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	2,200	$	19,050
February	2,600	$	22,300
March	1,600	$	14,150
April	2,800	$	24,300
May	3,500	$	28,900
June	3,000	$	23,300
July	3,800	$	25,400
August	3,200	$	23,400
September	1,700	$	16,800
October	3,400	$	27,300
November	4,400	$	32,300
December	3,900	$	28,400

Summary Output
Regression Statistics
Multiple R	0.958
R Square	0.918
Adjusted R2	0.910
Standard Error	1,572.21
Observations	12.00

	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	6,468.83	1,698.62	3.81	0.00	2,684.06	10,253.60
Machine Hours	5.76	0.54	10.59	0.00	4.55	6.97

If the controller uses regression analysis to estimate costs, the estimate of the fixed portion of electricity costs is: