MA19.MM.15

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.

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

COS Examples

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

Aligned Learning Resources

Using the First and Second Derivative Tests

Concavity and Inflection Solved Video

Concavity and Inflection Practice

Absolute Extrema and Optimization Practice

Analyzing the Graphs of Functions

Design by Adaptive Theme