Mathematics (2019) Grade(s): 09-12 - Mathematical Modeling

MA19.MM.15

Use regression with statistical graphing technology to determine an equation that best fits a set of bivariate data, including nonlinear patterns.

COS Examples

Examples: global temperatures, stock market values, hours of daylight, animal population, carbon dating measurements, online streaming viewership

Unpacked Content

Knowledge

Students know:
  • how to plot points using graphing technology.
  • how to find a regression equation using graphing technology.
  • how to use a regression equation to make a prediction.

Skills

Students are able to:
  • plot points.
  • Distinguish between linear and nonlinear functions.
  • Use graphing technology.

Understanding

Students understand that:
  • Regression equations can be used to model data.
  • Graphing technology helps us find regression equations.
  • The regression equation can be used to make a prediction.

Vocabulary

  • Regression Equation
  • "Best Fit"
  • Bivariate Data
  • Linear Pattern
  • Non-linear pattern
  • Scatter Plot
  • Quantitative Variable
  • Extrema
  • Inflection
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