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Determining Variation In Exercises 35-38, determine whether the variation model represented by the ordered pairs
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Chapter 3 Solutions
College Algebra
- Determining Variation In Exercises 35-38, determine whether the variation model represented by the ordered pairs (x,y) is of the form y=kx or y=k/x, and find k. Then write a model that relates y and x. (5,24),(10,12),(15,8),(20,6),25,245arrow_forwardDirect Variation In Exercises 19-24, find a direct variation model that relates y and x. x=2,y=14arrow_forwardDirect Variation In Exercises 19-24, find a direct variation model that relates y and x. x=,y=1arrow_forward
- Direct Variation as an nthPower In Exercises 25-28, use the given values of k and n to complete the table for the direct variation modely=kxn. Plot the points in a rectangular coordinate system. k=1,n=2arrow_forwardMathematical 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. 2006,77.42011,86.02007,78.72012,88.32008,79.52013,90.32009,81.72014,92.02010,83.9 A model for the data is y=1.92t+65.0,6t14, where t represents the years, with t=6 corresponding to 2006.arrow_forwardPharmacology The percent p of prescriptions filled with generic drugs at CVS Pharmacies from 2008 through 2014 (see figure) can be approximated by the model pt=2.77t+45.2,8t111.95t+55.9,12t14 where t represents the year, with t=8 corresponding to 2008. Use this model to find the percent of prescriptions filled with generic drugs in each year from 2008 through 2014.arrow_forward
- 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 revenues y (in billions of dollars) for Activision Blizzard, Inc., from 2008 through 2014. 2008,3.032012,4.862009,4.282013,4.582010,4.452014,4.412011,4.76 A model for the data is y=0.184t+2.32,8t14, where t represents the year, with t=8 corresponding to 2008.arrow_forwardPopulation Statistics The table shows the life expectancies of a child (at birth) in the United States for selected years from 1940 through 2010. A model for the life expectancy during this period is y=63.6+0.97t1+0.01t,0r70 Where y represents the life expectancy and t is the time in years, with t=0 corresponding to 1940. (a) Use a graphing utility to graph the data from the table and the model in the same viewing window. How well does the model fit the data? Explain (b) Determine the life expectancy in 1990 both graphically and algebraically. (c) Use the graph to determine the year when life expectancy was approximately 70.1. Verify your answer algebraically. (d) Identify the y-intercept of the graph of the model. What does it represent in the context of the problem? (e) Do you think this model can be used to predict the life expectancy of a child 50 years from now? Explainarrow_forward
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