Scatter Plots Print and Digital Stations | Distance Learning

Grade Levels
7th - 9th, Homeschool
Standards
Formats Included
  • PDF
  • Google Apps™
Pages
27 pages
$4.00
$4.00
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Description

These stations make great practice or review for scatter plot concepts, including determining correlation, describing relationships in bivariate data, identifying appropriate trend lines, constructing scatter plots, writing an equation for a line of fit, making predictions, and stating the meaning of the x- and y-intercept and the rate of change. Students practice by working collaboratively in groups and moving around the classroom where they find a new set of practice problems at each table.

Station 1 - Correlation & Bivariate Relationships

Station 2 - Trend Lines

Station 3 - Writing an Equation Given 2 Points on a Line

Station 4 - Constructing a Scatter Plot

Station 5 - Trend Line Equation & Prediction

Station 6 - Meaning of Intercepts & Slope

Extension - Linear Regression Using Graphing Calculator

Included:

-6 Stations

-Graphing Calculator Extension Activity

-A handout to help students organize their work

-Teacher's Guide with CCSS, objectives, materials, and procedure

-Answer Keys

-Google Drive version

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Scattered! Constructing, Interpreting, & Modeling Scatter Plots

Constructing and Interpreting Scatter Plots Differentiated Notes and Practice

Modeling Data with Trend Lines Differentiated Notes and Practice

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Copyright Information and Terms of Use:

The purchase of this product entitles a single user to reproduce the resource for classroom use only. Discounted additional licenses can be purchased if you wish to share with other teachers. The product is for educational use only. The product may not be used for commercial purposes or resold in any form. It cannot be uploaded to the Internet, with the exception of password-protected school websites.

© Free to Discover (Amanda Nix)

Total Pages
27 pages
Answer Key
Included
Teaching Duration
1 hour
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Standards

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

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