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Which of the following statements about MAE and SSE is FALSE? Check all that apply. Lower values are preferred. Errors do not cancel out each other. They are unitless. O MAE stands for Mean Absolute Error. O MAE is always greater than SSE. None can be negative. A positive value means the forecasting method is biased. SSE is the scaled down version of MAE. They can be used to compare two applications of the same forecasting method. SSE stands for Sum of Standard Errors.

Which of the following statements about MAE and SSE is FALSE? Check all that apply. Lower values are preferred. Errors do not cancel out each other. They are unitless. O MAE stands for Mean Absolute Error. O MAE is always greater than SSE. None can be negative. A positive value means the forecasting method is biased. SSE is the scaled down version of MAE. They can be used to compare two applications of the same forecasting method. SSE stands for Sum of Standard Errors.

Mathematics For Machine Technology
Mathematics For Machine Technology
8th Edition
ISBN:9781337798310
Author:Peterson, John.
Publisher:Peterson, John.
Chapter38: Achievement Review—section Three
Section: Chapter Questions
Problem 6AR
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Which of the following statements about MAE and SSE is FALSE? Check all that apply. O Lower values are preferred. O Errors do not cancel out each other. They are unitless. MAE stands for Mean Absolute Error. O MAE is always greater than SSE. None can be negative. U A positive value means the forecasting method is biased. O SSE is the scaled down version of MAE. They can be used to compare two applications of the same forecasting method. O SSE stands for Sum of Standard Errors.
Transcribed Image Text:Which of the following statements about MAE and SSE is FALSE? Check all that apply. O Lower values are preferred. O Errors do not cancel out each other. They are unitless. MAE stands for Mean Absolute Error. O MAE is always greater than SSE. None can be negative. U A positive value means the forecasting method is biased. O SSE is the scaled down version of MAE. They can be used to compare two applications of the same forecasting method. O SSE stands for Sum of Standard Errors.
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