Armer Company is accumulating data to use 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 the use of linear regression to derive an equation for maintenance hours and costs Data regarding the maintenance hours and costs for the last year and the results of the regression analysis follow. Feb. Maintenance Machine Month Cost Hours Jan. $ 4,500 600 3,300 440 Mar. 3,900 520 Apr. 3,120 420 May 4,650 620 June 3,260 430 July 3,330 440 Aug. 4.770 660 Sept. 4,560 610 Oct. 4,350 590 Nov. 3,600 470 Dec. 3,460 460 Sum $46,800 6,260 $ $ 3,900 522 Average $ 7.00 Average cost per hour a (intercept) $220.82 b (coefficient) 7.0527 Standard error of the estimate 52.847 8.9935 R-squared 39.130 t-value for b The coefficient of determination for Armer's regression equation for the maintenance activities is Multiple Choice 52.847/95.255 0.9935 square root of 0.9935 10.9935)2 None of these answer choices are correct