Amazon RevenueThe annual revenue of Amazon is given in the table below (source ).Year20202019201820172016201520142013201220112010Amazon AnnualRevenue(Billions of US dollars)386.064280.522232.887177.866135.987107.00688.98874.45261.09348.07734.204See the Regression page in the Chapter 1: Linear Equations and Graphs module for details oncreating a regression model.Apply linear regression to the data in the table to find a modely = mx + b,where y is Amazon's annual revenue in billions of US dollars, and is the number of years since2010. What is the estimated revenue of Amazon in 2089?billion US dollars. Round to the nearest billion US dollars.

Answered: Image /qna-images/answer/c968337e-e5c0-47c9-a5fe-cadc6ae30336.jpg

Answered: Amazon Revenue The annual revenue of…

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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A. Write the estimated model. Compute and interpret the adequacy of the regression model. Estimated Model: ______________________________________________________ Model Adequacy: ____________ Interpretation: B. Is the quadratic regression term is significant at α=5%. Ho (symbols and words): ______________________________________________________________ p-value: _______________ Conclusion: ___________________________
extra 2
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 34 years. Is the result within 5 years of the actual Best Actor winner, whose age was 47 years? Best Actress 27 32 28 59 32 34 46 28 64 23 43 54 Best Actor 42 36 37 43 48 47 60 53 40 53 45 34 Find the equation of the regression line. y=_ +(_)x
Use the linear regression models above to answer this question. There are two break-even points. Find the smaller production level where the company breaks even. Round to the nearest treadmill. treadmills attached ss thanks
Production Volume (units) Total Cost ($) 100 1730 200 2792 300 4129 400 5385 500 6497 600 7764 700 8835 800 10180 900 11412 Which of the following is your estimated regression equation? Total Cost = 468 + 12.1(Production Volume) + e Production Volume = 468 + 12.1(Total Cost) + e Total Cost = 468(Production Volume) + 12.1 + e Production Volume = 468(Total Cost) + 12.1 + e Will you reject the null hypothesis that the slope is zero at a significance level of 1%? Yes No Not enough information What is the R-square from your regression analysis? (Round your answer to four decimal places.) Which of the following is the correct interpretation of the R-square? Production volume explains 99.96% of the variation in total cost. Total cost explains 99.96% of the variation in production volume. The dependent variable explains 99.96% of the variation in the independent variable. 96% of the data points are…
Amazon Revenue The annual revenue of Amazon is given in the table below (source ). Year 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 Amazon Annual Revenue (Billions of US dollars) 386.064 280.522 232.887 177.866 135.987 107.006 88.988 74.452 61.093 48.077 34.204 See the Regression page in the Chapter 1: Linear Equations and Graphs module for details on creating a regression model. Apply linear regression to the data in the table to find a model y = mx + b, where y is Amazon's annual revenue in billions of US dollars, and is the number of years since 2010.
5
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Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 31 years. Is the result within 5 years of the actual Best Actor winner, whose age was 38 years? Best Actress Best Actor 27 31 29 59 33 42 38 36 43 53 34 47 22 46 55 39 57 45 33 44 28 63 62 49 *** Find the equation of the regression line. ŷ=0+0x (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.)
The median household incomes in South Carolina from 2013 and 2017 are listed in the table below. (Source: “South Carolina Household Income.” Department of Numbers, https://www.deptofnumbers.com/income/south-carolina/) Year 2013 2014 2015 2016 2017 Median Household Income $46,548 $46,887 $48,876 $50,566 $50,570 Determine the linear regression model, I(t), where t = years since 2013 and I = Median Household Income. A. I(t) = 1172.3t + 46548 B. I(t) = 1172.3t + 46345 C. I(t) = 1172.3t D. I(t) = 1172.3t - 2E+06
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[Simple Linear Regression] How do you solve this?

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