What does MAD measure?

Study for the Taitt Supply Chain Management Exam 1. Utilize flashcards and multiple choice questions, each with hints and explanations. Prepare thoroughly for your exam!

Multiple Choice

What does MAD measure?

Explanation:
MAD reflects the typical size of forecast errors, expressed in the same units as the data. It does this by taking the absolute error for each forecast (the difference between what actually happened and what was predicted) and averaging those absolute errors over the periods you’re evaluating. In other words, MAD tells you, on average, how far off your forecasts are from reality, using the same units as the data. It focuses on the magnitude of errors (not their direction, not a percentage, and not the single worst error), which is why it’s described as the average size of the forecast error in units.

MAD reflects the typical size of forecast errors, expressed in the same units as the data. It does this by taking the absolute error for each forecast (the difference between what actually happened and what was predicted) and averaging those absolute errors over the periods you’re evaluating. In other words, MAD tells you, on average, how far off your forecasts are from reality, using the same units as the data. It focuses on the magnitude of errors (not their direction, not a percentage, and not the single worst error), which is why it’s described as the average size of the forecast error in units.

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