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
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a7 8
H
U
1
Quarter
1
2
(
34
9
O
J
K
3) Consider the following time series.
Year 1
71
49
58
78
0
P
{
Year 2
68
41
60
81
[
||
}
1
1
backspace home
1
enter
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.
pgup
pgdn
Transcribed Image Text:* a7 8 H U 1 Quarter 1 2 ( 34 9 O J K 3) Consider the following time series. Year 1 71 49 58 78 0 P { Year 2 68 41 60 81 [ || } 1 1 backspace home 1 enter 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. pgup pgdn
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