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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Use the linear regression models above to answer this question. Estimate the variable cost per treadmill. Round to the nearest dollar. $ per treadmill produced use ss attached to answer thanks
A. run a simple regression- dependent variable is Weeks, independent variable is Age. B. run a multiple regression with dependent variable weeks and independent variable-age, married, head, manager and sales. C. Create the regular and standardized residual plots for both. Please show the tables when entering values of the regression for both the outputs and the scatter plots.
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 58 years. Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? Best Actress Best Actor27 4129 3529 3658 4430 5131 4745 6228 4961 4022 5843 4557 35 Find the equation of the regression line. Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.) The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 58 years is Round to the nearest whole number as needed.) Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? years old V the predicted age is V the actual winner's age.
KidsFeet Regression Line y-Intercept The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following Research Question: How is the width of a fourth-grade student's foot related to the length? Which of the following is the y-intercept of the regression line? ## ## Simple Linear Regression## ## Correlation coefficient r = 0.6411 ## ## Equation of Regression Line:## ## length = 9.817 + 1.658 * width ## ## Residual Standard Error: s = 1.025 ## R^2 (unadjusted): R^2 = 0.411 ( ) 1.0248 ( ) 1.6576 ( ) 22.8153 ( ) 0.411 ( ) 9.8172 ( )0.6411
Violent crime rates in the United States are shown in the table for various years. Year Number of Violent Crimes per 100,00 people 1990 730 1995 685 2000 507 2005 469 2009 432 2016 386 (a) Find a linear model for f(a). Round all numbers to 3 decimal places.
Use screenshot attached to answer question thanks What is the weekly fixed cost of producing sleeping bags? Round to the nearest integer. $
Use the linear regression models above to answer this question. There are two break-even points. Find the larger production level where the company breaks even. Round to the nearest treadmill. treadmills
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: ___________________________
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Regression Plot: 3750 3700 3650 Number of establishment 3600 3550 3500 3450 3400 3350 3300 3250 0 1000 • 2000 • A ♥ MI 3000 Guest night MI 4000 13 5000 Study the output and answer the following questions; b. From the plot, comment on the relationship between number of establishments and guest nights?
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.

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