Walmart RevenueThe annual revenue of Walmart is given in the table below (source ).Walmart AnnualRevenue(Billions of US dollars)559.151Year20212020201920182017201620152014201320122011201020092008200720062005523.964514.405500.343485.873482.130485.651476.294468.651446.509421.849408.085404.254377.023348.368312.101284.310Apply linear regression to the data in the table to find a modely = mx + b,where y is Walmart's annual revenue in billions of US dollars, and a is the number of years since2000.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.

Given:A table of data: X y 559.151 2021 523.964 2020 514.405 2019 200.343 2018 485.873…

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

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Price($) W Price ($) A $3.98 $3.99 $2.28 $3.49 $3.08 $5.29 $0.58 $0.60 $2.00 $1.77 $8.98 $10.49 $3.94 $3.99 $3.50 $5.49 $1.50 $0.99 $2.18 $2.29 $3.88 $3.19 $2.78 $2.99 $2.12 $1.00 $0.88 $0.59 $2.64 $2.79 $0.98 $1.99 $0.98 $1.00 $0.75 $1.00 $0.28 $0.29 $2.98 $3.99 $2.82 $2.79 $0.94 $1.19 $1.47 $1.25 $5.48 $4.99 $3.98 $3.99 $3.48 $3.79 $1.08 $1.89 $1.08 $1.00 $1.00 $1.50 $0.58 $0.50 Trying to determine if A is more expenive than W. Test Your Claim for Using a 2 Sample Hypothesis Test with a 5% Level of Significance. 1. Define µ1 and µ2 2. Determine the null and alternate hypothesis and identify the claim. 3. Using technology find the test statistic and interpret it. 4. Make a decision of rejecting or failing to reject the null hypothesis. You can use the Classical Approach (using critical values) or the P-value Approach but you must thoroughly explain which method you used and walk me through your steps. 5. State your…
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Walmart Revenue The annual revenue of Walmart is given in the table below (source ). Walmart Annual Revenue (Billions of US dollars) 559.151 Year 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 523.964 514.405 500.343 485.873 482.130 485.651 476.294 468.651 446.509 421.849 408.085 404.254 377.023 348.368 312.101 284.310 Apply linear regression to the data in the table to find a model y = mx + b, where y is Walmart's annual revenue in billions of US dollars, and a is the number of years since 2000. Use the model y = mx + b with m rounded to the nearest tenth and 6 rounded to the nearest
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$X$	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