|(Billions of US dollars) 2021 559.151 2020 523.964 2019 514.405 2018 500.343 2017 485.873 2016 482.130 2015 485.651 2014 476.294 2013 468.651 2012 446.509 2011 421.849 2010 408.085 2009 404.254 2008 377.023 2007 348.368 2006 312.101 2005 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 x is the number years since 2000.
|(Billions of US dollars) 2021 559.151 2020 523.964 2019 514.405 2018 500.343 2017 485.873 2016 482.130 2015 485.651 2014 476.294 2013 468.651 2012 446.509 2011 421.849 2010 408.085 2009 404.254 2008 377.023 2007 348.368 2006 312.101 2005 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 x is the number years since 2000.
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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please answer this in what year?
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The value x= 20 should be used in the model to predict the revenue of Walmart in what year?
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