a. Compute the MSE and MAD for each forecast. (Round your answers to 2 decimal places.)
Q: The following table gives the number of pints of type A blood used at Damascus Hospital in the past…
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Q: The following table gives the number of pints of type A blood used at Damascus Hospital in the past…
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Q: The following table gives the number of pints of type A blood used at Damascus Hospital in the past…
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- The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Week Of a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.10, 0.35, and 0.55, using 0.55 for the most recent week, the forecasted demand for the week October 12 pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 360 and a = 0.20, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). August 31 September 7 September 14 September 21…Here are the actual tabulated demands for an item for a nine-month period (January through September). Your supervisor wants to test two forecasting methods to see which method was better over this period. MONTH ACTUAL January 120 February 145 March 146 April 171 May 154 June 182 July 138 August 135 September 146 a. Forecast April through September using a three-month moving average. b. Use simple exponential smoothing with an alpha of 0.20 to estimate April through September, using the average of January through March as the initial forecast for April. c-1. Calculate MAD for Three-month moving average and Exponential smoothing. c-2. Use MAD to decide which method produced the better forecast over the six-month period.Jean and Dinah had been in business for two years producing umbrellas to be sold to the cruise ship passengers when they docked. They found that they are constantly out of umbrellas and had to rush producions which has resulted in the increase of their production cost. Jean has a nephew who is enrolled in the UWIOC and he advised her to prepare forecasted qualities using the sales that they made over the past months. The data below represents sales for the last 9 months. In order to assist Jean and Dinah you are asked to; a. plot the data on a graph showing the trend b. determine the equation of the trend line c. predict sales for month 10 and 11. Months Sales 1 44 2 52 3 50 4 54 5 55 6 55 7 60 8 56 9 62
- The following table shows the actual demand observed over the last 11 years: Year 1 2 3 4 5 6 7 8 9 10 11 Demand 6 8 4 7 11 7 13 12 10 13 8 This exercise contains only parts b, c, and d. Part 2 b) Using the 3-year moving average, provide the forecast from periods 4 through 12 (round your responses to one decimal place). Part 3 c) Using the 3-year weighted moving average with weights 0.10, 0.30, and 0.60, using 0.60 for the most recent period, provide the forecast from periods 4 through 12 (round your responses to two decimal places). Part 4 d) Mean absolute deviation for the forecast developed…Discuss the basic assumptions made when using time series forecasting techniques as apposed to casual techniques ?The following table gives the number of pints of type A blood used at Woodlawn Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 - a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.10, 0.30, and 0.60, using 0.60 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) Week Of c) If the forecasted demand for the week of August 31 is 360 and a = 0.20, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). August 31 September 7 September 14…
- Income at the law firm of Smith and Jones for the period February to July was as follows: Month February March April May June July Income (in $ thousand) 90.0 91.5 96.0 85.4 92.2 96.0 Assume that the initial forecast for February is $85,000 and the initial trend adjustment is 0. The smoothing constants selected are a = 0.1 and ß = 0.2. Using trend-adjusted exponential smoothing, the forecast for the law firm's August income =O thousand dollars (round your response to two decimal places).Please please answer that early pleaseThe following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: August 31 September 7 September 14 Week Of September 21 September 28 October 5 Week Of a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places). pints (round your b) Using a 3-week weighted moving average, with weights of 0.10, 0.35, and 0.55, using 0.55 for the most recent week, the forecasted demand for the week of October 12 = response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 350 and x = 0.25, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). August 31 September 7 September 14…
- Elna inc is a microwave manufacturing and distribution company based in Jakarta. The company needs to estimate production demand using the historical sales data of the last 24 months (periods).A logistics manager of the company then uses the moving average, exponential smoothing, and simple linear regression methods to determine sales forecasts for the next 12 months (Graphically illustrate the results). Provide an analysis and the results of bias, MAPE, MSE, and MAD for the forecasting decisions.Moving average is 4 month, and alfa is 0.054. The yearly demand for units manufactured by the Orion Company Limited has been as follows:Year Units Year Units1 520 5 8602 830 6 9403 520 7 9904 750 8 850Required:i. Prepare a forecast for year 5 through 8 by using a three-year simple moving average.What is the forecast for year 9?ii. Calculate the Cumulative Frequency Error (CFE), Mean Absolute Deviation (MAD),Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) as at the endof year 8.Following table shows the weekly sales of smart phones at electronic retail store: Week Number of smart phones Sold Forecast using 3 period moving average Error Forecast using exponential smoothing (with α =0.4) Error 1 48 2 41 3 55 4 64 5 62 6 55 7 8 Answer the following questions based on the data given above. Show all your calculations. What is the expected sales for the 7th week based on 3 period moving average. What is the forecast for the 8th week using the same method if the actual sales for week 7 happens to be 70? What is the expected sales for the 7th week based on exponential smoothing with α = 0.3? Which of the above two forecasting method is better based on MSE? Explain why?