Question

Made in Japan Yes Yes No No NO No No No No No No No No No No Yes Yes No Yes Yes MPG of 43 Randomly Selected Vehicles Obs $1.0

a. Fit a multiple regression model using all four independent variables. For “made in Japan” variable create an indicator/dummy variable with “not made in Japan” as the reference/baseline group. Provide the equation of the fit line. Interpret the regression model parameters in the context of the problem.

b. What proportion of variability in the dependent variable is explained by the independent variables?

Please do on Excel.

Thanks

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Answer #1

using excel we have

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.838297
R Square 0.702743
Adjusted R Square 0.671452
Standard Error 2.505461
Observations 43
ANOVA
df SS MS F Significance F
Regression 4 563.9264 140.9816 22.45883 1.4E-09
Residual 38 238.5387 6.277334
Total 42 802.4651
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 43.99318 8.476698 5.189896 7.33E-06 26.833 61.15336
Length -0.00387 0.044495 -0.08699 0.931133 -0.09395 0.086205
width -0.10644 0.139471 -0.76316 0.450077 -0.38878 0.175905
weight -0.00413 0.000833 -4.95462 1.53E-05 -0.00581 -0.00244
made in japan -1.32279 0.814564 -1.62393 0.112659 -2.97179 0.326207

estimated mpg= 43.99-0.004 length -0.106 width -0.004 weight -1.323 Made in japan

Interpret the regression model parameters

for one unit increase in length, there is a corresponding 0.004 decrease in mpg.

for one unit increase in width, there is a corresponding 0.106 decrease in mpg.

for one unit increase in weight, there is a corresponding 0.004 decrease in mpg.

if vehicles are made in Japan , there is a corresponding 1.323 decrease in mpg.

Ans b ) 70.27 % variability in the dependent variable is explained by the independent variabl

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