Walmart Revenue The annual revenue of Walmart is given in the table below (source B). Walmart Annual Revenue (Billions of US dollars) 559.151 523.964 514.405 500.343 485.873 482.130 485.651 476.294 468.651 446.509 421.849 408.085 404.254 377.023 348.368 312.101 284.310 Year 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Apply linear regression to the data in the table to find a model y = mx + b, where y is Walmart's annual revenue in billions of US dollars, and is the number of years since 2000. Use the model y = mx + b with m rounded to the nearest tenth and b rounded to the nearest
Walmart Revenue The annual revenue of Walmart is given in the table below (source B). Walmart Annual Revenue (Billions of US dollars) 559.151 523.964 514.405 500.343 485.873 482.130 485.651 476.294 468.651 446.509 421.849 408.085 404.254 377.023 348.368 312.101 284.310 Year 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Apply linear regression to the data in the table to find a model y = mx + b, where y is Walmart's annual revenue in billions of US dollars, and is the number of years since 2000. Use the model y = mx + b with m rounded to the nearest tenth and b rounded to the nearest
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
![Walmart Revenue
The annual revenue of Walmart is given in the table below (source ).
Walmart Annual
Revenue
(Billions of US dollars)
559.151
Year
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
523.964
514.405
500.343
485.873
482.130
485.651
476.294
468.651
446.509
421.849
408.085
404.254
377.023
348.368
312.101
284.310
Apply linear regression to the data in the table to find a model
y = mx + b,
where y is Walmart's annual revenue in billions of US dollars, and a is the number of years since
2000.
Use the model y = mx + b with m rounded to the nearest tenth and 6 rounded to the nearest](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F13a33e1d-5e4c-443e-9341-3bcc688aa553%2F20945135-dfc1-43cf-831b-bf12e556e62d%2F70yrzvf_processed.png&w=3840&q=75)
Transcribed Image Text:Walmart Revenue
The annual revenue of Walmart is given in the table below (source ).
Walmart Annual
Revenue
(Billions of US dollars)
559.151
Year
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
523.964
514.405
500.343
485.873
482.130
485.651
476.294
468.651
446.509
421.849
408.085
404.254
377.023
348.368
312.101
284.310
Apply linear regression to the data in the table to find a model
y = mx + b,
where y is Walmart's annual revenue in billions of US dollars, and a is the number of years since
2000.
Use the model y = mx + b with m rounded to the nearest tenth and 6 rounded to the nearest
![What is the estimated revenue of Walmart in 2046?
billion US dollars. Round to the nearest billion US dollars.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F13a33e1d-5e4c-443e-9341-3bcc688aa553%2F20945135-dfc1-43cf-831b-bf12e556e62d%2Fub67az_processed.png&w=3840&q=75)
Transcribed Image Text:What is the estimated revenue of Walmart in 2046?
billion US dollars. Round to the nearest billion US dollars.
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
Step 1
Given:
A table of data:
y | |
559.151 | 2021 |
523.964 | 2020 |
514.405 | 2019 |
200.343 | 2018 |
485.873 | 2017 |
482.13 | 2016 |
485.651 | 2015 |
476.294 | 2014 |
468.651 | 2013 |
446.509 | 2012 |
421.849 | 2011 |
408.085 | 2010 |
404.254 | 2009 |
377.023 | 2008 |
348.368 | 2007 |
312.101 | 2006 |
284.31 | 2005 |
To Find:
Applying linear regression to the given data in the table we have to find a model ;
Where is Walmart's annual revenue in billions of US dollars, and is the number of years.
Also, find the estimated revenue of Walmart in 2046.
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