Find the forecast for April using Weighted Moving Average method given the below the actual sales in January is 100 units ( Its weight is 1) the actual sales in February is 130 uñits ( Its weight is 2) the actual sales in March is 150 units ( Its weight is 3)
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- 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…Based on above assume you are using the moving average forecasting method based on the last four observations. When making the forecast for the last period, theoldest of the four observations was 1945 and the forecast was 2083. Thetrue value for the last period then turned out to be 1977. Calculate yourforecast for the next period. Can you show on excel?If sales are 43,854 and 43,811 for 2018 and 2019, what would you forecast for 2020 using exponential smoothing with a weight of 0.82 ? (The first forecast is equal to the actual value of the preceding year).
- Using naïve method to make a forecast involving data with trend, the forecasted sales volume for week 4 must be ________ units if the actual sales are 500, 510, and 508 in weeks 1, 2, & 3, respectively: * o 506 o 508 o 510 o 500Explain 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…Sales volume of July was 390. Use exponential smoothing with a smoothing constant o.2 to find the forecast of sales volume in August. Suppose the forecast of June is 370. give the formula and answer in full steps please
- a) Forecast the demand for the week of October 12 using a 3-week moving average. b) Use a 3-week weighted moving average, with weights of .1, .3, and .6, using .6 for the most recent week. Forecast demand for the week of October 12. c) compute the forecast for the week of Oct 12 using exponential smoothing with a forecast for august 31 of 360 and alpha 0.2Compute a 3-month weighted average forecast for months 4 through 9. Assign weights of 0.55, 0.33 and 0.12 to the months in sequence, starting with the most recent month. Compare the two forecasts using MAD. Which forecast is better the 3-month moving average or the 3-month weighted moving average and why?Sales for a product for the past three months have been 203, 365, and 293. Use a three-month moving average to calculate a forecast for the fourth month. If the actual demand for month 4 turns out to be 318, calculate the forecast for month 5. (Round your answers to 2 decimal places, e.g. 15.25.)
- A company finds its actual sales during the first, second, and third quarters to be 183.5, 162.3, and 141 respectively. The initial forecast for the first quarter was 350.3052 and the forecast obtained by the exponential smoothing method without trend adjustment gave sales figures of 176 for the third quarter. You are not given the forecast for the second quarter. Find the value of alpha.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 2020Following 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?
