Calculate five –yearly moving averages of the number of students studying in a university and short –term fluctuations from the following figures.
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Calculate five –yearly moving averages of the number of students studying in a university
and short –term fluctuations from the following figures.
Year
| YEAR | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 |
| Production(in '000 tons) | 105 | 107 | 109 | 112 | 114 | 116 | 118 | 121 | 123 | 124 | 125 | 127 | 129 |
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- Compute a three-period moving average forecast given the demand for shopping cartsfor the last five periods. Period Demand1 422 403 434 40 the 3 most recent demand5 41Following data on the demand for sewing machines manufactured by Taylor and Son Co. have been compiled for the past 10 years. Year 1971 1972 1973 1974 1975 78 1976 1977 1978 1979 99 1980 106 Demand 58 65 73 76 87 88 93 in (1000 units) Please estimate the value of demand for next 3 years using trend analysis.Explain the term moving averages?
- The sale data is shown as follows: Month 1: 11 Month 2: 52 Month 3: 95 Using Weighted Simple Moving Average method (Month 1: 0.2; Month 2: 0.3; Month 3: 0.5) to forecast the sales of Month 4: ________ (Round your answer to the nearest integer)A manager uses this equation to predict demand for landscaping services: Ft= 10 + 5t. Over the past eight periods, demand has been as follows:Period, t 1 2 3 4 5 6 7 8Demand 15 21 23 30 32 38 42 47Is the forecast performing adequately? Explain.Alvin Cheah is a marketing analyst for Rockstar Travel Company. He wants to analyze the trend of international tourist arrival in Tawau by using international tourist arrival rate and flight delayed rate over the past 10 years as given in Table 2 below: (Hint: Provides your answers in two decimal points) Table 2 Year 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Arrival (‘000) 35.5 28.0 30.3 36.0 49.5 56.0 72.4 71.0 79.3 96.0 Delayed rate 4.2 3.8 3.8 3.5 4.6 4.5 4.6 4.6 4.7 4.5 a） Propose ONE (1) forecasting model that can be used by Alvin. Why would you proposed that particularmodel? b) Develop the forecasting model that you suggest in (i). Briefly explain your
- In a short paragraph, describe the trend and seasonal variation of the number of customers (in thousand)in this coffee shop by referring to the following time series plot:(b) Find the trend by calculating the 4-period moving average.(Present your work in a table format and correct all answers to 4 decimal places.)5. Compute a three-period moving average forecast and five-period moving average forecast given demand for shopping carts for the last five periods. Period Demand 1 358 402 569 588 698 2. 3.Alvin Cheah is a marketing analyst for Rockstar Travel Company. He wants to analyze the trend of international tourist arrival in Tawau by using international tourist arrival rate and flight delayed rate over the past 10 years as given in Table 2 below: (Hint: Provides your answers in two decimal points) Table 2 Year 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Arrival 35.5 28.0 30.3 36.0 49.5 56.0 72.4 71.0 79.3 96.0 C000) Delayed 4.2 3.8 3.8 3.5 4.6 4.5 4.6 4.6 4.7 4.5 rate (1) Propose ONE (1) forecasting model that can be used by Alvin. Why would you proposed that particular model? (5 marks) (ii) Develop the forecasting model that you suggest in (i). Briefly explain your model. (20 marks)
- The manager of Redline Trucking believes that the demand for tires used on his trucks is closely related to the number of miles driven. He has collected the following data covering the past four months. Month 1 2 3 4 Tires Used 100 150 120 80 Miles Driven 15,000 20,000 17,000 11,000 Write an algebraic equation forecasting the demand for tires. Indicate and explain the independenet and dependant variables and the parameters used in your equation.Explain how is the moving average equivalent to exponential smoothing ?Daily high temperatures in St. Louis for the last week were as follows: 92, 94, 95, 92, 95, 86, 95 (yesterday). degrees (round your response to one decimal a) The high temperature for today using a 3-day moving average = [ place). b) The high temperature for today using a 2-day moving average = place). degrees (round your response to one decimal c) The mean absolute deviation based on a 2-day moving average = degrees (round your response to one decimal place). d) The mean squared error for the 2-day moving average = degrees2 (round your response to one decimal place). e) The mean absolute percent error (MAPE) for the 2-day moving average=% (round your response to one decimal place). iev S