--- title: "8.FGR.6: Bivariate Quantitative Data (Georgia Mathematics standard)" code: 8.FGR.6 cite_as: Georgia Standards of Excellence, Mathematics, 8.FGR.6 subject: math grades: - grade-8 language: en canonical_url: https://georgiahomeroom.org/standards/code/8.FGR.6 md_url: https://georgiahomeroom.org/standards/code/8.FGR.6.md alternate_language_url: https://georgiahomeroom.org/es/standards/code/8.FGR.6.md source_url: https://case.georgiastandards.org/ims/case/v1p1/CFDocuments/e9dd7229-3558-4df2-85c6-57b8938f6180 source_last_changed: 2024-10-09 data_built: 2026-09-18 publisher: Georgia Homeroom, a free public-interest project of Georgia Civic Data. Not affiliated with or endorsed by the Georgia Department of Education or any school district. up: https://georgiahomeroom.org/standards/math/grade-8.md index: https://georgiahomeroom.org/standards/index.md --- # 8.FGR.6: Bivariate Quantitative Data Solve practical, linear problems involving situations using bivariate quantitative data. - Subject: Mathematics - Appears in: Grade 8, https://georgiahomeroom.org/standards/math/grade-8.md ## Expectations - **8.FGR.6.1**: Show that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, visually fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line of best fit. - **8.FGR.6.2**: Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercepts. - **8.FGR.6.3**: Explain the meaning of the predicted slope (rate of change) and the predicted intercept (constant term) of a linear model in the context of the data. - **8.FGR.6.4**: Use appropriate graphical displays from data distributions involving lines of best fit to draw informal inferences and answer the statistical investigative question posed in an unbiased statistical study. ## Georgia Milestones coverage - Mathematics Grade 8 (EOG). Functional & Graphical Reasoning. Solve practical, linear problems involving situations using bivariate quantitative data. (about 10% of the test; 6 points) ## What mastery looks like Georgia's Achievement Level Descriptors. The levels are cumulative: each includes the ones before it. Proficient is on grade level. - **Developing**: Determine whether a scatter plot is represented by a linear association and, if so, whether that association is positive or negative. Given a scatter plot and the line of best fit or an equation of the line of best fit, use a value of one variable to predict the value of the other variable. - **Proficient**: Construct an estimated line of best fit and assess whether a given line is a good fit by judging the closeness of the data points. Interpret the slope and y-intercept of a line of best fit in the context of a realistic problem. - **Distinguished**: Write an equation for the line of best fit and analyze data distributions involving lines of best fit to make informal inferences and answer statistical investigative questions. Source: Georgia Standards of Excellence, published by the Georgia Department of Education at case.georgiastandards.org.