4. Simple Exponential Smoothing: Use a smoothing parameter, α = 0.3. Month Ft 1 2 3 4 5 678 9 10 No. of Cases (Xt) 105 115 120 120 125 125 130 140 145 150 Forecast for 11th month= et Mean Absolute Deviation (MAD) = Mean Absolute Percentage Error (MAPE) = Mean Squeared Error (MSE) = |e| % e Sq e Ft+1
4. Simple Exponential Smoothing: Use a smoothing parameter, α = 0.3. Month Ft 1 2 3 4 5 678 9 10 No. of Cases (Xt) 105 115 120 120 125 125 130 140 145 150 Forecast for 11th month= et Mean Absolute Deviation (MAD) = Mean Absolute Percentage Error (MAPE) = Mean Squeared Error (MSE) = |e| % e Sq e Ft+1
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
Related questions
Question
![4. Simple Exponential Smoothing:
Use a smoothing parameter, α = 0.3.
Ft
Month
1
2
3
4
5
6
7
8
9
10
No. of
Cases (Xt)
105
115
120
120
125
125
130
140
145
150
Forecast for 11th month=
et
Mean Absolute Deviation (MAD) =
Mean Absolute Percentage Error (MAPE) =
Mean Squeared Error (MSE) =
|e|
Page 5 of 7
% e
Sq e
Ft+1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe8402445-62c4-4433-b8ae-ca9fa7805b75%2F72eadd5e-7cd3-420b-9961-021ae9e5a2f8%2Fc56l26r_processed.jpeg&w=3840&q=75)
Transcribed Image Text:4. Simple Exponential Smoothing:
Use a smoothing parameter, α = 0.3.
Ft
Month
1
2
3
4
5
6
7
8
9
10
No. of
Cases (Xt)
105
115
120
120
125
125
130
140
145
150
Forecast for 11th month=
et
Mean Absolute Deviation (MAD) =
Mean Absolute Percentage Error (MAPE) =
Mean Squeared Error (MSE) =
|e|
Page 5 of 7
% e
Sq e
Ft+1
![5. Time Series Regression:
t
(1)
1
2
3
4
5
6
7
8
(2)
(3)
(4)
(5)
b=
a =
F₁ = a + bt =
Month
9
10
Forecast for
11th month=
No. of Cases
(xt)
105
115
120
120
125
125
130
140
145
150
X
105
115
120
120
125
Ft
Mean Absolute Deviation (MAD) =
Mean Absolute Percentage Error (MAPE) =
Mean Squeared Error (MSE) =
et
Page 6 of 7
tx
% e
t²
Sq e](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe8402445-62c4-4433-b8ae-ca9fa7805b75%2F72eadd5e-7cd3-420b-9961-021ae9e5a2f8%2F41vci7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:5. Time Series Regression:
t
(1)
1
2
3
4
5
6
7
8
(2)
(3)
(4)
(5)
b=
a =
F₁ = a + bt =
Month
9
10
Forecast for
11th month=
No. of Cases
(xt)
105
115
120
120
125
125
130
140
145
150
X
105
115
120
120
125
Ft
Mean Absolute Deviation (MAD) =
Mean Absolute Percentage Error (MAPE) =
Mean Squeared Error (MSE) =
et
Page 6 of 7
tx
% e
t²
Sq e
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