MA19.GDA.12

Mathematics (2019) Grade(s): 09-12 - Geometry with Data Analysis

MA19.GDA.12
Represent data of two quantitative variables on a scatter plot, and describe how the variables are related.

Unpacked Content

Knowledge

Students know:

Techniques for creating a scatter plot,
Techniques for fitting linear functions to data.
Methods for using residuals to judge the closeness of the fit of the linear function to the original data.

Skills

Students are able to:

Accurately create a scatter plot of data.
Make reasonable assessments on the fit of the function to the data by examining residuals.
Accurately fit a function to data when there is evidence of a linear association.
Use technology to find the least-squares line of best fit for two quantitative variable.

Understanding

Students understand that:

Functions are used to create equations representative of ordered pairs of data.
Residuals may be examined to analyze how well a function fits the data.
When a linear association is suggested, a linear function can be fit to the scatter plot to aid in modeling the relationship.

Vocabulary

Quantitative variables
Scatter plot
Residuals

Aligned Learning Resources

Interactive Tools | Against All Odds: Inside Statistics

Design by Adaptive Theme