Algebra 1 · Chapter 8 of 8

Exponential Models and Data

Distinguish linear from exponential change, write growth and decay models, and judge whether a model fits data and context.

Why this chapter matters

Repeated percentage change appears in population, depreciation, spread, and many science applications where a linear model fails.

What you will learn

  • Identify constant difference versus constant ratio patterns.
  • Write and interpret y = a(b^x) growth and decay models.
  • Use tables, graphs, and residual thinking to evaluate a simple model.

Lessons in this chapter

  1. Linear versus exponential changeCompare additive and multiplicative patterns.
  2. Growth and decay modelsInterpret initial value and growth factor.
  3. Reading exponential graphsConnect intercepts and long-run behavior to context.
  4. Choosing a modelCheck whether data support a linear or exponential relationship. Read the full guide →

Study task

Compare a savings plan that adds $50 monthly with one that grows by 5% per period. Explain when each model is appropriate.

Chapter checkpoint

A quantity starts at 200 and grows by 8% each period. Write its model.

Use y = 200(1.08)^x, where x is the number of growth periods.