Regression Statistics
Multiple R	0.945118787
R Square	0.893249521
Adjusted R Square	0.857666028
Standard Error	330.4090747
Observations	5
ANOVA
	df	SS	MS	F	Significance F
Regression	1	2740489.53	2740489.53	25.10291836	0.015305995
Residual	3	327510.47	109170.1567
Total	4	3068000
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	2649.464867	603.2802742	4.391764459	0.021872547	729.5577876	4569.371947	729.5577876	4569.371947
X Variable 1	0.798510935	0.159374473	5.010281266	0.015305995	0.291310233	1.305711637	0.291310233	1.305711637

Required:

Please round all answers to the nearest penny.

Copy of

Goofy Moving Company documented the miles driven and total moving van costs for the past five months as follows:

	Number of miles	Total vehicle costs
January	3,000	4,800
February	4,800	6,500
March	3,750	6,100
April	2,250	4,000
May	3,000	6,000

In order to budget total vehicle costs for the upcoming summer months, Reliable wishes to estimate total vehicle costs. Regression output:

PELASE SHOW ALL WORK

B. Using the regression output, determine the estimated total vehicle costs if the company expects to drive 9,000 miles in June.

C. Why are the answers to A & B different? Why would a manager choose one equation over another?

D. How accurate is the model calculated in equation B?