The following data show the daily closing prices (in dollars per share) for a stock.

• 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 the Period.
• At the .05 level of significance, test for any positive autocorrelation in the data.

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	89.2

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a For the given data we have to fit the regression equation Use Minitab to fin... View the full answer