Unit 1 Topic 1.13 and 1.14 — Function Model Selection, Construction, Application, and Assumption Articulation focuses on function model selection, assumption articulation, and applications. When given a word problem or tabular data, we determine the best regression model—usually choosing between linear, quadratic, or cubic functions—to make predictions and analyze trends.
Topics Covered:
- Selecting the best-fitting function (linear, quadratic, or cubic) based on given data
- Using regression models to predict values
- Determining whether the chosen model is appropriate for the data
- Calculating residuals and understanding their significance
- Using a TI-84 calculator for regression analysis
This video walks you through multiple examples, helping you identify patterns, analyze errors, and validate models. Master these concepts to solve real-world applications efficiently!
Need more help? Connect with a private online AP Precalculus tutor now!