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Scatter Plots

Related Topics:
Common Core for Grade 8
Common Core for Mathematics
More Math Lessons for Grade 8



 

Videos, solutions, examples, and lessons to help Grade 8 students learn how to 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.

Common Core: 8.SP.1

Suggested Learning Targets

  • I can describe patterns such as clustering, outliers, positive or negative association, and nonlinear association.
  • I can construct scatter plots for bivariate measurement data.
  • I can interpret scatter plots for bivariate (two different variables such as distance and time) measurement data to investigate patterns of association between two quantities

Graphing Bivariate Data
Bivariate Data means the data we collect will have two measurements.
Shapes of Bivariate Data: Linear and non-linear scatter plots
There are several important shapes we need to look for when we create a scatter plot with bivariate data.
Positive linear trend, negative linear trend and non-linear trend.
Outliers 8.SP.1
In this example, we set up a scatter plot and identify an outlier.
Example:
This table shows the number of visitors at a social networking site over a period of days. Draw a scatter plot, label the outlier.
8 sp 1
The Common Core State Standards (CCSS) videos are designed to support states, schools, and teachers in the implementation of the CCSS. Each video is an audiovisual resource that focuses on one or more specific standards and usually includes examples/illustrations geared to enhancing understanding. The intent of each content-focused video is to clarify the meaning of the individual standard rather than to be a guide on how to teach each standard although the examples can be adapted for instructional use.



Construct and Interpret Scatter Plots - Common Core Standard
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities.
Example:
Construct a scatter plot with the information in the table below. What type of association is there between time watching television and math scores.
Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association

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