25. Consider the following time series data: Quarter 1 2 3 4 Year 1 4 2 3 5 Year 2 6 3 5 7 Year 3 7 6 6 8 a. Construct a time series plot. What type of pattern exists in the data? b. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1= 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. c. Compute the quarterly forecasts for next year.
25. Consider the following time series data: Quarter 1 2 3 4 Year 1 4 2 3 5 Year 2 6 3 5 7 Year 3 7 6 6 8 a. Construct a time series plot. What type of pattern exists in the data? b. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1= 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. c. Compute the quarterly forecasts for next year.
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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