3) Consider the following time series. Year 1 71 49 58 78 Quarter 1 2 3 4 Year 2 68 41 60 81 Year 3 62 51 53 72 a) Construct a time series plot. What type of pattern exists in the data? b) Use a multiple linear 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 forecast for the next year.
3) Consider the following time series. Year 1 71 49 58 78 Quarter 1 2 3 4 Year 2 68 41 60 81 Year 3 62 51 53 72 a) Construct a time series plot. What type of pattern exists in the data? b) Use a multiple linear 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 forecast for the 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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