The Mean Absolute Deviation (MAD)and the Sum of Squares for Forecast

question 22

Multiple Choice

The mean absolute deviation (MAD) and the sum of squares for forecast error (SSE) are the most commonly used measures of forecast accuracy.The model that forecasts the data best will usually have the:

• A)lowest MAD and highest SSE
• B)highest MAD and lowest SSE
• C)lowest MAD and SSE
• D)highest MAD and SSE

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Definitions:

Product X

A placeholder name for any given product or service under consideration in an economic or marketing context.

Competitive Industry

A market scenario where there are many sellers, leading to competitive prices and innovations.

Economic Profits

The contrast between the sum of revenues and the sum of all costs, embracing both direct monetary and inferred expenditures.

Opportunity Cost

The worth of the best alternative given up as a consequence of a decision made.