The irregular component of a time series is caused by cyclical or seasonal patterns in the data. Group startsTrue or False
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The irregular component of a time series is caused by cyclical or seasonal patterns in the data.
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- A time series that shows a recurring pattern over one year or less is said to follow a a. horizontal pattern. b. stationary pattern. c. seasonal pattern. d. cyclical patternIn the theory of time series, earthquakes can be considered as a. Seasonal Variation b. Cyclical Variation c. Irregular Variations d. Secular Trendcorporate triple-a bond interest rates for 12 consecutive months follow.9.5 9.3 9.4 9.6 9.8 9.7 9.8 10.5 9.9 9.7 9.6 9.6a. construct a time series plot. What type of pattern exists in the data?
- When a forecaster uses the ______________ method, she or he assumes that the time series components are changing slowly over time.Which of the following is NOT necessary for time series analysis? Question 7 options: Past data that spans at least five years. Past information about the variable being forecast Reasonable expectations that past patterns will extend into the future Past information that is quantified or quantifiablecanton Supplies, inc., is a service firm that employs approximately 100 individuals.Managers of canton Supplies are concerned about meeting monthly cash obligations andwant to develop a forecast of monthly cash requirements. Because of a recent changein operating policy, only the past seven months of data that follow are considered to berelevant.Month 1 2 3 4 5 6 7Cash Required ($1000s) 205 212 218 224 230 240 246a. construct a time series plot. What type of pattern exists in the data?b. Using Minitab or excel, develop a linear trend equation to forecast cash requirementsfor each of the next two months.
- what is structural time series forecasting? state the advantage and disadvantage of using it.The Energy Information Administration of the U.S. Department of Energy providedtime series data for the U.S. average price per gallon of conventional regular gasolinebetween January 2007 and February 2014 (Energy Information Administration website,March 2014). Use the Internet to obtain the average price per gallon of conventionalregular gasoline since February 2014.a. Extend the graph of the time series shown in Figure 1.1.b. What interpretations can you make about the average price per gallon of conventionalregular gasoline since February 2014?c. Does the time series continue to show a summer increase in the average price pergallon? Explain.The Hungry Person restaurant has posted its sales (in thousands of dollars) for the last two years. Month 1st Year 2nd Year January 201 216 February 216 223 March 232 240 April 201 244 May 221 232 June 213 220 July 220 211 August 214 213 September 202 217 October 217 220 November 224 212 December 236 216 a) Construct a time series plot in excel. (Label axes and graph) b) Develop a four month moving average. Compute MSE and forecast the amount of sales for the next month. c) Use α = 0.2 to compute the exponential smoothing values. Compute MSE and forecast for the next month. d) Compare the result for the four month average and exponential smoothing. Which appears to provide a better forecast based on MSE? Explain.
- Which is not a time series variable? Multiple Choice Net earnings reported by Xena Corp. for the last 10 quarters Closing checkbook balances of 30 students on December 31 of this year Dollar/euro exchange rates at 12 noon GMT for the last 30 days Movie attendance at a certain theater for each Saturday last yearThe Vintage Restaurant, on Captive Island near Fort Meyers, Florida, is owned and operated by Karen Payne. The restaurant just completed its second year of operation. Below are the sales for those two years (in ten thousands of dollars). Month First Year Second Year January 57 61 February 51 75 March 58 54 April 57 56 May 68 62 June 72 71 July 60 59 August 51 75 September 68 68 October 51 50 November 71 64 December 75 58 a) Construct a time-series plot in excel. (Label axes and graph) b) Develop a six month moving average. Compute MSE and forecast the amount of sales for the next month. c) Use α = 0.2 to compute the exponential smoothing values. Compute MSE and forecast for the next month. d) Compare the result for the six month average and exponential smoothing. Which appears to provide a better…Can you identify a time series from the following? The number of "likes" on Gucci Facebook page for a new handbag, as of now Distance travelled by airline passengers for the top 4 airliners in 1965 Quarterly unemployment rate in Namibia, 2015-2020 Gross Domestic Product per capita of Zimbabwe in 2020