65) Demand for a company's product is normally distributed with a mean of 50 and a standard deviation of 10. What is the coefficient of variation of its demand forecast? A) 0.2 B) 5 C) 10 D) 50

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Use the data set below to answer the following questions: [Gunakan set data di bawah untuk menjawab soalan-soalan berikut:] Table 1: Monthly sales unit IJadual 1: Unit jualan bulanau) Month Sales Units [Bulan] 1 [Unit Jualan] 1100 2 1200 3 1450 4 1800 2100 2700 i) Calculate the three-period simple moving average forecasts for months 4, 5 and 6. (Hitunskau rawalan pALata bergerak nudak weNEgUrakan empat-tenroh untuk bulau 5 dan 6.) Calculate the four-period weighted moving average forecasts for months 5 and 6 usıng weights of 0.05, 0.15, 0.30, and 0.50 from the earliest period to the latest period, respectively.

B. The following table shows the number of televisions sold over the last ten years at a local electronic store. year TV sales 1 150 2 300 3 480 4 600 5 630 6 640 7 700 8 825 9 900 10 980 i. Using the trend projection, develop a formula to predict sales for years 11 and 12. Develop a table to calculate the slope and intercept.    Please Show All Working. Use that formula to forecast television sales for years 11 and 12

1. Favors Distribution Company purchases small imported trinkets in bulk, packages them, and sells them to retail stores. They are conducting an inventory control study of all their items. The following data for the year 2006 are for one such item, which is not seasonal. [10 Points] Month Sales Jan Feb 18 19 Mar Apr May Jun 17 21 20 19 Jul 20 Aug 23 a. Use trend projection to estimate the relationship between time and sales (state the trend line equation in this problem). b. Calculate forecasts for February 2007, April 2007, and February 2008

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The K&R Camera shop sells all the latest cameras and accessories. To meet customer demand, the manager must forecast demand for items she sells. Lately the XR-42S zoom lens has been very popular. Recent monthly demand for this item has been as shown: Number of Lenses Month Sold 1 12 17 2 3 4 15 20 18 23 6.

A restaurant manager with analyzing records of the last 6 weeks summarizes the daily demand figures in terms of the number of meals served as follows (Please fill the empty cells of the following table): Weeks Number of Meals 3-periods Moving Average [Actual - Forecast]  (Actual - Forecast)2 1 60  -- -- -- 2 96 -- -- -- 3 103 --   --  -- 4 61       5 122       6 101         1. Which one of the following is closest to the forecast of the next week ( F7 ) for the number of meals to be served daily using the 3-periods moving average method ? a)143  b)95 c)57 d)62 2. Which one of the following is closest to the forecast error ( in terms of MAD ) for the weeks 4, 5 and 6 using the 3-periods moving average method ? a)22  b)29  c)30  d)24 3. What is the forecast error ( in terms of MSE ) for the weeks 4, 5 and 6 using the 3-periods moving average method ? a)641  b)577  c)705  d)897

The most naive forecast can is quite valuable in leading to an organization’s success because it is most widely understood by senior managers. True or False

Which​ time-series forecasting method works best if the company assumes that product demand will decrease over​ time?     A. Weighted moving average   B. Linear trend   C. Moving average   D. Exponential smoothing