The following data show the daily closing prices (in dollars per share) for a stock. Date Nov. 3 Nov. 4 Nov. 7 Nov. 8 Nov. 9 Nov. 10 Nov. 11 Nov. 14 Nov. 15 Nov. 16 Nov. 17 Nov. 18 Nov. 21 Nov. 22 Nov. 23 Nov. 25 Nov. 28 89.60 Nov. 29 88.89 Nov. 30 88.07 Dec. 1 88.61 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 (to 3 decimals). Price = Period b. At the 0.05 level of significance, test for any positive autocorrelation in the data. What is the value of the Durbin-Watson statistic (to 3 decimals)? Price ($) 82.92 83.67 82.36 82.42 82.79 83.63 84.21 84.53 85.42 86.21 86.70 87.65 87.37 87.91 88.41 88.25 +
The following data show the daily closing prices (in dollars per share) for a stock. Date Nov. 3 Nov. 4 Nov. 7 Nov. 8 Nov. 9 Nov. 10 Nov. 11 Nov. 14 Nov. 15 Nov. 16 Nov. 17 Nov. 18 Nov. 21 Nov. 22 Nov. 23 Nov. 25 Nov. 28 89.60 Nov. 29 88.89 Nov. 30 88.07 Dec. 1 88.61 a. Define the independent variable Period, where Period = 1 corresponds to the data for November 3, Period 2 corresponds to the data for November 4, and so on. Develop the estimated regression equation that can be used to predict the closing price given the value of Period (to 3 decimals). Price = Period b. At the 0.05 level of significance, test for any positive autocorrelation in the data. What is the value of the Durbin-Watson statistic (to 3 decimals)? Price ($) 82.92 83.67 82.36 82.42 82.79 83.63 84.21 84.53 85.42 86.21 86.70 87.65 87.37 87.91 88.41 88.25 +
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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