^2)}\). This is:

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a simple linear regression model.

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a deterministic model.

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a generalized linear model.

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a deterministic relationship.

Question 2

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

Conduct a test of hypothesis to see if there is sufficient evidence to conclude that used vehicles with 22,500 miles will have a mean annual maintenance cost that exceeds $400. Select the appropriate critical value (CV), test statistic (TS), and decision. (Use α = 0.05). (Given: S_xx= 803,667,7024 and\(\style{font-family:Times New Roman;}{\overline x}\)= $43,627.700.)

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CV = 1.8331; TS = 0.1415; fail to rejectH₀

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CV = 1.8595; TS = 0.02611; fail to rejectH₀

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CV = 1.8331; TS = 0.2986; fail to rejectH₀

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CV = 1.8595; TS = 0.3589; fail to rejectH₀

[3ginamay]

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[warrenjean01]

Excellent

[aliotak]

Thanks for the timely response, appreciate it