Mendota Foods sells a variety of food products around the world. The company engages directly with individuals with an interest in cooking by offering ideas and recipes in various staff blogs and podcasts. The management team at Mendota believes this drives brand loyalty and allows Mendota to charge a premium for its products.

One initiative that Mendota has been running for the last three years is a call center with staff who can provide help and answer questions about cooking in general and Mendota products in particular. The chief financial officer is interested in learning more about the costs of this initiative and how they vary with the demands placed on the center. To help answer the question, the financial staff have collected call center volume (number of calls) and call center cost for the last 12 months.

During a discussion of those results, one of the cost analysts suggests that length of the calls (total hours) is probably a better driver of call center costs. The managers asked the analyst to collect the information and report on how it should be used. The combined data follow:

Month	Number of Calls	Hours	Call Center Costs
1	$61,250	16,110	$288,210
2	67,200	17,190	268,145
3	60,300	16,050	238,550
4	62,050	14,550	244,565
5	45,300	12,670	182,750
6	74,200	20,050	280,740
7	52,150	13,230	252,760
8	65,650	17,590	282,845
9	77,550	21,200	314,975
10	45,300	10,450	153,725
11	66,750	18,510	292,460
12	69,950	18,870	271,935

Using the results of a multiple regression of call center costs on call center calls and call center time (hours), input the following:

e-1. Enter the regression coefficients.

e-2. Estimate the call center cost in a month of 62,750 calls and 16,500 hours of call center time (hours) using the results of a multiple regression of call center costs on call center calls and call center time (hours).