Estimate the retails sales in the U. S. in 2016. billions of dollars. Ilse the model to predict the year that corresponds to retails sales of $235 billion.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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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
85.851
3
108.426
141.781
169.256
12
202.297
15
222.266
Let S(t) be the retails sales in billions of dollars int 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-
6.
12
804
Use the above scatter plot to decide whether the linear model fits the data well.
The function is not a good model for the data
The function is 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 that corresponds to retails sales of $235 billion.
Hint: Help
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 3 108.426 141.781 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars int 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- 6. 12 804 Use the above scatter plot to decide whether the linear model fits the data well. The function is not a good model for the data The function is 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 that corresponds to retails sales of $235 billion. Hint: Help
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