Statistics for Business & Economics, Revised (MindTap Course List)
Statistics for Business & Economics, Revised (MindTap Course List)
12th Edition
ISBN: 9781285846323
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: South-Western College Pub
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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
  1. 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.
  2. b. At the .05 level of significance, test for any positive autocorrelation in the data.
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Statistics for Business & Economics, Revised (MindTap Course List)

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