For a certain company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 84, 83, 84, 84, 85, 84, 82, 83, 85, and 83. (a) Construct a time series plot. 86 86 85 85 84 84 83 80 80
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- Construct a time-series plot for the following number of customers shopping at a new mall during a given week. Day Number of Customers Monday Tuesday Wednesday Thursday Friday Saturday 525 540 469 500 586 640The number of users of a certain website (in millions) from 2004 through 2011 follows. Year Period Users (Millions) 2004 1 1 2005 2 5 2006 3 11 2007 4 59 2008 5 146 2009 6 360 2010 7 608 2011 8 846 (a) Construct a time series plot. -A time series plot contains a series of 8 points connected by line segments. The horizontal axis ranges from 0 to 10 and is labeled: Period. The vertical axis ranges from 0 to 900 and is labeled: Millions of Users. The first point is at approximately (1, 850). The rest are plotted from left to right at regular increments of 1 period in a downward, diagonal direction that becomes less steep as period increases. The last point is at approximately (8, 0). -A time series plot contains a series of 8 points connected by line segments. The horizontal axis ranges from 0 to 10 and is labeled: Period. The vertical axis ranges from 0 to 900 and is labeled: Millions of Users. The first point is at approximately (1, 0). The rest are…corporate 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?
- The table below contains the average price paid for a new home in a certain area from 2000 to 2010. a. Construct a time-series plot of new home prices. b. What pattern, if any, is present in the data? Year Average_Price_($_thousands)2000 351.12001 330.52002 310.52003 296.72004 229.72005 182.32006 154.52007 156.32008 154.72009 154.52010 154.5canton 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.The 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…
- 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.Using the time series data in the table, respond to the following items. Period Sales 1 $ 615 2 676 3 761 4 710 5 784 6 801 7 852 8 698 9 1,193 10 1,115 11 1,231 12 1,259 13 1,495 14 1,229 15 1,652 16 1,337 17 1,673 18 1,613 Please show work, thanks.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.
- #4) Commuter ridership in Athens, Greece, during the summer months is believed to be heavily tied to the number of tourists visiting the city. During the past 12 years, the data are given in the following table. Year Number of Tourists (millions) Ridership (hundreds of thousands) 1 6 11 2 11 16 3 8 16 4 10 14 5 19 28 6 18 26 7 16 21 8 20 25 9 24 45 10 18 28 11 11 18 12 19 35 a) Create a time series plot for the ridership. b) Using linear regression to see if using the year is a good predictor for the ridership. What is the regression equation? How accurate is the model? c) Using linear regression to see if using the number of tourists is a good predictor for the ridership. What is the regression equation? How accurate is the model? d) Which linear regression equation is better? What is the expected ridership if 10 million tourists visit the city next year? e) Excel FileThe weekly demand (in cases) for a particular brand of automatic dishwasher detergent for a chain of grocery stores located in Columbus, Ohio, follows. Week Demand 1 22 2 18 3 23 4 21 5 17 6 24 7 20 8 19 9 18 10 21 (a) Construct a time series plot. -A time series plot contains a series of 10 points connected by line segments. The horizontal axis is labeled Week and ranges from 0 to 10. The vertical axis is labeled Demand (in cases) and ranges from 0 to 30. The points are plotted at regular increments of 1 week starting at week 1 and ending at week 10 and appear to vary randomly between 15 and 25 on the vertical axis. -A time series plot contains a series of 10 points connected by line segments. The horizontal axis is labeled Week and ranges from 0 to 10. The vertical axis is labeled Demand (in cases) and ranges from 0 to 30. The points are plotted at regular increments of 1 week starting at week 1 and ending at week 10. They start on the left around…Analyse the time series of the following supermarket sales data and present the results in graphical form, including a forecast for the daily sales in week 5. Supermarket sales (K000) for a particular period Week 1 Week 2 Week 3 Week 4 Monday 22 22 24 26 Tuesday 36 34 38 38 Wednesday 40 42 43 45 Thursday 48 49 49 50 Friday 61 58 62 64 Saturday 58 59 58 58