Asked by Kimberly Zayas-Maciel on Apr 27, 2024

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The mean absolute deviation is the summation of the residuals divided by the sample size.

Mean Absolute Deviation

The average of the absolute differences between each data point in a set and the mean of that set, measuring variability.

Residuals

The deviation of true observations from the predictions made by a simulation or computational model.

Sample Size

The number of observations or entities that are selected from a larger population for the purpose of statistical analysis.

  • Recognize the theoretical and practical aspects of different measures of forecast accuracy.
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YM
Yolima MartínezMay 01, 2024
Final Answer :
False
Explanation :
The mean absolute deviation is the average absolute difference between each data point and the mean of the dataset. It is calculated by summing the absolute values of the residuals (the differences between each data point and the mean) and dividing by the sample size.