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Week Day 1 2 3 4 SUN 10 12 8 13 MON 24 25 21 29 TUE 31 30 35 34 WED 26 32 28 33 THU 59 50 51 49 FRI 61 60 69 65 SAT 54 52 51 58 Fina's Lunchtime Bistro has tracked the number of meals served at lunchtime over the last four weeks to get a good feel for the schedule over the next two weeks A) Analyze the data. What do you see? (i.e.: trend, seasonality, cycles) B) Use the data to determine the week 5 and 6 forecast for the restaurant, assuming that projected weekly number of meals will be 325 in week 5 (holiday week) and 260 in week 6 (based on relevant previous data). Week Day 1 2 3 4 SUN 10 12 8 13 MON 24 25 21 29 TUE 31 30 35 34 WED 26 32 28 33 THU 59 50 51 49 FRI 61 60 69 65 SAT 54 52 51 58 Fina's Lunchtime Bistro has tracked the number of meals served at lunchtime over the last four weeks to get a good feel for the schedule over the next two weeks A) Analyze the data. What do you see? (i.e.: trend, seasonality, cycles) B) Use the data to determine the week 5 and 6 forecast for the restaurant, assuming that projected weekly number of meals will be 325 in week 5 (holiday week) and 260 in week 6 (based on relevant previous data).
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