Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 12 8.03 4 5.23 6 6.69 10 12 14 8.65 6.13 7. 12 X 9 y 7.67 6.91 13.25 7.14 8.19 5.82 OC. OD. O A. OB. 25 Ay 25 25 201 25 20 20- 20 15 154 15 15 105 10 10 10 53 55 55 O Ó 10 15 20 25 -0- 0 5 10 15 20 25 O5 10 15 20 25 O $ 10 15 20 25 Find the equation of the regression line. (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. O A. There is no trend in the data B. There is no characteristic of the data that is ignored by the regression line. OC. The data has a pattern that is not a straight line. O D. There is an influential point that strongly affects the graph of the regression line

Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 12 8.03 4 5.23 6 6.69 10 12 14 8.65 6.13 7. 12 X 9 y 7.67 6.91 13.25 7.14 8.19 5.82 OC. OD. O A. OB. 25 Ay 25 25 201 25 20 20- 20 15 154 15 15 105 10 10 10 53 55 55 O Ó 10 15 20 25 -0- 0 5 10 15 20 25 O5 10 15 20 25 O $ 10 15 20 25 Find the equation of the regression line. (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. O A. There is no trend in the data B. There is no characteristic of the data that is ignored by the regression line. OC. The data has a pattern that is not a straight line. O D. There is an influential point that strongly affects the graph of the regression line

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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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?
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