Mathematical Models In Exercises 9 and 10, (a) plot the actual data and the model of the same graph and (b) describe how closely the model represents the data. If the model does not closely represent the data, suggest another type of model that may be a better fit. The ordered pairs below give the civilian non-institutional U.S. populations y (in millions of people) 16 years of age and over not in the civilian labor force from 2006 through 2014. 2006 , 77.4 2011 , 86.0 2007 , 78.7 2012 , 88.3 2008 , 79.5 2013 , 90.3 2009 , 81.7 2014 , 92.0 2010 , 83.9 A model for the data is y = 1.92 t + 65.0 , 6 ≤ t ≤ 14 , where t represents the years, with t = 6 corresponding to 2006.
Mathematical Models In Exercises 9 and 10, (a) plot the actual data and the model of the same graph and (b) describe how closely the model represents the data. If the model does not closely represent the data, suggest another type of model that may be a better fit. The ordered pairs below give the civilian non-institutional U.S. populations y (in millions of people) 16 years of age and over not in the civilian labor force from 2006 through 2014. 2006 , 77.4 2011 , 86.0 2007 , 78.7 2012 , 88.3 2008 , 79.5 2013 , 90.3 2009 , 81.7 2014 , 92.0 2010 , 83.9 A model for the data is y = 1.92 t + 65.0 , 6 ≤ t ≤ 14 , where t represents the years, with t = 6 corresponding to 2006.
Solution Summary: The author illustrates how the model and the actual data are plotted on the same graph.
Mathematical Models In Exercises 9 and 10, (a) plot the actual data and the model of the same graph and (b) describe how closely the model represents the data. If the model does not closely represent the data, suggest another type of model that may be a better fit.
The ordered pairs below give the civilian non-institutional U.S. populations
y
(in millions of people) 16 years of age and over not in the civilian labor force from 2006 through 2014.
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