Answer 13, 14, 15 For numbers 13-15: the paired data below consist of the costs of advertising (in thousanddollars) and the number of products sold (in thousand)Cost9.34.59.10Number 855255686786837313. What is the value of the Pearson's coefficient r?b. -0.071c. 0.24614. What is the slope of the regression line? Ca. 0.708d. 0.235a. 55.788b. 0.708c. 2.788d. 1.00015. Which of the following is the estimated number of products sold when the cost of theadvertisement is 12 000 dollars?a. 89 250b. 33 517C. 4 283d. 15golected

Name: Answer 13, 14, 15 For numbers 13-15: the paired data below consist of
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Description: Answer 13, 14, 15 For numbers 13-15: the paired data below consist of the costs of advertising (in thousanddollars) and the number of products sold (in thousand)Cost9.34.59.10Number 855255686786837313. What is the value of the Pearson's coefficient r

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For numbers 13- 15: the paireo below ng (in thôusand dollars) and the number of products sold (in thousand) Cost 9. 3. 4 6. 10 Number 85 52 55 68 67 86 83 73 B. What is the value of the Pearson's coefficient r? a. 0.708 4 What is the slope of the regression line? b. -0.071 c. 0.246 d. 0.235

For numbers 13- 15: the paireo below ng (in thôusand dollars) and the number of products sold (in thousand) Cost 9. 3. 4 6. 10 Number 85 52 55 68 67 86 83 73 B. What is the value of the Pearson's coefficient r? a. 0.708 4 What is the slope of the regression line? b. -0.071 c. 0.246 d. 0.235

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 41RE: For the following exercises, consider the data in Table 5, which shows the percent of unemployed in...

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For the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.
For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina city of people 25 years or older who are college graduates is given below, by year. 40. Based on the set of data given in Table 6, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient to three decimal places.
For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracy
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Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
For the following exercises, consider this scenario: The profit of a company decreased steadily overa ten-year spam.The following ordered pairs shows dollars and the number of units sold in hundreds and the profit in thousands ofover the ten-year span, (number of units sold, profit) for specific recorded years: (46,600),(48,550),(50,505),(52,540),(54,495). Use linear regression to determine a function Pwhere the profit in thousands of dollars depends onthe number of units sold in hundreds.
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