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Chapter 4 CASE SCENARIO: BOULEVARD INDUSTRIES Boulevard Industries has decided to provide safety training to its 1,500+ employees who work in the Boulevard main office. Part of this training is a 60 -minute presentation by a member of the Boulevard human resources (HR) department and is held in a conference room at the main office build- ing. Boulevard plans to complete this process by holding five sessions a day on Thursdays (Th) and Fridays (F) cach week for the next 4 months. During the first week of sessions, the HR department recorded the follow-ing information concerning attendance. Questions 1. During this first week of sessions, what was the mean crror of the HR departmeat's forecasts (ME)? What Was the mean absolute deviation (MAD)? What was the meartmeat's forccasts: cror (MAPE)? 2. Assume that the HiR department's forecast for the Tbursday 9 a.m. session was 10 , as shown Questions 1. Daritgg this first week of sessions, what was the mean error of the HR department's forecasts (ME)? What was the mean absolute deviation (MAD)? What was the mean absolute percent etror (MAPB)? 2. Assume that the HR department's forecast for the Thursday 9 a.m. session was 10 , as shown in the table. If HR had used simple exponential smoothing with an alpha () of 0.2 to forecast the remainder of the sessions that werk, what woald the fore-cast for the Friday 9 a.m. session have been? 3. Someone in HR noticed that overall attendasce on Friday was somewhat less than on Tharsday and believes this pattern will continue. Calcalate the two sessonal rela- tives that express this fluctuation, based on this data. 4. Usingyouranswerfromquestion3 how many people would you forecast to attend next Friday's sessions, if a total of 100 people were forecast to attend all 10 sessions next week