Calculate (a) MAD and (b) MSE for the following forecast versus actual sales figures: Forecast 100 110 120 130 Actual 95 108 123 130 a) MAD =O (round your response to one decimal place). %3D
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- Using exponential smoothing with a weight of 0.6 on actual values: (a) If sales are $45,000 and $50,000 for 2017 and 2018, what would you forecast for 2019. (The first forecast is equal to the actual value of the preceding year) (b) Given the forecast and actual 2019 sales of $53,000, what would you forecast for 2020Use regression or simple exponential smoothing with the following data. For exponential smoothing, assume the forecast for year 1 was the same as the actual and use an alpha of 0.7. (use excel to show formauls used) Year Sales 1 290 2 340 3 400 4 410 5 400 1. What is the tracking signal for the forecast?Summarize the process of Time-Series Forecasting in an innovative, concise and interesting way. Write atleast 400 words.
- (Use excel to show formulas used) Use regression or simple exponential smoothing with the following data. For exponential smoothing, assume the forecast for year 1 was the same as the actual and use an alpha of 0.7. Year Sales 1 290 2 340 3 400 4 410 5 400 Forecast Year 6 sales. Compute MAD.Given the following historical data, what is the moving-average forecast for period 6 based on the last three periods? Period Value 1 73 2 68 3 65 4 72 5 67 (Round your answer to 2 decimal places.) (Round your answer to 2 decimal places.)12. Under the bottom-up approach, a central person or persons take the responsibility for forecasting and preparing an overall forecast. Select one: True False
- What tool should we use to know whether our forecasting was under forecasted or over forcasted? Is it possible to get the same value of CFE and MAD? How? What does the value of MSE signify?d) Using exponential smoothing with α = 0.40 and the forecast for year 1 being 3,000, the forecast for year 6 = ? miles (round your response to the nearest whole number).Explain the difference between qualitative and quantitative approaches to forecasting. Describe three (3) qualitative methods used in forecasting. Given the following data of demand for shopping carts at a leading supermarket. Prepare a forecast for period 6 using each of the following approaches: Period 1 2 3 4 5 Demand 60 65 55 58 64 A three-period moving average. A weighted average using weights of .50 (most recent), .20 and .30. Exponential smoothing with a smoothing constant of .40. The manager of a large cement production factory in Road Town, Tortola has to choose between two alternative forecasting techniques. His production staff used both techniques in order to prepare forecasts for a six-month period (See table below). Using MAD as a criterion, which technique has the better performance record? FORECAST MONTH DEMAND TECHNIQUE 1 TECHNIQUE 2 1 492 488 495 2 470 484 482 3 485…
- Your manager is trying to determine what forecasting method to use. Based on the following historical data, calculate the following forecasts and specify what procedure you would utilize. Month Actual Demand 1 64 2 67 3 69 4 65 5 71 6 73 7 76 8 77 9 77 10 82 11 83 12 85 Calculate the simple three-month moving average forecast for periods 4–12.(Round your answers to 3 decimal places.) Month Actual Demand 4 66.667 5 67.000 6 68.333 7 69.666 8 73.333 9 75.333 10 76.666 11 78.666 12 80.666 Calculate the weighted three-month moving average for periods 4–12 using weights of 0.30 (for the period t−1); 0.20 (for the period t−2), and 0.50 (for the period t−3). (Do not round intermediate calculations. Round your answers to 1 decimal place.) Month Actual Demand 4 66.7 5 67.0 6 68.3 7 69.7 8 73.3 9 75.3…The following monthly sales (in thousands of AUS dollars) of chocolate boxes have been recorded for January, February, March, and April, respectively: 8, 8, 5, 9. Focusing on sales forecast accuracy for the month of April only, explain which of the following forecasting method would you recommend: the Naïve method, the Average method, or the Simple exponential smoothing method (assuming alpha=0.8 and initial state of 7)?The monthly demand for units manufactured by the Acme Rocket Company has been as follows: a. Use the exponential smoothing method to forecast the number of units for June to January. Theinitial forecast for May was 105 units; a = 0.2.b. Calculate the absolute percentage error for each month from June through December and theMAD and MAPE of forecast error as of the end of December.c. Calculate the tracking signal as of the end of December. What can you say about the performanceof your forecasting method?
