Collecting & Analyzing Data Project | Line of Best Fit | Correlation Coefficient
Michelle Walker
3 Followers
Grade Levels
8th - 10th
Subjects
Standards
CCSS8.SP.A.1
CCSS8.SP.A.2
CCSS8.SP.A.3
CCSSHSS-ID.A.1
CCSSHSS-ID.B.6
Formats Included
- Zip
Michelle Walker
3 Followers
Description
Give your students some practical, real-world experience with this data-analyzing project.
Things to know:
1. Prior to completing this project, students must be somewhat familiar with scatter plots, lines of best fit, correlation coefficients, and data displays.
2. This project will require collecting data via surveys.
3. Great group projects.
4. Allows for students to be creative and look for correlations between things they are interested in.
Total Pages
Answer Key
N/A
Teaching Duration
4 days
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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.
CCSSHSS-ID.A.1
Represent data with plots on the real number line (dot plots, histograms, and box plots).
CCSSHSS-ID.B.6
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
Reviews
Questions & Answers
3 Followers
