Unit 5, Lesson 23
Observing More Patterns in Scatter Plots
Accelerated 7
Preparation
Lesson Narrative
In this lesson, students see non-linear associations for the first time and use a Card Sort to distinguish linear and non-linear associations. They begin by identifying clusters in data and explain that this may be caused by subgroups within a data set exhibiting different trends. At this level, students rely on the structure of visual patterns in scatter plots (MP7) to recognize non-linear associations and clustering rather than quantitative tools.
Then students analyze and interpret bivariate data in context (MP4). They create a scatter plot, identify outliers, fit a line, and then determine and interpret the slope of the line.
- Categorize data sets, and describe (orally) the properties used to create categories.
- Create a scatter plot and draw a line to fit bivariate data, and identify (orally and in writing) outliers that appear in the data.
- Describe (orally) features of data on scatter plots, including “linear” and “non-linear association” and “clustering,” using informal language.
- Interpret (orally and in writing) features of a scatter plot with a line of fit, including outliers, slope of the line, and clustering.
Let’s look for other patterns in data.
- 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.
Required Materials
Activity 3
Required Preparation
None
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