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) $ be the retail sales in billions of dollars in $ t $ years since 1995. A linear model for the data is $ S(t) = 9.44t + 84.182 $.Graph Explanation:The scatter plot shows data points representing retail sales over time, plotted as blue dots. A line of best fit, represented by a straight black line, is drawn through the data points to illustrate the linear model. The x-axis represents years since 1995, while the y-axis represents retail sales in billions of dollars.Use the above scatter plot to decide whether the linear model fits the data well.- [ ] The function is a good model for the data.- [ ] The function is not a good model for the data.Estimate the retail sales in the U.S. in 2017: _____ billions of dollars. (Round your answer to the nearest billion.)Use the model to predict the year that corresponds to retail sales of $246 billion: _____.

Given : S(t) = 9.44×t + 84.182 From above scatter plot we can observe that all data points lies on…

The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 85.851 108.426 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 s(t) = 9.44t + 84.182. 220- 210- 200 190 180- 170 160- 150 140 130 120 110- 100- 90 12 804 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 2017. billions of dollars. (Round your answer to the nearest billion.) Use the model to predict the year that corresponds to retails sales of $246 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 85.851 108.426 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 s(t) = 9.44t + 84.182. 220- 210- 200 190 180- 170 160- 150 140 130 120 110- 100- 90 12 804 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 2017. billions of dollars. (Round your answer to the nearest billion.) Use the model to predict the year that corresponds to retails sales of $246 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 85.851 3 108.426 6 141.781 9. 169.256 12 202.297 222.266 15 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 3. 9 12 Use the above scatter plot to decide whether the linear model fits the data well. O The function is not a good model for the data O The function is a good model for the data. Estimate the retails sales in the U. S. in 2016. billions of dollars. hp
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