25. What is this year's forecast using exponential smoothing with alpha = 0.4, if year 2007's smoothed forecast was 2,600? A. 2,680 B. 2,808 C. 2,760 D. 3,128 E. 3,160
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- Al Maha Plastic manufacturing Companies last Six weekly values of Sales were 90, 110, 115, 135, 140, 150 and 160 units. Forecasts (same for all the six weeks) were 110 units for all the weeks. Calculate MAD, and Tracking Signal for these six weeks. Wee k Actual Sales Forecaste d Sale Error Cumulative Error Absolute Error Cumulative Absolute Error MAD Tracking Signal 1 2 3 4 5 6 7q 1 An analyst must decide between two different forecasting techniques for weekly sales of roller blades. Based on the following data, answer the below questions. time Units sold 1 147 2 148 3 151 4 145 5 155 6 152 7 155 8 157 9 160 10 165 What's the MAD if the exponential smoothing technique with alpha 0.4 is used?The table shows the values found in the error analysis. What method of forecasting would be best to use? What is the forecasted value? MSE forecast for week 13 Time Series 1.08 14.76 3-week MA 3.04 13.67 exp smoothing 11.04 9.5 Group of answer choices A.) Time Series, forecasted value = 14.76 B.) 3-week MA, forecasted value = 13.67 C.) exp smoothing, forecasted value = 9.5 D.) Time Series, forecasted value = 1.08 E.) 3-week MA, forecasted value = 3.04 F.) exp smoothing, forecasted value = 11.04
- Year Bushels Simple Exp. Smoothing Forecast Trend Factor Adjusted Exp. Smoothing Forecast 1 48 48 0 48 2 52 48 0 48 3 54 49 .30 49.30 4 56 5 66 6 62 What is the simple exponential smoothing forecast for years 4-6? And also what is adjsted exponential smoothing forecast for these years 4-6?q. 15 Calculate the accuracy of your MA forecasts using MAD. What does the result tell you? Group of answer choices a. There is a bias towards over forecasting b. There is a bias towards under forecasting c. On average forecasts miss by 15% d. On average forecasts miss by 2 e. MAD does not provide any useful information without a CFE calculation to compare withQ: Using exponential smoothing with a weight ex of 0.6 on actual values: (a) if sales are $45,000 and $50,000 for 2010 and 2011, what would you forecast for 2012? (b) given this forecast and actual 2012 sales of $53,000, what would you then forecast for 20013? (a) (b)
- When creating a time series–based forecast for the amount of soda to be sold in thecafeteria next week, which data sources can you include in your forecasting process?a. The opinion of the principalb. Old demand datac. Data about upcoming sports eventsd. The age of the cafeteria worker8. Calculate (a) MAD and (b) MSE for the following forecast versus actual sales figures: Forecast 100 110 120 130 Actual 95 108 123 130 Part 2 a) MAD= __________ (round your response to one decimal place).9. A time-series trend equation is 25.3 + 21x. What is your forecast for period 7? Part 2 A. 172.3 B. 324.1 C. 32.3 D. 25.3 E. 40.0
- 2)Auto sales over a 4-month period were forecasted as follows: 89, 98, 105, and 97. The actual results over the 4-month period were as follows: 92, 96, 101, and 100. What was the MAD of the 4-month forecast? (use an excel sheet to make all calaculations and show formulas used in excel)1. Food trucks have become a common sight on American campuses. They serve scores of hungry students through campus and looking for trendy food served fast. The owner of a food truck collects data on the number of students he serves on weekdays on a small campus in California. Use the FOODTRUCK sheet (refer to Excel file). Determine the 3-period moving average to make forecast for Week 4 to Week 41. 2. The manager of a trendy downtown cafe in Columbus, Ohio, collects weekly data on the number of customers it serves. Use the simple exponential smoothing technique with =0.2 to make a forecast in the entire data. Weekday Students 1 84 2 66 3 108 4 113 5 74 6 115 7 110 8 116 9 128 10 114 11 97 12 85 13 119 14 151 15 187 16 144 17 139 18 108 19 71 20 28 21 22 22 61 23 65 24 100 25 53 26 73 27 52 28 29 29 65 30 35 31 48 32 84 33 104 34 96 35 121 36 116 37 97 38 143 39 154 40 166Indicate how and why each of these factors is important to thesuccessful operation of a supermarket:b. Forecasting