Sales are 30 000 units in September of 2021. The seasonal index for the month of September is 0.75. What are the seasonally-adjusted sales for September, 2021? Do not include any spaces or commas in your answer.
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- Week Demand of beef 1 500 2 550 3 600 4 720 5 780 6 800 Corresponding weights are W1=0.6, W2=0.4 and W3=0.3 The 3-week weighted moving average to forecast- Week Demand of beef 3- weeks weighted moving average forecast 1 500 2 550 3 600 4 720 (500×0.6+550×0.4+600×0.3) / (0.6+0.4+0.3) = 538.46 5 780 (550×0.6+600×0.4+720×0.3) / (0.6+0.4+0.3) = 604.61 (600×0.6+720×0.4+780×0.3) / (0.6+0.4+0.3) = 678.46 Forecast for week 4,5 and 6 = 538.46, 604.61 and 678.46 4-week weighted moving average to forecast- Corresponding weights are W1=0.6, W2=0.4, W3=0.3, and W4=0.2 Week Demand of beef 4-weeks weighted moving average forecast 1 500 2 550 3 600 4 720 5 780 (500×0.6+550×0.4+600×0.3+720×0.2) / (0.6+0.4+0.3+0.2) = 562.66 (550×0.6+600×0.4+720×0.3+780×0.2) / (0.6+0.4+0.3+0.2) = 628 Forecast for week 6 and 7 = 562.66, 628…Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note that the 1st quarter is Jan, Feb, and Mar; 2nd quarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, Dec. (Round final answer to a whole number.) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Last year 165 185 200 230 240 265 210 200 195 265 290 315 This year 175 200 165 260 260 200 Forecast for the third quarterThe table below comprises of demand from the last 10 months: Month Demand 1 31 2 34 3 33 4 35 5 37 6 36 7 38 8 40 9 40 10 41 Calculate the exponential smoothing with trend forecast for the second month using a alpha and delta of 0.3 each. Take the initial exponentially smoothed forecast (F1) of 30 and initial trend forecast (T1) of 1. Note: I have tried solving this question and I got 31, but unfortunately it was the wrong answer.
- 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 8 8 4 9 12 7 11 14 9 13 8 Part 2 Using exponential smoothing with α = 0.50 and a forecast for year 1 of 7.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place). Year 1 2 3 4 5 6 7 8 9 10 11 12 Forecast 7.0 enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response hereThe 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 9 13 8 11 14 9 13 7 Part 2 Using exponential smoothing with α = 0.40 and a forecast for year 1 of 5.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place). Year 1 2 3 4 5 6 7 8 9 10 11 12 Forecast 5.0 5.45.4 6.46.4 5.55.5 6.96.9 9.39.3 8.88.8 9.79.7 11.411.4 10.410.4 11.511.5 9.79.7 Part 3 Provide the forecast from periods 2 through 12 using the naive approach (enter your responses as whole numbers). Year 2 3 4 5 6 7 8 9 10 11 12 Forecast enter your response here enter your response here enter your response here enter your…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 10 11 9 12 12 8 13 6 This exercise contains only parts b, c, and d. b) Using the 3-year moving average, provide the forecast from periods 4 through 12 (round your responses to one decimal place). Year 4 5 6 7 8 9 10 11 12 Forecast 66 7.337.33 8.338.33 1010 10.6610.66 1111 10.6610.66 1111 99 c) Using the 3-year weighted moving average with weights 0.15, 0.30, and 0.55, using 0.55 for the most recent period, provide the forecast from periods 4 through 12 (round your responses to two decimal places).
- Use exponential smoothing with trend adjustment to forecast demand for period 11. Let α = 0.5, β= 0.3, and let the initial trend value be 12 and the initial forecast be 200. Period Actual Demand 1 200 2 212 3 214 4 222 5 236 6 221 7 240 8 244 9 250 10 266Camille forecasts to sell 575 units of the perfume she is selling by the first week of December. At the end of the 1st week of December, she was able to disposed 500 perfumes at Php150 each. Of these 500 units, she gave a total of 20 giveaways. The total cost for each perfume is Php120. Determine Camille’s net sales volume. *4802075500 Let’s say that last November you have sold 10,000 pieces of chrysanthemum at 25 pesos each. For every piece sold, you will be given a commission of 10%. How much was your total commission? *225,00025,00010,0002.50250,000Sales of a particular product (in the thousands of dollars) for the year of 2015 through 2018 have been $48,000, $64,000, $67,000 and $83,000 respectively. (a) What sales would you predict for 2019, using a simple four year moving average? (b) What sales would you predict for 2019, using a weighted moving average with weights of 0.50 for the immediate preceding year 0.3, 0.15, and 0.05 for the three years before that?
- 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 8 9 4 10 12 8 13 14 8 11 7 b) Using the 3 year moving average, provide the forecasts from periods 4 through 12 (round your responses to one decimal place) Year 4 5 6 7 8 9 10 11 12 forecast [_] [_] [_] [_] [_] [_] [_] [_] [_]Assume the weight is 0.6 for the most recent period; 0.2 for the second most recent; 0.1 for the third most recent; and 0.1 for the fourth most recent period. Using the four-period weighted moving average technique to predict the demand in February 2019. Find the X and Y values. Dt Ft Period Demand Four-period weighted Moving Average 2014 September 9400 October 10300 November 11200 December 4998 2015 January 9800 7209 February 9555 X March 9800 Y Group of answer choices X = 9899.8; Y = 9778.2 X = 9312.8; Y = 9555.2 X = 9029.6; Y = 9312.8 X = 9555.0; Y = 9313.7 X = 9872.4; Y = 9029.4A manager would like to know the total cost of a chase strategy that matches the forecast belowusing a steady regular production rate of 200 units a month, a maximum of 20 units per month ofovertime, and subcontracting as needed to make up any shortages. The unit costs are:Regular production = $35Overtime = $70Subcontracting = $80Month 1 2 3 4 5 6Forecast 230 200 240 240 250 240