What will be the assigned Role and Level of the variable 'units_sold' in the credit_customers data set according to the Advanced Metadata Advisor?

Prepare for the SAS Enterprise Miner Certification Test with flashcards and multiple choice questions, each offering hints and explanations. Get ready for your exam and master the analytics techniques needed!

The variable 'units_sold' is typically considered as a quantitative measure representing the number of items sold, which can take on a range of numerical values. In the context of metadata roles and levels, it's important to recognize that the role signifies how the variable is intended to be used in modeling, while the level pertains to the nature of the data itself.

When treating 'units_sold' as a variable in a data analysis framework like SAS Enterprise Miner, it is appropriate to consider its role primarily as an input to the model. This is because 'units_sold' would often serve to predict or help define the outcome in various analytical tasks.

Additionally, the level of measurement for 'units_sold' is more accurately described as an interval or ratio level, since it deals with numerical data that has a meaningful zero and allows for comparison of differences. However, categorizing it as nominal is not applicable here, because nominal refers to categorical data without intrinsic order or ranking.

Understanding these distinctions leads to determining that 'units_sold' can indeed serve an input role but should not be classified at a nominal level. The correct classification comprehensively reflects its numeric nature and intended use in predictive modeling within the framework.

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