Access Point #: MAFS.912.S-ID.2.AP.6c (Archived Access Point)


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Categorize data as linear or not.

Clarifications:

Essential Understandings

Concrete:

  • Draw or point to a line that goes through as many points on a scatter plot or divides the data in half (i.e., use a transparency to place a line over the data in a scatter plot or a strand of spaghetti or a pipe cleaner to represent the line of best fit – a picture of a simple scatterplot with variables and a line of linear fit [line of best fit]).
  • Determine if the line goes through many points. If not the graph is not linear.
Representation:
  • Identify the relationship (fit) between the data and the function (e.g., linear, non-linear).
  • Non-linear:

    Example of a non-linear relationship scatter plot.
  • Linear:

    Example of a linear relationship on a scatter plot.
  • MathPlanet: Click Here

Number: MAFS.912.S-ID.2.AP.6c Category: Access Points
Date Adopted or Revised: 07/14 Cluster: Summarize, represent, and interpret data on two categorical and quantitative variables. (Algebra 1 - Supporting Cluster) (Algebra 2 - Supporting Cluster)

Clusters should not be sorted from Major to Supporting and then taught in that order. To do so would strip the coherence of the mathematical ideas and miss the opportunity to enhance the major work of the grade with the supporting clusters.

Related Standards

Name Description
MAFS.912.S-ID.2.6: Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
  1. Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, and exponential models.
  2. Informally assess the fit of a function by plotting and analyzing residuals.
  3. Fit a linear function for a scatter plot that suggests a linear association.




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