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4. The following table presents data on x- the number of oil changes per year and y the cost of repairs for a sample of 10 ca
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Answer #1

d)

correlation is negative

it is strong

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.904534034
R Square 0.818181818
Adjusted R Square 0.795454545
Standard Error 79.0569415
Observations 10
ANOVA
df SS MS F Significance F
Regression 1 225000 225000 36 0.000323393
Residual 8 50000 6250
Total 9 275000
Coefficients Standard Error t Stat P-value Lower 95%
Intercept 673.5294118 51.99314568 12.95419623 1.19425E-06 553.6330028
x -88.23529412 14.70588235 -6 0.000323393 -122.1471196

y^= 673.5294 -88.2353 x

c)

when number of oil change increase by 1 , cost of repair decreases by 88.2353

d)

y^= 673.5294 -88.2353 *7

= 55.8824

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4. The following table presents data on x- the number of oil changes per year and y the cost of repairs for a sample of 10 cars from a given region: Number of oil changes per year (x ost of Repai...
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