In October a bike dealer pridicted November demand for 150 hero bikes, actual demand was 161 bikes. Now using a smoothing constant chosen by the organisation of alpha 0.21, the dealer wants to forecast  decemdemand using the exponential smoothing model ?

41) A medium-term forecast is considered to cover what length of time? A) 2-4 weeks B) 1 month to 1 year C) 2-4 years D) 5-10 years E) 20 years 42) When is the exponential smoothing model equivalent to the naïve forecasting model? A) ? = 0 B) ? = 0.5 C) ? = 1 D) during the first period in which it is used E) never 43) Enrollment in a particular class for the last four semesters has been 120, 126, 110, and 130. Suppose a one-semester moving average was used to forecast enrollment (this is sometimes referred to as a naïve forecast). Thus, the forecast for the second semester would be 120, for the third semester it would be 126, and for the last semester it would be 110. What would the MSE be for this situation? A) 196.00 B) 230.67 C) 100.00 D) 42.00 E) None of the above 44) Which of the following methods tells whether the forecast tends to be too high or too low? A) MAD B) MSE C) MAPE D) decomposition E) bias 45) Assume that you have tried three different…

In January a battery dealer pridicts February demand of 2000 2 charger battery whereas the actual demand was 1756 unit of batteries , using a smoothing constant of alpha 0.34, the dealer wishes to forecast the march demand using the exponential smoothing model ?

Please do not give solution in image formate thanku. Bradley's Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that he can schedule service personnel. Use the actual demand in the first period for the forecast for the first week so error measurement begins in the second week. The manager uses exponential smoothing with α ​= 0.5 Forecast the number of calls for week​ 6, which is next week. WEEK ACTUAL SERVICE CALLS 1 28 2 32 3 40 4 27 5 30

Bradley's Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that he can schedule service personnel. Use the actual demand in the first period for the forecast for the first week so error measurement begins in the second week. The manager uses exponential smoothing with a = 0.4. Forecast the number of calls for week 6, which is next week. Week Actual Service Calls 26 2 34 38 4 27 5 35 The forecast for week 6 is service calls. (Enter your response rounded to two decimal places.)

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