Use the model found above to answer this question. Using the revenue data for Jesaki Inc. for the past few years, we apply linear regression to the data to find a model y = 52.6 x– 808, %3D 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.
Use the model found above to answer this question. Using the revenue data for Jesaki Inc. for the past few years, we apply linear regression to the data to find a model y = 52.6 x– 808, %3D 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.
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.2: Arithmetic Sequences
Problem 68E
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