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13. An automobile manufacturer has 20 franchised dealers in a large metropolitan area. To study factors influencing the amount of customer traffic, data were collected

13.

An automobile manufacturer has 20 franchised dealers in a large metropolitan area. To study factors influencing the amount of customer traffic, data were collected on customer traffic per week, the amount of newspaper and TV advertising by each dealer (shown in $100s), the size of their physical facilities (in acres), and the location of the dealership (Urban, Suburban or Rural). .

Assume that the regression analysis resulted in the following results. (Note that a different data set was used to find these results than for earlier problems where the data were given.)

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.905
R Square 0.819
Adjusted R Square 0.770
Standard Error 36.292
Observations 20
ANOVA
df SS MS F Significance F
Regression 4 89114.89 22278.7 16.915 1.9709E-05
Residual 15 19756.91 1317.1
Total 19 108871.80
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept -47.840 54.582 -0.876 0.395 -164.179 68.499
Advertising ($100s) 0.689 0.368 1.870 0.081 -0.096 1.474
Size (Acres) 167.273 21.465 7.793 0.000 121.521 213.025
Suburban 77.075 22.958 3.357 0.004 28.141 126.008
Urban 112.073 23.191 4.833 0.000 62.642 161.504

All other things being equal, how much do you estimate the traffic will change for a one-unit increase in size?

Group of answer choices

112.07

119.43

0.689

77.08

167.27

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