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).
- 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.
Let's look for other patterns in data.
Print and cut up cards from the Scatter Plot City blackline master. Prepare 1 set of cards for every student.
- 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.
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