What is the MA3 forecast for Year 4, Q1? What is the weighted MA3 forecast for Year 4, Q1 with weights of 0.5, 0.33, and 0.17? What is the Exponential Smoothing forecast for Year 4, Q1 using alpha = 0.3? What is the Adjusted Exponential Smoothing forecast for Year 4, Q1 using alpha = 0.3 and beta = 0.5?
What is the MA3 forecast for Year 4, Q1? What is the weighted MA3 forecast for Year 4, Q1 with weights of 0.5, 0.33, and 0.17? What is the Exponential Smoothing forecast for Year 4, Q1 using alpha = 0.3? What is the Adjusted Exponential Smoothing forecast for Year 4, Q1 using alpha = 0.3 and beta = 0.5?
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.6: Exponential And Logarithmic Equations
Problem 6E
Related questions
Question
100%
What is the MA3 forecast for Year 4, Q1?
What is the weighted MA3 forecast for Year 4, Q1 with weights of 0.5, 0.33, and 0.17?
What is the Exponential Smoothing forecast for Year 4, Q1 using alpha = 0.3?
What is the Adjusted Exponential Smoothing forecast for Year 4, Q1 using alpha = 0.3 and beta = 0.5?

Transcribed Image Text:alpha
0.3
beta
0.5
Year
Quarter
Demand
МАЗ
MA5
WMA3
ES
Trend
AES
1
105
2
150
105.00
0.00
105.00
3
93
118.50
6.75
125.25
4
121
116.00
113.85
110.85
-0.45
110.40
1.
140
121.33
116.69
113.90
1.30
115.19
2.
170
118.00
121.80
125.74
121.73
4.56
126.29
3
105
143.67
134.80
151.77
136.21
9.52
145.73
150
138.33
125.80
132.40
126.85
0.08
126.93
3
200
141.67
137.20
138.55
133.79
3.51
137.31
2.
170
151.67
153.00
167.35
153.65
11.69
165.34
110
173.33
159.00
176.50
158.56
8.30
166.85
4
130
160.00
147.00
145.10
143.99
-3.14
140.85
136.67
152.00
130.20
139.79
-3.67
136.13
year
Ann. Dem.
year 4 prediction
s1
0.27
1
469
622.3333
s2
0.30
2
565
seasonally adjusted forecast for Year 4, Q1
s3
0.19
610
168.454
s4
0.24
SUMMARY OUTPUT
Regression Statistics
E Multiple R 0.841967
R Square
0.708909
Adjusted R 0.417818
Standard Ei 41.23308
Observatioi
3
2.

Transcribed Image Text:ANOVA
df
ignificance F
SS
MS
Regression
1
4140.5
4140.5
2.4353495 0.362795
Residual
1 1700.167 1700.167
Total
2 5840.667
Coefficients andard Errc
t Stat
P-value
Lower 95% Upper 95% ower 95.0%Jpper 95.0%
Intercept
X Variable :
440.3333
62.98457
6.991131 0.0904475 -359.9615 1240.628 -359.9615 1240.628
45.5 29.15619 1.560561 0.3627951 -324.9645
415.9645 -324.9645 415.9645
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Follow-up Questions
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Follow-up Question
What is the adjusted Exponential Smoothing forecast for Year 4, Q1 using alpha = 0.3 and beta = 0.5?
What is the predicted annual demand for year 4?
What is the seasonally adjusted forecast for year 4, Q1?
Solution
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