MA19.GDA.15

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

Students know:

Techniques for creating a scatter plot.
Techniques for fitting a linear function to a scatter plot.
Methods to find the slope and intercept of a linear function.
Techniques for fitting various functions (linear, quadratic, exponential) to data.
Methods for using residuals to judge the closeness of the fit of the function to the original data.

Students are able to:

Accurately create a scatter plot of data.
Correctly choose a function to fit the scatter plot.
Make reasonable assessments on the fit of the function to the data by examining residuals.
Accurately fit a linear function to data when there is evidence of a linear association.
Accurately fit linear functions to scatter plots.
Correctly find the slope and intercept of linear functions.
Justify and explain the relevant connections slope and intercept of the linear function to the data.

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.
Linear functions are used to model data that have a relationship that closely resembles a linear relationship.
The slope and intercept of a linear function may be interpreted as the rate of change and the zero point (starting point).

Land the Plane

Hit the Runway

Graphing Lines