EBK STATISTICS FOR BUSINESS & ECONOMICS
12th Edition
ISBN: 9780100460461
Author: Anderson
Publisher: YUZU
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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 ($) |
| Nov. 3 | 82.87 |
| Nov. 4 | 83.00 |
| Nov. 7 | 83.61 |
| Nov. 8 | 83.15 |
| Nov. 9 | 82.84 |
| Nov. 10 | 83.99 |
| Nov. 11 | 84.55 |
| Nov. 14 | 84.36 |
| Nov. 15 | 85.53 |
| Nov. 16 | 86.54 |
| Nov. 17 | 86.89 |
| Nov. 18 | 87.77 |
| Nov. 21 | 87.29 |
| Nov. 22 | 87.99 |
| Nov. 23 | 88.80 |
| Nov. 25 | 88.80 |
| Nov. 28 | 89.11 |
| Nov. 29 | 89.10 |
| Nov. 30 | 88.90 |
| Dec. 1 | 89.21 |
- a. Define the independent variable Period, where Period = 1 corresponds to the data for November 3, Period = 2 corresponds to the data for November 4, and so on. Develop the estimated regression equation that can be used to predict the closing price given the value of Period.
- b. At the .05 level of significance, test for any positive autocorrelation in the data.
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The "Dogs of the Dow" are the stocks listed on the Dow with the highest dividend yield. The following table shows the top 10 stocks of the "Dogs of the Dow" list for 2021, based on their performance the preceding year.
Symbol
Company
Price ($) as of 12/31/2020
Yield as of 12/31/2020
CVX
Chevron
84.45
6.11%
IBM
IBM
125.88
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WBA
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KO
Coca-Cola
54.84
2.99%
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(b)
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(c)
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Chapter 16 Solutions
EBK STATISTICS FOR BUSINESS & ECONOMICS
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