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8.SP.1 and 8.SP.2 Analyze a Scatterplot
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Description

This activity hits the main intent of both 8.SP.1 and 8.SP.2. Engage students with a scatterplot relevant to their lives that explores the association between student height and free throw accuracy. They describe whether the association is linear or non-linear, positive or negative, strong or weak. Students will also identify clusters and outliers and predict what they represent. (For example, the outlier who is really tall but a really bad shot may be a center, like Shaquille O'Neal whose enormous size makes his coordination very poor).

Students will also draw a line of best fit and use this line to make predictions. Finally, students identify where a data point that would represent themselves would fall.

Included are sample answers that show the teacher the depth students' answers should be at to fully master the Common Core Standards.
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8.SP.1 and 8.SP.2 Analyze a Scatterplot

Out of the Mill
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$1.00

Highlights

Digital downloads
Grades icon
Grades
7th - 9th
Subjects icon
Subjects
Standards icon
Standards
Pages
2
Answer Key
Included
Teaching Duration
45 minutes

Description

This activity hits the main intent of both 8.SP.1 and 8.SP.2. Engage students with a scatterplot relevant to their lives that explores the association between student height and free throw accuracy. They describe whether the association is linear or non-linear, positive or negative, strong or weak. Students will also identify clusters and outliers and predict what they represent. (For example, the outlier who is really tall but a really bad shot may be a center, like Shaquille O'Neal whose enormous size makes his coordination very poor).

Students will also draw a line of best fit and use this line to make predictions. Finally, students identify where a data point that would represent themselves would fall.

Included are sample answers that show the teacher the depth students' answers should be at to fully master the Common Core Standards.
Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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December 11, 2019
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June 8, 2019
Great resource. My students loved it.
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May 6, 2019
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March 21, 2019
good resource
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December 12, 2017
simple and easy to use
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Questions & Answers

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Standards

to see state-specific standards (only available in the US).
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.
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
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