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: Month Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Sum Average Maintenance Machine Cost Hours $ 5,100 840 3,900 680 4,500 760 3,720 660 5,250 860 3,860 670 3,930 680 5,370 980 5,160 850 4,950 830 4,200 710 4,060 700 $54,000 9,220 $ 4,500 768 830 710 700 Oct. 4,950 Nov. 4,200 Dec. 4,060 Sum $54,000 Average $ 4,500 Average cost per hour a (intercept) b (coefficient) Standard error of the estimate R-squared t-value for b 9,220 $ 768 $ 6.00 $ 56.74 5.9307 171.887 0.9314 11.648 :7 The coefficient of determination for Armer's regression equation for the maintenance activities is Multiple Choice 171.887/394,339