Suppose you are given the following data. You have run a three month moving average and found the forecasts, difference, and difference squared between the demand and forecasts. Note, the forecasts, difference, and difference squared have been rounded to two decimal places in the table. Month June 1 July 2 August 3 September 4 October 5 November 6 December 7 8 9 10 11 12 January February March April May O93.44 353.87 Time Determine the MSE (mean square error). 39.32 29.49 Actual Demand 93 96 96 83 94 94 87 97 86 93 89 99 Forecast 95.00 91.67 91.00 90.33 91.67 92.67 90.00 92.00 89.33 Difference Difference Squared -12.00 2.33 3.00 -3.33 5.33 -6.67 3.00 -3.00 9.67 144.00 5.44 9.00 11.11 28.44 44.44 9.00 9.00 93.44
Suppose you are given the following data. You have run a three month moving average and found the forecasts, difference, and difference squared between the demand and forecasts. Note, the forecasts, difference, and difference squared have been rounded to two decimal places in the table. Month June 1 July 2 August 3 September 4 October 5 November 6 December 7 8 9 10 11 12 January February March April May O93.44 353.87 Time Determine the MSE (mean square error). 39.32 29.49 Actual Demand 93 96 96 83 94 94 87 97 86 93 89 99 Forecast 95.00 91.67 91.00 90.33 91.67 92.67 90.00 92.00 89.33 Difference Difference Squared -12.00 2.33 3.00 -3.33 5.33 -6.67 3.00 -3.00 9.67 144.00 5.44 9.00 11.11 28.44 44.44 9.00 9.00 93.44
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
![Suppose you are given the following data. You have run a three month moving average and
found the forecasts, difference, and difference squared between the demand and forecasts.
Note, the forecasts, difference, and difference squared have been rounded to two decimal
places in the table.
Month
June
1
July
2
August
3
September 4
October
5
93.44
353.87
Time
November 6
December 7
January
8
February 9
March
10
April
May
Determine the MSE (mean square error).
39.32
29.49
Actual
Demand
11
12
93
96
96
83
94
94
87
97
86
93
89
99
Forecast Difference
95.00
91.67
91.00
90.33
91.67
92.67
90.00
92.00
89.33
-12.00
2.33
3.00
-3.33
5.33
-6.67
3.00
-3.00
9.67
Difference Squared
144.00
5.44
19.00
11.11
28.44
44.44
9.00
9.00
93.44](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdb4bafca-afdd-4193-bbe1-f83c151930cb%2F48685229-6060-4a9b-b944-4901aa702f77%2Fucfq7y_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Suppose you are given the following data. You have run a three month moving average and
found the forecasts, difference, and difference squared between the demand and forecasts.
Note, the forecasts, difference, and difference squared have been rounded to two decimal
places in the table.
Month
June
1
July
2
August
3
September 4
October
5
93.44
353.87
Time
November 6
December 7
January
8
February 9
March
10
April
May
Determine the MSE (mean square error).
39.32
29.49
Actual
Demand
11
12
93
96
96
83
94
94
87
97
86
93
89
99
Forecast Difference
95.00
91.67
91.00
90.33
91.67
92.67
90.00
92.00
89.33
-12.00
2.33
3.00
-3.33
5.33
-6.67
3.00
-3.00
9.67
Difference Squared
144.00
5.44
19.00
11.11
28.44
44.44
9.00
9.00
93.44
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