Modern Business Statistics with Microsoft Excel (MindTap Course List)

5th Edition

ISBN: 9781285433301

Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams

Publisher: Cengage Learning

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Textbook Question

Chapter 16.6, Problem 27E

Refer to the Cravens data set in Table 16.5. In Section 16.3 we showed that the estimated regression equation involving Accounts, AdvExp, Poten, and Share had an adjusted coefficient of determination of 88.1%. Use the .05 level of significance and apply the Durbin–Watson test to determine whether positive autocorrelation is present.

TABLE 16.5 THE CRAVENS DATA

Chapter 16.6, Problem 27E, Refer to the Cravens data set in Table 16.5. In Section 16.3 we showed that the estimated regression

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Chapter 16.6, Problem 26E

Chapter 16, Problem 28SE

Chapter 16 Solutions

Modern Business Statistics with Microsoft Excel (MindTap Course List)

Ch. 16.1 - Consider the following data for two variables, x...Ch. 16.1 - Consider the following data for two variables, x...Ch. 16.1 - Prob. 3E Ch. 16.1 - A highway department is studying the relationship...Ch. 16.1 - In working further with the problem of exercise 4,...Ch. 16.1 - A study of emergency service facilities...Ch. 16.1 - Prob. 7E Ch. 16.1 - Prob. 8E Ch. 16.1 - Prob. 9E Ch. 16.2 - In a regression analysis involving 27...

Ch. 16.2 - Prob. 11E Ch. 16.2 - The Professional Golfers’ Association of America...Ch. 16.2 - Refer to exercise 12. Develop an estimated...Ch. 16.2 - A 10-year study conducted by the American Heart...Ch. 16.2 - Prob. 15E Ch. 16.5 - Prob. 19E Ch. 16.5 - Prob. 20E Ch. 16.5 - Prob. 21E Ch. 16.5 - Prob. 22E Ch. 16.5 - Prob. 23E Ch. 16.5 - Prob. 24E Ch. 16.5 - Prob. 25E Ch. 16.6 - The following data show the daily closing prices...Ch. 16.6 - Refer to the Cravens data set in Table 16.5. In...Ch. 16 - A sample containing years to maturity and yield...Ch. 16 - Consumer Reports tested 19 different brands and...Ch. 16 - A study investigated the relationship between...Ch. 16 - Refer to the data in exercise 28. Consider a model...Ch. 16 - Refer to the data in exercise 28. Develop an...Ch. 16 - Prob. 33SE Ch. 16 - The Ladies Professional Golf Association (LPGA)...Ch. 16 - Wine Spectator magazine contains articles and...

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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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