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- Under what conditions might a firm use multiple forecasting methods?tions Management Spring21 Time left 0:30:19 Qui The sales of XYZcompany for the previous three periods are 45, 42, and 43 respectively. Estimate the sales of the fourth period by exponential smoothing with 0.5. Use naïve as a starting/initial forecast (Round to 2 decimals) O a. 42.8 O b. 41 Mar O C. None is correct 12- O d. 43.25 O e. 41.92 S PAGE NEXT PAGE Finish TOSHIBA F11 F17 F9 F10 F6 F7 F8 F5 F3 F4 60 AHGiven the following demand data, Period Demand 1 57 2 55 3 59 4 56 5 60 a. Compute a weighted average forecast using a weight of 0.4 for the most recent period, 0.3 for the next most recent, 0.2 for the next, and 0.1 for the next. (Round all your answers to two decimal points.) Forecast Period 5 Forecast Period 6 b. If the actual demand for period 6 is 58, forecast demand for period 7 using the same weights as in part a. Forecast Period 7
- Pls help me it mathematics for economics Problem 1: Sheet 1 a) Find on the Internet a time series, which contains at least 20 entries. Provide a short description of this time series. Also provide a link to that data set. b) Perform 2 different suitable forecast methods for the next time period. c) Compare 2 forecast methods using mean square error (MSE).The Yummy Ice Cream Company uses the exponential smoothing method. Last week the forecast was 100,000 gallons of ice cream, and 90,000 gallons was actually sold.a. Using α = .1, prepare a forecast for next week.b. Calculate the forecast using α = .2 and α = .3. Which value of α gives the best forecast, assuming actual demand is 95,000 gallons?Weekly demand for an item averaged 100 units over the past year. Actual demand forthe next eight weeks is shown in what follows:a. Plot the data on graph paper.b. Letting a = 0.25, calculate the smoothed forecast for each week.c. Comment on how well the forecast is tracking actual demand. Is it lagging or leading actual demand?
- Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 18 11 14 10 17 12 (b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Week Time SeriesValue Forecast 1 18 2 11 3 14 4 10 5 17 6 12 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (c)Use ? = 0.2 to compute the exponential smoothing values for the time series. Week Time SeriesValue Forecast 1 18 2 11 3 14 4 10 5 17 6 12 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.) (e)Use ? = 0.4 to compute the exponential smoothing values for the time series. Week Time SeriesValue Forecast 1 18 2 11 3 14 4 10 5 17 6 12a. Forecasting Methodology: Choose an appropriate demand forecasting method (e.g.,qualitative, quantitative, or a combination) based on the nature of your product/serviceand available data. Explain the chosen method and its rationaleB). Using exponential smoothing, calculate the forecasts for months 2, 3, 4, 5, and 6. The smoothing constant is 0.2, and the old forecast for month I is 245. Month Actual Demand Forecast Demand 1 260 2. 230 3 225 4 245 5 250 6. C). Given the following average demand for each month, calculate the seasonal indices for each month. Month Average Demand Seasonal Index January 30 February 50 March 85 April 110 May 125 June 245 July 255 August 135 September 100 October 90 November 50 December 30 Total 3 D). Using the data in part A and the seasonal indices you have calculated, calculate expected monthly demand if the annual forecast is 2000 units. Month Seasonal Forecast Index January February March April May June July August September October November December
- Brown Limited buys small ornaments and resells them. The production manager got the following data after inventory control check. (a) Use a trend projection to estimate the relationship between time and sales (state the equation). (b) Calculate forecasts for the first four months of the next year. 8 9 10 11 12 Oct Nov Dec 69 75 77 1 2 3 4 5 6 7 Month Jan Feb Mar Apr May Jun Jul Aug Sep Sales 51 55 54 57 50 68 66 59 67 (Hint: Month-x, Sale = y)If ABC Corporation has following historical data about sales volume: Years Sales Years Sales Years Sales Years Sales 2001 110 2006 99 2011 100 2016 110 2002 112 2007 101 2012 104 2017 111 2003 122 2008 95 2013 108 2018 109 2004 111 2009 98 2014 102 2019 114 2005 104 2010 96 2015 115 2020 112 Note: All the sale values are in thousands. Required: Which type of forecasting approach is suitable for this type of data? Which forecasting technique is best to employ in order to forecast the above data? And also define the suggested technique. Calculate the predicted values by employing the discussed technique in part (b) on the above data.What factors make forecasting at Deckers particularly challenging? Howcan forecasts be made for seasonal, fashionable products for whichthere is no history file? What are the costs of over-forecasting demandfor such items? Under-forecasting?