The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 0 85.851 3 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let S(t)S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t)=9.44t+84.182F(t)=9.44t+84.182. Estimate the retails sales in the U. S. in 2012. Use the model to predict the year that corresponds to retails sales of $250 billion.
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 0 85.851 3 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let S(t)S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t)=9.44t+84.182F(t)=9.44t+84.182. Estimate the retails sales in the U. S. in 2012. Use the model to predict the year that corresponds to retails sales of $250 billion.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995.
Year | Retail Sales |
---|---|
0 | 85.851 |
3 | 108.426 |
6 | 141.781 |
9 | 169.256 |
12 | 202.297 |
15 | 222.266 |
Let S(t)S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t)=9.44t+84.182F(t)=9.44t+84.182.
Estimate the retails sales in the U. S. in 2012.
Use the model to predict the year that corresponds to retails sales of $250 billion.
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