STATISTICS F/BUSINESS+ECONOMICS-TEXT
13th Edition
ISBN: 9781305881884
Author: Anderson
Publisher: CENGAGE L
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Textbook Question
Chapter 16.6, Problem 27E
The following data show the daily closing prices (in dollars per share) for a stock.
| Date | Price ($) |
| Nov. 3 | 82.87 |
| Nov. 4 | 83.00 |
| Nov. 7 | 83.61 |
| Nov. 8 | 83.15 |
| Nov. 9 | 82.84 |
| Nov. 10 | 83.99 |
| Nov. 11 | 84.55 |
| Nov. 14 | 84.36 |
| Nov. 15 | 85.53 |
| Nov. 16 | 86.54 |
| Nov. 17 | 86.89 |
| Nov. 18 | 87.77 |
| Nov. 21 | 87.29 |
| Nov. 22 | 87.99 |
| Nov. 23 | 88.80 |
| Nov. 25 | 88.80 |
| Nov. 28 | 89.11 |
| Nov. 29 | 89.10 |
| Nov. 30 | 88.90 |
| Dec. 1 | 89.21 |
- a. Define the independent variable Period, where Period = 1 corresponds to the data for November 3, Period = 2 corresponds to the data for November 4, and so on. Develop the estimated regression equation that can be used to predict the closing price given the value of Period.
- b. At the .05 level of significance, test for any positive autocorrelation in the data.
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Chapter 16 Solutions
STATISTICS F/BUSINESS+ECONOMICS-TEXT
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