Multiple Choice
The ______ is the average of the sum of the squared differences between the actual and the forecasted demand values.
A) mean squared error (MSE)
B) mean absolute deviation (MAD)
C) mean absolute percentage error (MAPE)
D) cumulative sum error (CSE)
Correct Answer:

Verified
Correct Answer:
Verified
Q17: _ is a short-term time series forecasting
Q18: _ variations are treated as outliers and
Q19: Increased retail sales in December and peak
Q20: _ method results in a straight line
Q21: A linear trend can be _.<br>A)positive<br>B)cyclical<br>C)irregular<br>D)random
Q23: Which of the following methods is used
Q24: An end product is a(n)_ whose demand
Q25: _ is a short-term time series forecasting
Q26: _ methods are used when no measurable,reliable,historic,or
Q27: The regression sum of squares (SSR)is the