DATE JOB RECEIVED PRCDUCTION DAYS NEEDED DATE JOB DUE JOB 215 30 260 220 20 290 3 225 40 300 4 240 50 320 5 250 340 20 2.
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- Assignment r Coutoacts NO are but not all agoeensend Justfy it contsact.Week Sales 3 WMA 4 WMA 1 40 W1 0.5 2 45 W2 0.3 3 41 W3 0.2 4 46 41.7 5 39 44 29.3 6 44 42.1 31 W1 0.3 7 40 43.5 29.1 W2 0.2 8 45 40.7 30.2 W3 0.2 9 33 43 19 W4 0.3 10 41 40.1 30.3 Week Sales 3 WMA ABS ERROR 4 WMA ABS ERROR 1 40 W1 0.5 2 45 W2 0.3 3 41 W3 0.2 4 46 41.7 4.3 5 39 44 5 43 4 6 44 42.1 1.9 42.6 1.4 W1 0.3 7 40 43.5 3.5 42.5 2.5 W2 0.2 8 45 40.7 4.3 42.4 2.6 W3 0.2 9 33 43 10 42 9 W4 0.3 10 41 40.1 0.9 40.1 0.9 MAD 4.271428571 3.4 A four-week weighted moving average forecast is…1. 1.Alabama llc collected sales dara for four months, janurary through april. the data is janurary-17, feburary -24, march -25 and april -26. usung a three month moving average. the forcaste calue of may is a. 21 b.22 c.23 d.24 2. a decision tree branch has an expectrd monrtary value of 108. the probability of success is .6 with an outcome value of 200. what is the outcome value of failure?
- C0ON COLLEGE learneng Qu If an agreement about the partner's contribution to the capital of the Commercial Company is not available, the partners shall not be deemed of equal value and competent authority to ask to re-evaluation of contributions. 1 Select one: 13 O True O False Finish Time NEXT PAGE PREVIOUS PAGE 61Candidates B C 1st place votes 10 20 40 2nd place votes 20 40 10 3rd place votes 40 10 20 What is the score of the winning candidate by Borda Count Method? a. 164 b. 170 c. 160 d. 150 A aPercentage Service Provided toDepartment Cost S1 S2 P1 P2Service 1 (S1) $ 112,000 0% 40% 40% 20%Service 2 (S2) 44,000 20 0 40 40Production 1 (P1) 345,000Production 2 (P2) 216,000Total $ 717,000Brief Exercises 7-15 and 7-16 require the following information:7-15 What percentage of S1’s costs is allocated to P1 and to P2 under the direct method?7-16 What percentage of S2’s costs is allocated to P1 and to P2 under the direct method?
- QUESTION 1The table below shows the sales figures for a brand of shoe over the last 12 months.Months SalesJanuary 69February 75March 86April 92May 95June 100July 108August 115September 125October 131November 140December 150a. Using the following, forecast the sales for the months up to January the following year:-i. A simple three month moving average. ii. A three period weighted moving average using weights of 1, 2 and 3. Assign thehighest weight to the most recent data. iii. Exponential Smoothing when α= .6 and the forecast for March is 350.iv. Determine which of the three forecasting technique is the most accurate usingMAD. b. The following table shows the number of televisions sold over the last ten years at alocal electronic store.YEAR TV SALES1 1502 3003 4804 6005 6306 6407 7008 8259 90010 980i. Using trend projection, develop a formula to predict sales for years 11 and 12. Youhave to show all working. You will need to develop a table to calculate the slope andthe intercept.…Year Quarter Period Cost/Unit ($) 1 1 1 $20.00 2 2 $17.23 3 3 $13.39 4 4 $17.94 2 1 5 $20.29 2 6 $25.61 3 7 $22.62 4 8 $29.63 3 1 9 $23.87 2 10 $20.35 3 11 $26.32 4 12 $25.50 4 1 13 $20.90 2 14 $28.48 3 15 $32.65 4 16 $25.78 5 1 17 $28.90 2 18 $32.61 3 19 $28.66 4 20 $25.27 6 1 21 $25.80 2 22 $35.71 3 23 $27.26 4 24 $27.89 7 1 25 $28.50 2 26 $28.64 3 27 $32.52 4 28 $28.24 8 1 29 $37.95 2 30 $28.59 3 31 $37.07 4 32 $38.16 Construct a time series plot. What type of pattern exists in the data? The time series plot shows a horizontal pattern.The time series plot shows a nonlinear trend pattern. The time series plot shows an upward trend pattern.The time series plot shows a downward trend pattern.The time series plot shows a seasonal pattern. (b) Use simple linear regression analysis to find the estimated parameters for the line that minimizes MSE for this time…Year Quarter Period Cost/Unit ($) 1 1 1 $20.00 2 2 $17.23 3 3 $13.39 4 4 $17.94 2 1 5 $20.29 2 6 $25.61 3 7 $22.62 4 8 $29.63 3 1 9 $23.87 2 10 $20.35 3 11 $26.32 4 12 $25.50 4 1 13 $20.90 2 14 $28.48 3 15 $32.65 4 16 $25.78 5 1 17 $28.90 2 18 $32.61 3 19 $28.66 4 20 $25.27 6 1 21 $25.80 2 22 $35.71 3 23 $27.26 4 24 $27.89 7 1 25 $28.50 2 26 $28.64 3 27 $32.52 4 28 $28.24 8 1 29 $37.95 2 30 $28.59 3 31 $37.07 4 32 $38.16 Use simple linear regression analysis to find the estimated parameters for the line that minimizes MSE for this time series. (Round your answers to two decimal places.) b0= b1= (c) What is the average cost increase (in $) that the firm has been realizing per quarter? (Round your answer to two decimal places.) $ (d) Compute an estimate of the cost/unit (in $) for the next quarter. (Round your answer to two decimal places.) $
- QUESTION 1The table below shows the sales figures for a brand of shoe over the last 12 months.Months SalesJanuary 69February 75March 86April 92May 95June 100July 108August 115September 125October 131November 140December 150 a. Using the following, forecast the sales for the months up to January the following year:-i. A simple three month moving averageWeat Subject: acountingSolve by Systematic trial Maximise Z = 3 x – 2 y S.T. 1 x + 1 y ≤ 1 2 x + 2 y ≥ 4 and both x and y are ≥ 0