Date Costs in billions ) Plot the data. (Lett be years since 1970 and H the costs in billions of dollars.) H H 2500 2000 1500- 1000 500 H 2500 2000 1500 1000 1970 1980 1990 2000 2010 2570 75 253 714 1353 500 10 10 20 H=72.438 x 1.143 H=993.002 x 1.002² H = 2560.371 x 0.872 20 30 30 40 40 2500 2000 1500 timate that value (Use the model found in part (b) Round: 1000- 500 H 2500 2000 1500 1000 500 10 10 20 20 30 30 40 to the nearest integer) 40 ) Find an exponential function that approximates the data for health care costs. (Lett be years since 1970 and H the costs in billions of dollars.) H= 94.414 x 1.091 H=3120.372 x 0.916 t t By what percent per year were national health care costs increasing during the period from 1970 through 2010? (Use the model found in part (b). Round your answer to one d % -1 1) Use functional notation to express how much money was spent on health care in the year 2014. (Lett be years since 1970.) 1x)
Date Costs in billions ) Plot the data. (Lett be years since 1970 and H the costs in billions of dollars.) H H 2500 2000 1500- 1000 500 H 2500 2000 1500 1000 1970 1980 1990 2000 2010 2570 75 253 714 1353 500 10 10 20 H=72.438 x 1.143 H=993.002 x 1.002² H = 2560.371 x 0.872 20 30 30 40 40 2500 2000 1500 timate that value (Use the model found in part (b) Round: 1000- 500 H 2500 2000 1500 1000 500 10 10 20 20 30 30 40 to the nearest integer) 40 ) Find an exponential function that approximates the data for health care costs. (Lett be years since 1970 and H the costs in billions of dollars.) H= 94.414 x 1.091 H=3120.372 x 0.916 t t By what percent per year were national health care costs increasing during the period from 1970 through 2010? (Use the model found in part (b). Round your answer to one d % -1 1) Use functional notation to express how much money was spent on health care in the year 2014. (Lett be years since 1970.) 1x)
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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For this exercise, round all regression parameters to three decimal places.
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