Which node helps group variable values into classes for analysis?

The Interactive Binning Node is the correct choice for grouping variable values into classes for analysis in SAS Enterprise Miner. This node provides a user-friendly interface that allows users to segment continuous variables into discrete categories or bins. This process is essential for tasks such as simplifying data, enhancing model interpretability, and preparing data for specific types of analysis where categorical variables are preferred.

Using the Interactive Binning Node, analysts can visually explore the data distribution and determine optimal cut points for binning. This capability can lead to more meaningful categorizations that improve model performance and provide clearer insights. The node also offers functionalities such as automatic binning methods and user-defined bin selection, further enhancing its utility in data preparation.

In contrast, the Replacement Node is primarily used for replacing variable values based on specified rules, while the Rules Builder Node is designed for creating and managing classification rules based on existing data patterns. The Principal Components Node focuses on reducing dimensionality in datasets by transforming variables into a set of uncorrelated components, which is not related to the task of grouping variable values into classes. Thus, the Interactive Binning Node stands out as the most suitable option for this specific analytical purpose.