As a facilities supervisor, you would like to be able to estimate maintenance costs using machine hours as the cost driver. To do this, you perform a linear regression with machine hours as the independent (X) variable, and maintenance costs as the dependent (Y) variable. This results in the following output:

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.908881
R Square	0.894012
Standard Error	752.6137
Observations	28
ANOVA
	df	SS	MS	F	Significance F
Regression	1	69942828	69942828	123.4807	2.26E-11
Residual	26	14727112	566427.4
Total	27	84669940
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	980.635	435.8579	2.892274	0.007632	364.7019	2156.539	364.7019	2156.539
Machine Hours	17.360	1.339521	11.11219	2.26E-11	12.13158	17.63842	12.13158	17.63842

A. What percentage of the variation in maintenance costs can be explained by machine hours?

B. How much maintenance cost should we expect if a factory has zero (0) machine hours?

C. By how much should we estimate maintenance costs to increase for every one hour increase in machine hours?

Label and place your final answer for A-C.