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: January February March April May June July August September October November December Hours of Activity 510 310 420 280 510 260 340 520 500 470 370 350 Maintenance Costs $ 4,400 3,000 3,400 2,840 4,350 2,990 2,950 4,610 4,330 3,920 3,100 3,060 Sum Average 4,840 403 42,950 3,579 852.03 6.7615 A coefficient B coefficient Standard error of the a cofficient Standard error of the a cofficient Standard error of the estimate 277823 0.67136 215,323 R2 AA September October November December 500 470 370 350 4,330 3,920 3,100 3,060 Sum Average 4,840 403 42,950 3,579 852.03 6.7615 277.823 0.67136 A coefficient B coefficient Standard error of the a cofficient Standard error of the a cofficient Standard error of the estimate R2 T-value a T-value b 215.323 0.91026 3.067 10.071 Using the high-low method to estimate cost behavior, 520 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.) $4,360.00 $4,609.80. O $3,579.00 $3,060.00