Description

This bivariate data project is the perfect project to accompany your study on scatter plots! Students will gather bivariate data, create scatter plots in Google Sheets, and analyze their results. Students will evaluate correlation and causation based on their results and analyze the accuracy of their results. They will make predictions based on their trendlines and learn relevant technology skills.

What does it include?

Student project pages
Teacher's guide with directions
Step-by-step guide to creating scatter plots in Google Slides
Optional Google Slides version of student pages for easy integration with Google Classroom

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Bivariate Data Project

Name: Bivariate Data Project
Brand: Math with Color
SKU: 7934726
Price: 3.00 USD
Availability: InStock

Math with Color

9 Followers

$3.00

Highlights

Digital downloads

Google Apps, PDF

Grades

8th

Subjects

Math, Statistics

Standards

CCSS8.SP.A.1

CCSS8.SP.A.2

CCSS8.SP.A.3

Description

What does it include?

Student project pages
Teacher's guide with directions
Step-by-step guide to creating scatter plots in Google Slides
Optional Google Slides version of student pages for easy integration with Google Classroom

Like this product? Let's connect!

Click the star to be the first to know about new products
Follow me on Instagram

Don't forget to leave a review to earn TPT credits for future purchases.

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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Questions & Answers

Standards

to see state-specific standards (only available in the US).

CCSS8.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.

CCSS8.SP.A.2

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.

CCSS8.SP.A.3

Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.