create a graph and make the forecast described. Create graph: 1) Use one series of data (one line) over the entire 3 year period. Make sure the month/year is displayed on the x-axis. Use good graphing techniques. Make a forecast: 2) Determine the annual regression forecast for 2020. See tab labeled "Regression." 3) Determine the seasonally adjusted forecast for Jan 2020. This will require you to calculate the seasonal index for Jan 2020. Then adjust the annual regression forecast that you made for 2020 into a seasonally adjusted forecast for Jan 2020. 4) Comment about why this forecast is an appropriate model or not. Use information from the various steps/questions above.
create a graph and make the forecast described. Create graph: 1) Use one series of data (one line) over the entire 3 year period. Make sure the month/year is displayed on the x-axis. Use good graphing techniques. Make a forecast: 2) Determine the annual regression forecast for 2020. See tab labeled "Regression." 3) Determine the seasonally adjusted forecast for Jan 2020. This will require you to calculate the seasonal index for Jan 2020. Then adjust the annual regression forecast that you made for 2020 into a seasonally adjusted forecast for Jan 2020. 4) Comment about why this forecast is an appropriate model or not. Use information from the various steps/questions above.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:TextBox 1
X
35
36
37
38
39
A
B
Ice Cream Demand
Month Demand
Jan-17
Feb-17
Mar-17
1
2
3
5000
4
5500
5
5300
6 Apr-17
7500
7
May-17
8000
8
Jun-17
8700
9
Jul-17
9300
10 Aug-17 10400
11 Sep-17
8300
12 Oct-17
7400
13 Nov-17
4500
14
Dec-17
4100
15
Jan-18
5100
16
Feb-18
5300
17 Mar-18
5400
18 Apr-18
7600
19 May-18
8500
20 Jun-18
8800
21
Jul-18
9900
22 Aug-18 10600
23 Sep-18
8600
24 Oct-18
7800
25 Nov-18
4600
26 Dec-18
4200
27 Jan-19
5300
28 Feb-19
6200
29
Mar-19
5800
30 Apr-19
8300
31 May-19
9000
32
Jun-19
9500
33
Jul-19
9800
34
Aug-19
11400
Sep-19
8500
Oct-19
8000
Nov-19
4800
Dec-19
4600
C
fx
D
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Total
E
F
Ice Cream Demand
2017
5000
5500
5300
7500
8000
8700
9300
10400
8300
7400
4500
4100
84000
2018
5100
5300
5400
7600
8500
8800
9900
10600
8600
7800
4600
4200
86400
G
2019
5300
6200
5800
8300
9000
9500
9800
11400
8500
8000
4800
4600
91200
H
I
J
K
L
M
N
O
P
Q
R
Make a forecast:
2) Determine the annual regression forecast for 2020. See tab labeled "Regression."
S
create a graph and make the forecast described.
Create graph:
1) Use one series of data (one line) over the entire 3 year period. Make sure the month/year is
displayed on the x-axis. Use good graphing techniques.
3) Determine the seasonally adjusted forecast for Jan 2020. This will require you to calculate the
seasonal index for Jan 2020. Then adjust the annual regression forecast that you made for 2020 into
seasonally adjusted forecast for Jan 2020.
T
4) Comment about why this forecast is an appropriate model or not. Use information from the various
steps/questions above.
U
V
W
X
Y
N
AA
AB
AC
AD
A
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