Using the revenue data for Jesaki Inc. for the past few years, we apply linear regression to the data to find a model y = 41.4 x 841, where r' is Jesaki's annual revenue in billions of US dollars, and t is the number of years since 2000. Use this model, together with the revenue model you found for Walmart to answer the question below. When will Jesaki's revenue overtake Walmart? Note: I am asking for the year, not the number of years since 2000. This may happen between two years. Round to the nearest year.
Using the revenue data for Jesaki Inc. for the past few years, we apply linear regression to the data to find a model y = 41.4 x 841, where r' is Jesaki's annual revenue in billions of US dollars, and t is the number of years since 2000. Use this model, together with the revenue model you found for Walmart to answer the question below. When will Jesaki's revenue overtake Walmart? Note: I am asking for the year, not the number of years since 2000. This may happen between two years. Round to the nearest year.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question
Transcribed Image Text:Using the revenue data for Jesaki Inc. for the past few years, we apply linear regression to the data to
find a model
y = 41.4 x 841,
where 7' is Jesaki's annual revenue in billions of US dollars, and t is the number of years since 2000.
Use this model, together with the revenue model you found for Walmart to answer the question
below.
When will Jesaki's revenue overtake Walmart?
Note: I am asking for the year, not the number of years since 2000. This may happen between two
years. Round to the nearest year.
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
Expert Solution
Step 1
The revenue data for Jesaki Inc. for the past few years, the linear regression to the data is , where is Jesaki's annual revenue and is the number of years since .
The annual revenue of Walmart is given in the following table,
| Year | Walmart Annual Revenue (Billion of US dollars) |
|
2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 |
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 |
We have to find out when Jesaki's revenue overtakes Walmart.
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