The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 85.851 3 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let 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 + 84.182. 220 210 200 190- 180 170- 160 150 140 130 120 110 100 90 9 12 15 804 Use the above scatter plot to decide whether the linear model fits the data well. O The function is a good model for the data. O The function is not a good model for the data Estimate the retails sales in the U. S. in 2014. billions of dollars. Use the model to predict the year that corresponds to retails sales of $232 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 85.851 3 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let 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 + 84.182. 220 210 200 190- 180 170- 160 150 140 130 120 110 100 90 9 12 15 804 Use the above scatter plot to decide whether the linear model fits the data well. O The function is a good model for the data. O The function is not a good model for the data Estimate the retails sales in the U. S. in 2014. billions of dollars. Use the model to predict the year that corresponds to retails sales of $232 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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Transcribed Image Text:The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995.
Year
Retail Sales
85.851
3
108.426
6
141.781
9
169.256
12
202.297
15
222.266
Let 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 + 84.182.
220
210
200
190-
180
170-
160
150
140
130
120
110
100
90
9
12
15
804
Use the above scatter plot to decide whether the linear model fits the data well.
O The function is a good model for the data.
O The function is not a good model for the data
Estimate the retails sales in the U. S. in 2014.
billions of dollars.
Use the model to predict the year that corresponds to retails sales of $232 billion.
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