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1.13 Function Model Selection and Assumption Articulation - Review

This review will guide you through an adaptive, research-backed study session. As you answer questions, we will actively assess your current understanding of the material. Questions will continue to be drawn until you have demonstrated mastery of each learning objective.

Reviews are graded based on completion. You will receive full credit for achieving 100% mastery or answering all questions.

Learning objectives for this review:

  • Explain how to choose between linear, quadratic, polynomial, or rational functions based on the behavior of data.
  • Articulate the assumptions made when selecting a function model, including the domain, range, and behavior of the function.
  • Assess how different assumptions affect the accuracy and reliability of a mathematical model in real-world applications.