The number of initial public offerings of stock issued in a 10-year period and the total proceeds of these offerings (in millions) are shown in the table. Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 587. The equation of the regression line is y = 32.454x + 17,727.643. 498 383 19,976 28,472 44,105 31,788 35,408 36,314 20,605|10,019 32,012 28,955 Issues, x 415 472 687 497 178 50 63 158 Proceeds, Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 587. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest million dollars as needed. Type your answer in standard form where "3.12 million" means 3,120,000.) O A. There is a 95% chance that the predicted proceeds given 587 issues is between $ and $ O B. We can be 95% confident that when there are 587 issues, the proceeds will be between $ and $

Find the mean hourly cost when the cell phone described above is used for 240 minutes.

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?

What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?