Which selection is indicative of an Association modeling objective?

The correct selection indicating an Association modeling objective focuses on identifying patterns or relationships between different variables rather than establishing a direct cause-and-effect relationship. In this context, the option discussing cell phone users who subscribe to plan A likely purchasing the newest cell phone as soon as it is released illustrates an association between two behaviors: the subscription choice and the likelihood of purchasing a new phone.

This aligns well with the principles of Association modeling, which seeks to uncover items or events that occur together frequently. The relationship suggested does not imply that one behavior causes the other, but rather that there is a correlation worth exploring. This fits the criteria of associative analysis where the goal is to reveal co-occurrence patterns among variables.

The other options primarily indicate predictive relationships where one variable forecasts another rather than focusing on finding connections between multiple variables that co-occur together in a dataset. Understanding these differences is crucial in distinguishing between types of modeling objectives.