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2.73 points References PA 15-1 (Static) Two servers in a restaurant predict how many guests... Two servers in a restaurant predict how many guests will come for dinner in the next four days. Each server's predictions, along with the actual number of guests for each day, are shown in the table below. a. Complete the table below. What are the MSE and the MAE for the two servers? Indicate negative numbers by a minus sign. Server 1 Server 2 Sewer 1 Sewer 2 Forecast Squared Absolute Forecast Squared Absolute Actual Prediction Prediction Error . . Error Error b. Who has the bigger forecast bias? 2 PA 15-2 (Static) A police station had to deploy a police officer... A police station had to deploy a police officer for an emergency multiple times in the last four evenings. The table below shows the number of emergencies each evening. 2.73 points Weekday Number of calls each day Monday 7 Tuesday 4 Wednesday 8 eBook Thursday 11 What would be their forecast for Friday using a naive forecasting approach? Hint Forecast for Friday calls Ask Print References3 PA 15-3 (Static) A police station had to deploy a police officer... A police station had to deploy a police ofcer for an emergency multiple times in the last four evenings. The table below shows the number of emergencies each evening. 2.73 points Weekday Number of calls each day Monday Tuesday El 93\" Thursday 11 (Round your answer to 1 decimal place.) 3 What would be their forecast for the emergencies on Friday using a two-day moving average approach? Forecast for Friday calls Print References 4 PA 15-4 (Static) A police station had to deploy a police officer... A police station had to deploy a police ofcer for an emergency multiple times in the last four evenings. The table below shows the number of emergencies each evening. 2.73 points (Round your answers to 3 decimal places.) Forecast for tomorrow !| Weekday Number of calls each day (calls) ijok Monday , Tuesday Ask Wednesday Thursday 1!! P. "m Complete the "Forecast for tomorrow" column in the table above. Use an exponential smoothing ' forecasting approach, with a=0.3 and a forecast for Monday of 9. Fl References (Round your answer to 3 decimal places.) b What would be their forecast for Friday using the same exponential ' smoothing forecasting approach? 5 PA 15-5 (Static) My App is a small but growing start-up that sees... My App is a small but growing start-up that sees demand for several of its apps increasing quickly. The table below shows the last six months of downloads. Use a forecast for the first month of 220,000, an initial trend forecast of 40,000, and smoothing parameters of 0.25 for both demand smoothing and trend smoothing. 2.73 points Month (t) Monthly Application Downloads Forecast for Next Month Trend 220,000.00 40,000.00 AI 1 235.000 _ am 2 290,000 _ 3 336.000 _ 9 4 390,000 _ A5\" 5 435.000 _ _ 6 498.000 _ 1!! Print (Round your answers to 2 decimal places.) \"i a Complete the table above, lling in the "Forecast for next month" and "Trend" columns, using double References ' exponential smoothing. (Round your answers to 2 decimal places.) b. Month 7's forecast is: 6 PA 15-6 (Static) La Villa is a ski resort in the Italian... La Villa is a ski resort in the Italian Alps. Many guests visit the town; however, most of them come in the winter season because of the phenomenal skiing. A group of hotels has analyzed their demand for the last three years. Fill in the table below. Using a smoothing parameter of 0.25 and an initial forecast of 17,000, forecast demand for the first four quarters in 2015. 2.73 points (Round Seasonal Index to 3 decimal places and all the other answers to 2 decimal places.) Season Seasonal Deaseasonalized Smoothed Forecast Re-seasonalized Year Qtr Demand Quarter Average Index Demand Demand Forecast eBook 2012 1 22, 100 2015Q1 2 14,900 IN 2015Q2 3 2015Q3 Ask 3 13,700 4 19,000 4 2015Q4 2013 1 20, 100 Overall Print 2 17,000 3 16,500 4 18,700 References 2014 1 23,400 2 12, 100 3 13,200 4 19,7007 PA 15-7 (Static) Mary, Susan, and Sarah are running a beach... Mary, Susan, and Sarah are running a beach boutique on the board walk of Ocean City. Their favorite product is a red lifeguard hoody. Mary believes it will sell 340 times next season. Susan forecasts sales of 522, and Sarah forecasts 200. 2.73 points What would be the result of a simple forecast combination? eBook Ask Print ReferencesTB MC Ou. 15-36 A store has the following demand... A store has the following demand gures for the last four years: 2.73 points eBZOk Given a demand forecast for year 2 of 100, a trend forecast for year 2 of 10, an alpha of 0.3, and a beta of 0.2, what is the demand forecast for year 3 using the double exponential ' smoothing method? Ask IE! Print Multiple Choice References 0 115 120 130 O O 125 O TB MC Ou. 15-37 A store has the following demand... 9 A store has the following demand gures for the last four years: 2.73 points eBk Given a demand forecast for year 2 of 100, a trend forecast for year 2 of 10, an alpha of 0.3, and a beta of 0.2, what is the demand forecast for year 5 using the double exponential smoothing method? Ask Multiple Choice Print References 0 134 184 O O 166 O 1 0 TB MC Ou. 15-41 Company A is providing technical support... Company A is providing technical support for smartphone users. It sees most of its demand during the evening hours of the day. The demand for its support services for the last three days was as follows: Pint5 Time of Demand (in 1 ' l__ a. s _\" References What is the seasonal index for morning? Multiple Choice 0 1.57 Q 100 1O 2 2.73 3 What is the seasonal index for morning? ' Multiple Choice Print O 157 References 100 0.52 O O 0.92 O 11 TB MC Qu. 15-44 Company A is providing technical support... Company A is providing technical support for smartphone users. It sees most of its demand during the evening hours of the day. The demand for its support services for the last three days was as follows: 2.73 points Time of Demand (in Day day thousands) 1 Morning 42 Afternoon 75 eBook Evening 125 2 Morning 35 Afternoon 88 Ask Evening 110 3 Morning 52 Print Afternoon 65 Evening 155 References Using a smoothing parameter of 0.25 and an initial forecast of 80, and rounding all intermediate calculations to 2 decimal places, what is the forecast demand for the morning of day 4? (Round your final answer to whole number.) Multiple Choice O 78 O 80 Mc2 Morning 35 IAfternoon 88 11 Evening 110 3 Morning 52 Afternoon 65 2'73 Evening 155 points Using a smoothing parameter of 0.25 and an initial forecast of 80, and rounding all intermediate calculations to 2 decimal places, what is the forecast demand for the morning of day 4? (Round your final answer to whole number.) eBook ' Multiple Choice Ask Print 0 78 References 80 O O 51 O