Azure Company's budgeted factory overhead is $150,000. Direct labor hours were predicted as 35,000 hours. Additional data are as follows: Assume that the actual year-end factory overhead cost was $150,000 and it took an average of one direct labor hour to make one finished unit. Using the normal factory overhead rate calculated at the beginning of the period and rounded to the nearest penny, the calculated gross profit is $ $420,600$525,000$424,800$428,400 The role of data analytics in cost management includes asking all but which of the following questions? What am I measuring? Why am I measuring it? Why do we have nonproduction costs? Which analytical method should be employed in my analysis