Continuing Formulation of Questions about the Data:

As continued from the previous session, the emphasis remains on formulating initial questions to ensure the data analysis remains directed and purposeful.

  • Data Re-evaluation:
    • After a preliminary analysis, it’s beneficial to revisit initial questions to refine or expand upon them based on new insights.
  • Integration with Logistic Regression:
    • How does the data lend itself to a logistic regression model?
    • Are there binary outcome variables that we can predict using our predictor variables?
    • How will we validate the performance of our logistic regression model?

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