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Author Question: Tenused cars from a rental fleet are randomly selected. Each vehicles annual maintenance cost from ... (Read 56 times)

warrenjean01

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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:

a simple linear regression model.


a deterministic model.


a generalized linear model.


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.

The regression equation is

Maint = 297 + 0.00636 Miles

Predictor    Coef SE       Coef       T       P

Constant       296.6      162.4    1.83   0.105

Miles       0.006357   0.003121    2.04   0.076

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

Analysis of Variance

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: Sxx= 803,667,7024 and\(\style{font-family:Times New Roman;}{\overline x}\)= $43,627.700.)


CV = 1.8331; TS = 0.1415; fail to rejectH0


CV = 1.8595; TS = 0.02611; fail to rejectH0


CV = 1.8331; TS = 0.2986; fail to rejectH0


CV = 1.8595; TS = 0.3589; fail to rejectH0



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Marked as best answer by warrenjean01 on Feb 26, 2023

3ginamay

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warrenjean01

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Reply 2 on: Feb 26, 2023
Excellent


nanny

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Reply 3 on: Yesterday
Great answer, keep it coming :)

 

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