The table below shows retail sales at drug stores in the United States in billions of dollars since 2000.Year Retail Sales0369121585.851108.426141.781169.256202.297222.266220200-180-160-140-120100804The graph shows a scatterplot of the data and the linear model y = 9.44x+84.182, where y isbillions of dollars and is years since 2000.A) Is the line a good model for the data?The line is a good model for the data.The line is not a good model for the data8 10 12 14B) Use the graph of the model to estimate what retails sales were in 2011.billions of dollarsC) Use the equation of the model to predict the year when retails sales will reach $249 billion.

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Answered: The table below shows retail sales at…

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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The below data represent the advertising expenditure and sales of Liu Liu Ltd from year 2010 to 2019. Table: Advertising Expenditure vs. Sales from 2010 to 2019 Year Advert. Expenditure Sales Growth rate of Ad. Expenditure Growth rate of Sales (x, £000) (y, £000) 2010 19 84 2011 22 108 18% 29% 2012 32 82 46% -24% 2013 42 86 32% 6% 2014 47 84 11% -3% 2015 46 94 -2% 11% 2016 58 103 27% 10% 2017 63 115 8% 12% 2018 70 106 11% -8% 2019 80 142 15% 34% Total 479 1004 a. What is the statistical relationship shown in the table and list out 3 characteristics of this relationship?
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The following table present quarterly sales for a company over the three years (a) Fit the trend as a linear function of time t and predict the sales for the 4th year? Year 2 Year 3 309 405 326 429 369 446 416 465 quarter 1 2 3 4 Year 1 241 263 273 292
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The Cloud World IT cloud services revenues from2009 and projected to 2015 are shown in the table.a. Create a scatter plot for the data with y equal tothe billions of dollars of revenue and x equal to thenumber of years after 2000.b. Use the scatter plot to determine whether the datacan be fit exactly by a linear function.
A hotel is monitoring how the number of increases in price affects the weekly profit. The table models the weekly profit, y, after a given number of price increases, x. Which type of models would best fit the data?
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. 220- 210- 200 190- 180- 170- 160- 150- 140- 130- 120- 110 100 Year Retail Sales 0 3 6 9 12 15 Let y be the retail sales in billions of dollars in x years since 1995. A linear model for the data is Y = 9.44x + 84.182. 90- 80¹ 85.851 108.426 141.781 169.256 202.297 222.266 6 9 12 Use the above scatter plot to decide whether the linear model fits the data well. The function is a good model for the data. O The function is not a good model for the data Estimate the retails sales in the U. S. in 2017. billions of dollars. Use the model to predict the year in which retails sales will be $235 billion.
Graph the scatterplot and find the equation of the regression line GDP. CO2 emissions (in millions metric tons) 1.7. 552.6 1.2. 462.3 2.5. 475.4 2.8. 374.3 3.6. 748.5 2.2. 400.9 0.8. 253.0 1.5. 318.6 2.4. 496.8 5.9. 1180.6
The scatter plot shows the relationship between the number of minutes studying for a test (x) and the Score earned (y). Make a scatterplot for the data. Time Studying (x) 40 50 60 70 80 90 100 110 Score (y) 2 3 6 7 9. +H+ 10 6. -7- 4 3 1- 10, 10 20 30 40 50 60 70 80 90 100 110 12 7:04 PM Desktop 12/8/2026
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