Construct and interpret scatter plots for bivariate measurement data

Start lessonBegins with Building scatter plots · Slides

Teacher tools for this standard

Lesson Plan · Guided Notes · Exit Ticket · Re-teach · Homework

Lesson Plan →Objectives, pacing and practice, built from this lesson's brief.
Guided Notes →One page your students fill in and keep.
Exit Ticket →Three items at the end of class. No student accounts.
Re-teach →After an exit ticket: who missed what, and what to do tomorrow.
Homework →Assign practice; it grades itself.

8.SP.A.1

**8.SP.A.1**: Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.

8.SP.A.1: Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.

What you'll learn

Construct a scatter plot from a table of bivariate measurement data by choosing appropriate axes, scales, and plotting ordered pairs
Identify and describe patterns of association between two quantities shown in a scatter plot, including positive association, negative association, and no association
Distinguish between linear association and nonlinear association in a scatter plot
Identify and interpret clusters and outliers in a scatter plot and explain what they suggest about the data
Use the language of association (not correlation) to describe the overall relationship between two variables in a real-world context

Slides

Step through the lesson, or watch it as a narrated video • 2 slide decks

Building scatter plots

✓ Start here

Watch as video

Describing patterns

Watch as video

Practice

Try it on your own

Exercise

Practice problems, checked as you go

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