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jscubs1 jscubs1
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A year ago
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

Textbook 
Introductory Statistics: A Problem-Solving Approach

Introductory Statistics: A Problem-Solving Approach


Edition: 3rd
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david200095367david200095367
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A year ago
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