Use the model found above to answer this question. In what year will the estimated revenue of Amazon be 1,450 billion US dollars? Note: I am asking for the year, not the number of years since 2010. This may happen between two years. Round to the nearest year.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

F6

### Amazon Revenue

The annual revenue of Amazon is given in the table below ([source](#)).

| Year | Amazon Annual Revenue (Billions of US dollars) |
|------|-----------------------------------------------|
| 2020 | 386.064                                       |
| 2019 | 280.522                                       |
| 2018 | 232.887                                       |
| 2017 | 177.866                                       |
| 2016 | 135.987                                       |
| 2015 | 107.006                                       |
| 2014 | 88.988                                        |
| 2013 | 74.452                                        |
| 2012 | 61.093                                        |
| 2011 | 48.077                                        |
| 2010 | 34.204                                        |

See the [Regression](#) page in the Getting Started module for details on creating a regression model.

Apply linear regression to the data in the table to find a model

\[ y = mx + b, \]

where \( y \) is Amazon's annual revenue in billions of US dollars, and \( x \) is the number of years since 2010.
Transcribed Image Text:### Amazon Revenue The annual revenue of Amazon is given in the table below ([source](#)). | Year | Amazon Annual Revenue (Billions of US dollars) | |------|-----------------------------------------------| | 2020 | 386.064 | | 2019 | 280.522 | | 2018 | 232.887 | | 2017 | 177.866 | | 2016 | 135.987 | | 2015 | 107.006 | | 2014 | 88.988 | | 2013 | 74.452 | | 2012 | 61.093 | | 2011 | 48.077 | | 2010 | 34.204 | See the [Regression](#) page in the Getting Started module for details on creating a regression model. Apply linear regression to the data in the table to find a model \[ y = mx + b, \] where \( y \) is Amazon's annual revenue in billions of US dollars, and \( x \) is the number of years since 2010.
**Use the model found above to answer this question:**

**Question:** In what year will the estimated revenue of Amazon be 1,450 billion US dollars?

*Note:* I am asking for the year, not the number of years since 2010. This may happen between two years. Round to the nearest year.

**Answer:**

[Input box for answer]
Transcribed Image Text:**Use the model found above to answer this question:** **Question:** In what year will the estimated revenue of Amazon be 1,450 billion US dollars? *Note:* I am asking for the year, not the number of years since 2010. This may happen between two years. Round to the nearest year. **Answer:** [Input box for answer]
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 1 images

Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
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 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…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
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
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman