Essentials Of Business Analytics
Essentials Of Business Analytics
1st Edition
ISBN: 9781285187273
Author: Camm, Jeff.
Publisher: Cengage Learning,
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Chapter 3, Problem 11P

The International Organization of Motor Vehicle Manufacturers (officially known as the Organisation Internationale des Constructeurs d’Automobiles, OICA) provides data on worldwide vehicle production by manufacturer. The following table shows vehicle production numbers for four different manufacturers for five recent years. Data are in millions of vehicles.

Chapter 3, Problem 11P, The International Organization of Motor Vehicle Manufacturers (officially known as the Organisation

  1. a. Construct a line chart for the time series data for years 1 through 5 showing the number of vehicles manufactured by each automotive company. Show the time series for all four manufacturers on the same graph.
  2. b. What does the line chart indicate about vehicle production amounts from years 1 through 5? Discuss.
  3. c. Construct a clustered-bar chart showing vehicles produced by automobile manufacturer using the year 1 through 5 data. Represent the years of production along the horizontal axis, and cluster the production amounts for the four manufacturers in each year. Which company is the leading manufacturer in each year?
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Import Illinois.xls as a table. Using logical indexing to select the years with more than 2800 cases of Diabetes. Then plot all of the data on the same axis. F1 fx Homicide B C E Year Accidents Cancer Diabetes Heart Disease Homicide| Suicide 1999 4125 25024 3004 33387 1023 1020 3 2000 4041 25365 2995 31844 991 1003 4. 2001 4077 24778 3092 30990 1087 1139 2002 4222 24737 3011 30821 1016 1145 2003 3942 24464 3044 29816 966 1011 7. 2004 4133 24289 3069 28284 871 1028 8. 2005 4182 24250 3034 28226 866 1086 9. 2006 4451 24084 2795 27007 865 1010 10 2007 4367 24115 2851 25813 863 1108 11 2008 4218 24300 2846 26078 872 1198 12 2009 3961 24185 2741 24931 881 1177 13 2010 3997 24070 2507 24959 783 1178 14 2011 4166 24007 2693 24987 812 1226 15 2012 4488 24562 2706 24667 832 1292 16 2013 4511 24491 2798 17 24839 792 1321 2014 4644 24501 2712 18 25024 792 1398 2015 4850 24713 2817 25652 19 863 1363 20 21
(b) Estimate the standard errors of the slope and intercept. Round your answer to three decimal places (e.g. 98.765) se B, Round your answer to two decimal places (e.g. 98.76) se(bo ) = I (c) Test the hypothesis Ho: B1 = 10 versus H1:ß1 + 10using a = 0.01. v Họ and conclude the slope 10 at a = 0.01. (d) Test the hypothesis Ho: Bo = 0 versus H1: Bo # 0 using a = 0.01. Họ and conclude that the intercept v be included in the model.
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