# 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.

### 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.