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Kevin wants to forecast the number of customers at a Starbucks store tomorrow. His forecast today is 560 customers, while the actual number of customers
Kevin wants to forecast the number of customers at a Starbucks store tomorrow. His forecast today is 560 customers, while the actual number of customers today is 700 . Which of the following statements is INCORRECT if Kevin's forecast tomorrow is based on the exponential smoothing method? The forecast should be greater than or equal to today's forecast. The forecast is 630 if =0.5. The forecast should be increasing in the weight . The forecast should be greater than or equal to the forecast based on the nave method. QUESTION 8 Sean is making demand forecasts using the exponential smoothing method. To find a proper smoothing factor , he examines the demand over the past three days (Day 1 to Day 3 ), which are 41,43,41. He wants to choose a weight , which has the smallest mean squared error for the demand forecasts from Day 1 to Day 3 , given that the demand forecast on Day 1 is 40 . Which of the following weights should he consider? - Hint 1: You need to calculate the forecasted demand on Days 2 and 3 in each of the scenarios, then calculate the mean squared error based on different . - Hint 2: The demand forecast on Day 1 is 40 , resulting in the forecast error =4041=1. =0.2=0.4=0.6=0.8 forecasted demand today is 60 , and the forecasted trend for today is -2 . The actual demand for today is 52 . What is her forecasted trend for tomorrow? 4.243.322.641.44 QUESTION 10 demand for Year 2023 is forecasted to be 3747. What is the forecasted demand for Fall 2023 based on the smooth average demand? 3619370038634051
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