Before running the Predict iQ analysis, which of the following tasks must be performed?

The task of adding the churn variable and amassing at least 500 responses is essential before running Predict iQ analysis because Predict iQ is designed to identify patterns and predict outcomes based on historical data. The churn variable specifically represents the likelihood of customers leaving or stopping their engagement, which is crucial for generating meaningful insights related to customer retention.

Having a substantial dataset, typically a minimum of 500 responses, ensures that the analysis has enough statistical power to yield reliable predictions. Small datasets can lead to erratic or misleading results due to a lack of representativeness. In the context of Predict iQ, proper variable selection and sufficient data quantity are foundational steps that enable the model to function effectively.

Other options may involve important aspects of data management or presentation; however, they do not address the prerequisites specific to the Predict iQ analysis workflow necessary for informed and reliable predictive outcomes.