The MAD for Method 1 = thousand gallons (round your response to three decimal places). The mean squared error (MSE) for Method 1 = thousand gallons² (round your response to three decimal places). The MAD for Method 2 = thousand gallons (round your response to three decimal places). The mean squared error (MSE) for Method 2 = thousand gallons² (round your response to three decimal places).
The MAD for Method 1 = thousand gallons (round your response to three decimal places). The mean squared error (MSE) for Method 1 = thousand gallons² (round your response to three decimal places). The MAD for Method 2 = thousand gallons (round your response to three decimal places). The mean squared error (MSE) for Method 2 = thousand gallons² (round your response to three decimal places).
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...
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Transcribed Image Text:Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands,
demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons:
Week
1
2
3
4
Forecast
Method 1
0.85
1.05
0.95
1.22
Actual
Demand
0.70
1.05
0.96
0.97
Week
1
2
3
4
The mean squared error (MSE) for Method 2 =
Forecast
Method 2
0.82
1.19
0.92
1.17
Actual
Demand
0.70
1.05
0.96
0.97
The MAD for Method 1 = thousand gallons (round your response to three decimal places).
The mean squared error (MSE) for Method 1= thousand gallons² (round your response to three decimal places).
The MAD for Method 2 = thousand gallons (round your response to three decimal places).
thousand gallons (round your response to three decimal places).
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