Lesson 7

Observing More Patterns in Scatter Plots

Lesson Narrative

In this lesson, students see non-linear associations for the first time and do a card sort to distinguish linear and non-linear associations. They visually identify clusters in data. Students will not study non-linear associations or clustering using quantitative tools; instead they will rely on visual patterns in scatter plots (MP7). 

Learning Goals

Teacher Facing

  • Categorize data sets, and describe (orally) the properties used to create categories.
  • Describe (orally) features of data on scatter plots, including “linear” and “nonlinear association” and “clustering” using informal language.
  • Explain (orally) what might cause a nonlinear association or clustering of data points in context.

Student Facing

Let's look for other patterns in data.

Required Preparation

Print and cut up cards from the Scatter Plot City blackline master. Prepare 1 set of cards for every student.

Learning Targets

Student Facing

  • I can pick out clusters in data from a scatter plot.
  • I can use a scatter plot to decide if two variables have a linear association.

CCSS Standards


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