Data Transformations and Applications

learning_notes

Last updated: 8/16/2025

Key Concepts:

  • Multiplying Data Points – Understand how transformations (e.g., multiplying by a constant) affect a dataset.
  • Finding a New Line of Best Fit After Transformation – Determine how changes in data points alter a model.
  • Applying Models to Real-World Scenarios – Use function models to represent real-life changes in variables.

Skills Covered:

  • If all y-values in a dataset are multiplied by 2, find the new line of best fit.
  • Given an investment that grows by a fixed percentage each year, identify the best function model.
  • A bird increases its flight time over several days—calculate the average rate of change.

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