Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow:

Month	Machine Hours	Electricity Costs
January	2,700	$	18,500
February	3,100	$	21,200
March	2,100	$	13,600
April	3,300	$	23,200
May	4,000	$	28,350
June	3,500	$	22,200
July	4,300	$	24,850
August	3,700	$	22,850
September	2,200	$	15,700
October	3,900	$	26,200
November	4,900	$	31,200
December	4,400	$	27,850

Summary Output
Regression Statistics
Multiple R	0.965
R Square	0.930
Adjusted R2	0.923
Standard Error	1,443.07
Observations	12.00

	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	2,728.64	1,800.97	1.52	0.16	(1,284.17)	6,741.44
Machine Hours	5.77	0.50	11.56	0.00	4.66	6.88

The percent of the total variance that can be explained by the regression is: