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%)

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.

Rahul Sunny answered 2 years ago

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