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


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Create a scatter plot from two quantitative variables.

Clarifications:

Essential Understandings

Concrete:

  • Given a scatter plot, identify the two variables.
Representation:
  • Predict the variables using a template of data points.
  • Order the numbers in a data set from least to greatest.
  • Understand the following concepts and vocabulary: linear, function, data set, variables and predict.
  • Create a scatter plot given a data set.

    An image of a scatter plot with a given data set.

Number: MAFS.912.S-ID.2.AP.6a Category: Access Points
Date Adopted or Revised: 06/14 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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