Accu-Copiers, Inc., sells and services the Accu-500 copying machine. As part of its standard service contract, the company agrees to perform routine service on this copier. To obtain information about the time it takes to perform routine service, Accu-Copiers has collected data for 11 service calls. The data and Excel output from fitting a least squares regression line to the data follow on the next page. Service Number of Copiers Number of Minutes Copiers Line Fit Plot Call Serviced, X Required, y 200 109 58 150- 138 189 Minute 100 + 37 82 103 Minutes = 11.4641 + 24.6022*Copiers 134 68 Copiers 112 154 DS SrvcTime a. Use Excel to run the simple linear regression. b. Find the least squares point estimates bo and bj on the computer output and report their values. Interpret bo and bi. Does the interpretation of bo make practical sense? c. Use the least squares line to compute a point estimate of the mean time to service four copiers and a point prediction of the time to service four copiers on a single call. d. Find SSE and s on the computer output and report their values. e. Find Sb, and the t statistic for testing the significance of the slope on the output and report their values. Show (within rounding) how t has been calculated by using by and $b, from the computer output. f. Using the t statistic and an appropriate critical value, test Ho: 1 = 0 versus Ha: Bi # 0 by setting a equal to .05. Is the slope (regression relationship) significant at the .05 level? g. Using the t statistic and an appropriate critical value, test Ho: 1 = 0 versus Ha: Bi # 0 by setting a equal to .01. Is the slope (regression relationship) significant at the .01 level? h. Find the p-value for testing Ho: 1 = 0 versus Ha: 1 #0 on the output and report its value. Using the p-value, determine whether we can reject Ho by setting a equal to .10, .05, .01 and .001. How much evidence is there that the slope (regression relationship) is significant