Demand for Smartphones The following table shows worldwide sales of a type of phone and their average selling prices in 2012, 2013, and 2017.Year 2012 2013 2017Selling Price p ($100)4Sales q (billions) 0.53122Find the regression line (round coefficients to one decimal place).q(p) = 1.0166XUse the regression line to estimate the demand (in millions of units sold) when the selling price was $320.1016.6million

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Answered: Demand for Smartphones The following…

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. There are two break-even points. Find the larger production level where the company breaks even. Round to the nearest treadmill. treadmills
What is the dollar amount of change in sales for each new year according to the regression (slope) model? Do not use commas or $ in your answer.
X * 41 K * Example 6 35 34 40 33 Y 32 20 35 24 27 42 37 28 31 42 30 43 33 26 41 The table above shows the scores of 10 salespersons who took a test designed to assess their aptitude for the job (x) and their corresponding sales productivity scores (y). Calculate the regression line y= a+bx and interpret the value of the slope. Estimate the sales productivity score of a person whose aptitude score is 39.
A5 The model below explains CEO salary (salary) expressed in thousands of pounds as a function of a firm’s sales in million pounds (sales), the return on a firm’s equity (roe), and the industry in which the firm is operating. There are two industries in the sample, services and consumer goods. These industries are captured respectively by two dummy variables, service and goods. The regression based on a sample of 209 firms is as follows: salary = 4.5 + 0.27sales + 0.015roe – 0.08service (0.24) (0.03) (0.05) (0. 05) R-squared = 0.35 SSR(Residual Sum of Squares) = 42.9 Implement an F-test for whether the determinants of CEO salaries differ significantly between service and consumer goods industries. What do you conclude?
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
How much should a healthy Shetland pony weigh? Let x be the age of the pony (in months), and let y be the average weight of the pony (in kilograms). x 3 6 12 20 26 y 60 95 140 160 189 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? low moderate strong Would you say the correlation is positive or negative? positive negative (c) Use a calculator to verify that x = 67, x2 = 1265, y = 644, y2 = 93,546, and xy = 10,544. Compute r. (Round your answer to three decimal places.) As x increases from 3 to 26 months, does the value of r imply that y should tend to increase or decrease? Explain your answer. Given our value of r, y should…
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B-4 A toy store manager would like to know how the price can affect the sales of toys. In his data, he obtained 100 pairs of prices (unit: £) and volume of sales (unit: hundreds) for the toys. A simple linear regression was run with Sales as the dependent variable and Price as the independent variable with the following results. Regression Statistics R Square Adj. RSqr StErr of EST 0.876 0.767 0.701 4.184 Summary Table Variable Coeff. Std. Err Intercept 64.742 11.310 Price -2.645 0.602 (a) Write down the estimated regression equation. Explain this regression equation. (b) What's the value for R Square? Explain the meaning of this value. (c) Test the significance of the model at a=0.05 level. Write down the hypothesis you are testing, the statistic you use to evaluate the test, and your conclusion. (d) Use the regression output to construct a 99% confidence interval for the predicted sales when the price is set to be 15. (e) A colleague in the toy store claims that £1 increase in the…
statistic please answer
Cost Number 85 4 2 10 52 55 68 67 86 83 73 13. What is the value of the pearson.coefficient? 14. What is the slope of the regression line? 15. Which of the following is estimated number of products sold when the cost of the advertisement is 12,000 dallars A. 89250 B. 33517 C. 4283 D. 15
Use the cost model screenshot attached to answer the question. Thanks for the help. What is m? Round to 1 decimal place.
Grades on Midterm Grades on Final79 8464 7676 8385 9170 7586 7960 7975 8781 8263 63 The following table gives the data for the grades on the midterm exam and the grades on the final exam. Determine the equation of the regression line, yˆ=b0+b1x . Round the slope and y-intercept to the nearest thousandth.

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