Question

In: Economics

Quantity of Automobile Lube Jobs # Q P # Cars Adv Pr 1 86 30 22.0...

Quantity of Automobile Lube Jobs # Q P # Cars Adv Pr 1 86 30 22.0 500 20 2 87 35 23.0 550 29 3 93 28 23.4 430 31 4 92 25 23.0 400 35 5 86 30 23.6 500 29 6 93 20 24.0 400 30 7 88 29 24.1 300 35 8 89 31 24.5 450 28 9 88 35 25.0 430 25 10 93 29 25.6 500 30 11 87 35 26.0 400 29 12 89 40 26.0 570 31 13 88 47 26.7 520 35 14 82 34 27.3 300 29 15 93 35 28.0 450 35 1. Run the data through Excel Regression - print output (10%)

Solutions

Expert Solution

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.807426944
R Square 0.65193827
Adjusted R Square 0.512713578
Standard Error 2.292032224
Observations 15
ANOVA
df SS MS F Significance F
Regression 4 98.39921619 24.59980405 4.68263395 0.021760031
Residual 10 52.53411715 5.253411715
Total 14 150.9333333
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 63.47704203 11.60067182 5.471841892 0.00027235 37.62913444 89.32494961 37.62913444 89.32494961
P -0.476873378 0.144258693 -3.305682081 0.007936973 -0.798301777 -0.155444978 -0.798301777 -0.155444978
#Cars 0.648949159 0.507981673 1.277505062 0.230284986 -0.482904543 1.78080286 -0.482904543 1.78080286
Adv 0.027216626 0.00955891 2.847252186 0.017331545 0.005918048 0.048515204 0.005918048 0.048515204
Pr 0.417481016 0.165243412 2.526460883 0.030052673 0.04929575 0.785666281 0.04929575 0.785666281

By taking Q as Y(dependent variable for no of jobs) we run the regression by making others independent variables.

To run regression, go to Data> Data Analysis> Regression.

Input the X and Y variables and click OK to obtain results.


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