The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995.Year Retail Sales03220210200190180170160-150-14013012011010069121590-80785.851108.426141.781169.256Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data isF(t) = 9.44t+84.182.202.297222.2666915Use the above scatter plot to decide whether the linear model fits the data well.O The function is not a good model for the dataO The function is a good model for the data.12Estimate 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 $230 billion.

A linear model for the data is F(t)=9.44t+84.182

Answered: The following table shows retail sales…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

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 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- 6 9 12 15 804 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 retails sales in the U. S. in 2012. billions of dollars. Use the model to predict the year that corresponds to retails sales of $233 billion.
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. 220- 210- 200- 190- 180- 170- 160- 150 140- 130 120- 110- 100- Year 0 3 90+ 801 6 9 12 15 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. Retail Sales 85.851 108.426 141.781 169.256 202.297 222.266 3 6 9 12
1. Estimate the retails sales in the U. S. in 2011. billions of dollars = 2. Use the model to predict the year that corresponds to retails sales of $249 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 3 6 210 200+ 190+ 180+ 170 160+ 150+ Let 5(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. 130 120 2104 12 15 200 90 85.851 108.426 141.781 169.256 202.297 222.266 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. 5. in 2014. billions of dollars. Use the model to predict the year in which retails sales will be $248 billion.
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Retail Sales 85.851 108.426 141.781 169.256 202.297 222.266 Year 0 3 6 9 12 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 6 9 12 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. 5. in 2014. billions of dollars. Use the model to predict the year that corresponds to retails sales of $233 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) 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 2016. In billions of dollars.Use the model to predict the year in which retails sales will be $243 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+84.182.36912158090100110120130140150160170180190200210220 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 Correct Estimate the retails sales in the U. S. in 2014. Incorrect billions of dollars. Use the model to predict the year in which retails sales will be $246 billion. Correct
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 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- 3 6 80 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 2012. billions of dollars. Use the model to predict the year that corresponds to retails sales of $232 billion.
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 85.851 3 108.426 6. 141.781 9. 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) = 9.44t + 84.182. 220- 210 200 190 180 170- 160 150- 140 130- 120- 110- 100 90- 12 80+
22. Operating Expenses: Amazon The following table shows Amazon's approximate net sales (revenue) and operating expenses in 2011-2014:69 26. Net Sales ($ billion) 50 60 70 80 Operating Expenses ($ billion) 11 16 23 25 a. Use this information to find a linear regression model for Amazon's operating expenses E (in billions of dol- lars) as a function of net sales S (in billions of dollars). Plot the data and regression line. b. Give the units of measurement and interpretation of the slope. c. What, according to the model, would Amazon need to earn in net sales for its operating expenses to be $5 bil- lion? (Round answer to the nearest billion dollars.) d. Based on the graph, would you say that the linear model is reasonable? Why or why not? 27.
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+84.182.36912158090100110120130140150160170180190200210220Use 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 retails sales in the U. S. in 2017. billions of dollars.Use the model to predict the year in which retails sales will be $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. Use the above scatter plot to decide whether the linear model fits the data well. Is the function is a good model for the data or is the function not a good model for the data:_________________________ Estimate the retails sales in the U. S. in 2017:_____________billions of dollars. Use the model to predict the year that corresponds to retails sales of $248 billion:________________

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS