Statistics for Engineers and Scientists
4th Edition
ISBN: 9780073401331
Author: William Navidi Prof.
Publisher: McGraw-Hill Education
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Textbook Question
Chapter 7.4, Problem 14E
The article “Characteristics and Trends of River Discharge into Hudson, James, and Ungava Bays, 1964–2000” (S. Déry, M. Stieglitz, et al., Journal of Climate, 2005:2540–2557) presents measurements of discharge rate x (in km3/yr) and peak flow y (in m3/s) for 42 rivers that drain into the Hudson, James, and Ungava Bays. The data are shown in the following table:
- a. Compute the least-squares line for predicting y from x. Make a plot of residuals versus fitted values.
- b. Compute the least-squares line for predicting y from ln x. Make a plot of residuals versus fitted values.
- c. Compute the least-squares line for predicting ln y from ln x. Make a plot of residuals versus fitted values.
- d. Which of the three models (a) through (c) fits best? Explain.
- e. Using the best model, predict the peak flow when the discharge is 50.0 km3/yr.
- f. Using the best model, find a 95% prediction interval for the peak flow when the discharge is 50.0 km3/yr.
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Chapter 7 Solutions
Statistics for Engineers and Scientists
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