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sider the following quarterly time series. uarter Year 1 923 1,056 Year 2 992 1,112 1,243 1,124 1,124 Year 3 1,156 1,301 1,078 1,254 1,198 onstruct a time series plot. What type of pattern exists in the data? se a multiple regression model with dummy variables as follows to cts in the data. Qtr1= 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter Ompute the quarterly forecasts for next year based on the model d

sider the following quarterly time series. uarter Year 1 923 1,056 Year 2 992 1,112 1,243 1,124 1,124 Year 3 1,156 1,301 1,078 1,254 1,198 onstruct a time series plot. What type of pattern exists in the data? se a multiple regression model with dummy variables as follows to cts in the data. Qtr1= 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter Ompute the quarterly forecasts for next year based on the model d

MATLAB: An Introduction with Applications
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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Consider the following quarterly time series. Quarter 1 2 3 4 Year 1 923 Year 2 1,112 1,056 1,156 992 Year 3 1,078 1,243 1,124 1,124 1,254 1,301 1,198 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 based on the model developed in part b.
Transcribed Image Text:Consider the following quarterly time series. Quarter 1 2 3 4 Year 1 923 Year 2 1,112 1,056 1,156 992 Year 3 1,078 1,243 1,124 1,124 1,254 1,301 1,198 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 based on the model developed in part b.
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