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klasskru [66]
3 years ago
14

Given the following historical demand and forecast, calculate the Mean Absolute Percentage Error: Week 1 Demand: 50 Forecast: 49

Week 2 Demand: 54 Forecast: 50 Week 3 Demand: 58 Forecast: 63
FE = D-F n FE RSFE RSFE = 27=1 FE; MFE = n n (FE;) 21-1|FEil MSE = MAD = n n FE; 2i=1 =FE TS = RSFE MAPE n MAD MAD about 6.0%
A. about 2.0%
B. about 18.0%
C. about 4.3%
D. about 1.00%
Business
1 answer:
klio [65]3 years ago
4 0

Answer:

A. about 2.0%

Explanation:

The forecasted error for week 1 is 1%. The demand for week 1 is 50 while estimated demand or forecast was 49. The difference between the two values is 1. The forecasted demand for week 2 is 50 while actual demand for week 2 is 54. The difference between the forecast and actual value is 4. The difference in week 3 is 5. Mean absolute deviation is 6% which means there can be 6% standard deviation from the forecasted values.

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Answer:

7 loans were made to clients with Graduate education who also had 17 years of experience

Explanation:

We have to solve for which is the intersection between the two groups.

66 is the count for +17 years

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Then, we have 142 loans which are not part of both groups. Therefore, the difference are the loan count which do belong to both groups:

149 total loans - 142 loans out = 7

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3 years ago
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Answer:

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Explanation:

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2 years ago
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Answer:

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Normal goods are goods that are goods whose demand increases when income increases and falls when income falls

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Delvig [45]
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8 0
3 years ago
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Answer:

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2 years ago
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