The Armer Company is accumulating data to be used in preparing its annual profit plan for the coming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff has suggested that linear regression be employed to derive an equation in the form of y = a + bx for maintenance costs. Data regarding the maintenance hours and costs for last year and the results of the regression analysis are as follows:

	Hours of Activity		Maintenance Costs
January	510		$ 4,200
February	300		2,900
March	410		3,700
April	290		2,960
May	510		4,330
June	300		2,920
July	300		3,010
August	530		4,630
September	480		4,100
October	480		3,940
November	340		3,200
December	360		3,280
Sum	4,810		43,170
Average	401		3,598

A coefficient			1,014.92
B coefficient			6.4430
Standard error of the a cofficient	127.220
Standard error of the a cofficient	0.30937
Standard error of the estimate			98.460
R2			0.97746
T-value a			7.978
T-value b			20.826

Using the high-low method to estimate cost behavior, 410 maintenance hours in a month would mean the maintenance costs would be budgeted at: (Round your intermediate calculations and final answer to 2 decimal places.)

	$3,902.00.
	$3,280.00.
	$3,598.00.
	$3,795.20.