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2 0 . Which of the following is FALSE regarding evaluating forecasting errors? A . Mean squared error aggregates forecast errors without canceling out positive

20. Which of the following is FALSE regarding evaluating forecasting errors?
A. Mean squared error aggregates forecast errors without canceling out positive and negative forecast errors.
B. Mean squared error squares the errors and then averages them.
C. Mean squared error can be heavily influenced by one single large forecast error.
D. Mean squared error and mean absolute error always agree on which forecast is better

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