he following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 0 3 6 9 12 15 0 0- 0- 20- -0- 50- 0- et S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is (t)= 9.44t+84.182. 20- 0- 0- 0- 10- 0- 20¹ 85.851 108.426 3 141.781 169.256 202.297 222.266 6 12 se the above scatter plot to decide whether the linear model fits the data well. O The function is a good model for the data.
he following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 0 3 6 9 12 15 0 0- 0- 20- -0- 50- 0- et S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is (t)= 9.44t+84.182. 20- 0- 0- 0- 10- 0- 20¹ 85.851 108.426 3 141.781 169.256 202.297 222.266 6 12 se the above scatter plot to decide whether the linear model fits the data well. O The function is a good model for the data.
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
0
3
6
9
12
15
85.851
108.426
141.781
169.256
202.297
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-
804
12
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.
The function is not a good model for the data
Estimate the retails sales in the U. S. in 2016.
billions of dollars.
Use the model to predict the year in which retails sales will be $232 billion.
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