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Topic:

Error Measurement Techniques, Forecast Error, Mean Squared Error, and MAPE

Coursework Instructions:

Q1: The error measurement techniques that use equal weights for all error calculations are: Q2: Forecast Error Q3: The tool that indicates whether a forecast is overestimating or underestimating the actual data is: Q4: Given forecast errors of  -22,  -10,  and  +15,  the MAD is: Q5: Calculate the Mean Squared Error for the following data:
Actual
Forecast
86
89.7
88
89.0
96
91.4
100
90.5

Coursework Sample Content Preview:
Question 1 Select all that apply:  The error measurement techniques that use equal weights for all error calculations are:
Question 1 options:

a) MAD


b) bias


c) MAPE


d) MSE

Question 2 
Forecast error :
Question 2 options:

a) is associated with measuring forecast accuracy.


b) cannot be negative.


c) takes a positive value when the forecast is too high.


d) cannot be zero.

Question 3 
The tool that indicates whether a forecast is overestimating or underestimating the actual data is:
Question 3 options:

a) bias


b) MAD


c) MSE

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