Essay Available:
page:
1 pages/≈275 words
Sources:
1
Style:
Other
Subject:
Business & Marketing
Type:
Coursework
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 5.18
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
Updated on
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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