by X company is given below. sdund Forecast the demand for the pumps for the next three years. Year 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 42 39 Sales 30 33 37 48 50 55 58 46
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- Under what conditions might a firm use multiple forecasting methods?2-1 Sales of Cool-Man air conditioners have grown steadily during the past 5 years: DEMAND ADV SEPENT 2017 450 1200 2018 495 1650 2019 518 1710 2020 563 1860 2021 584 1960 Predict the demand of Year 2021 by: a. Using 3 moving average b. Using exponential smoothing with alpha = 0.30. The sales manager had predicted, before the business started, that year 1l's sales would be 410 air conditioners. c. Using the relationship between the sales and advertainment spent Which of the above value is the best predicated demand for Year 2021? 2-2 Three trials for the company stock control system were calculated as shown in the table below. The holding cost, shortage cost and ordering costs have been estimated to be $220, $80 and $170. The company has a high competition therefore they need to keep their customer and attract more new customers. Strategy 1 Strategy 2 Strategy 3 Reorder Quantity 200 600 400 Reorder Level 300 400 200 Lead Time 1 Number of days when stock out is occurred 20 12 Number of…The following table shows the quarterly sales (RM'000) for Afeef Café for the past 3 years. Quarter Year 2 3 4 2019 11 17 10 18 2020 19 24 17 29 2021 23 38 31 33 Based on the above data. (c) Forecast the sales for the third quarter of 2022.
- The K&R Camera shop sells all the latest cameras and accessories. To meet customer demand, the manager must forecast demand for items she sells. Lately the XR-42S zoom lens has been very popular. Recent monthly demand for this item has been as shown: Number of Lenses Month Sold 1 12 17 2 3 4 15 20 18 23 6.» 95 A cosmetics manufacturer's marketing department has developed a linear trend equation that can be used to predict annual sales of its popular Hand & Foot Cream. Ft = 80 + 25t where Ft = Annual sales (000 bottles), t is in years. Predict annual sales for year 6? 170 230 10 % 6 52 min 42 secsNew Accounts New Accounts Period 200 232 11 214 248 12 211 250 13 228 253 14 5 235 10 267 15 Using linear regression, what is your forecast for period 16? Less than 300 Between 301 and 308 Between 309 and 350 Period 1 2 3 4 O Higher than 350 Period 6 7 8 9 New Accounts 281 275 280 288 310
- Calculate the mean square error, mean absolute deviation and the Period Year Call Volume forecast Error 1 1 30 45 -15 2 2 25 15 10 3 2 55 65 -10 4 3 15 20 -5 Your answer?12.2 The manager of the I-85 Carpet outlet needs to be able to forecast accurately the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpets from one of the outlets many competitors. The manager has collected the following demand data for the past 8 months. Month 1 2 3 4 5 6 7 8 Demand for Soft Shag Carpet (1000 yd) 5 10 6 8 14 10 9 12 a. Compute a three-month moving average forecast for months 4 through 9.Q2: An economist who estimated the Keynesian money demand function in logarithmic form using data from Sri Lankan economy, obtained the graph on the left by using predicted and actual money demand. While the model was very successful in predicting money demand until 2010 (small forecast errors), it predicts a consistently higher money demand than actually occurred since then (growing forecast errors each period). 48 Ln(M) 4.75 4.7 4.65 4.6 4.55 Actual 4.5 Predicted ...... 4.45 Help this economist who has trouble explaining this situation, even if you do not know anything about the economy in question. Can you answer this question with details please? 6toz Stor
- *** Can you please demonstrate how to do parts d, e, f? Given: Year Demand 1 7 2 9 3 5 4 9 5 Predict the value for Year 5: 2 year moving average What is MSE for 2 year moving average? 2 year moving average using 0.6 (weight for the oldest period) and 0.4(weight for most recent period Exponential smoothing, =0.2 and forecast for Year 1 = 5 Linear trend Which forecast method has the least amount of error using MAD? What is the coefficient?Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.) b. To be reasonably confident of meeting demand, Nina decides to use 2 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round your answer to the nearest whole number.)Make a 15-year simple linear regression forecast. Example: Railroad Products Co. RPC Sales Car Loadings Year ($millions) (millions) 1 9.5 120 2 11.0 135 3 12.0 130 4 12.5 150 5 14.0 170 6 16.0 190 7 18.0 220
