Positive autocorrelation in the data


The following data show the daily closing prices (in dollars per share) for a stock. Period Price ($) 1 82.87 2 83.00 3 83.61 4 83.15 5 82.84 6 83.99 7 84.55 8 84.36 9 85.53 10 86.54 11 86.89 12 87.77 13 87.29 14 87.99 15 88.80 16 88.80 17 89.11 18 89.10 19 88.90 20 89.21 a. Define the independent variables 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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Basic Statistics: Positive autocorrelation in the data
Reference No:- TGS0733188

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