CCSS.Math.Content.HSS-ID.B.6c
The standard
Fit a linear function for a scatter plot that suggests a linear association.
Common Core State Standards for Mathematics · Summarize, represent, and interpret data on two categorical and quantitative variables
What this standard means
Students need to look at a scatter plot and decide whether a straight-line model makes sense. If it does, they should draw or calculate a line of fit, write its equation, and use it to make predictions.
Mastery looks like choosing a reasonable line, explaining the slope and intercept in context, and judging whether a prediction is sensible. Students often get stuck treating any scatter plot as linear, mixing up x and y, or thinking the line must pass through every point.
Ways to teach it
- Have students place spaghetti on printed scatter plots, adjust a best-fit line, then estimate the slope and intercept from the graph.
- Ask students to write what the slope means for a scatter plot comparing hours studied and test score.
- Show one scatter plot and three possible equations, then ask students to choose the best model and explain why.
- Use local weather data to model the relationship between daily high temperature and ice cream sales, then discuss prediction limits.
Plan a lesson for CCSS.Math.Content.HSS-ID.B.6c
Generate a complete lesson plan aligned to this standard, with objectives, activities, and materials. Free, no account needed.
Related standards
- CCSS.Math.Content.HSS-ID.B.6
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
- CCSS.Math.Content.8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as cl...
- CCSS.Math.Content.8.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, informa...
- CCSS.Math.Content.HSS-ID.C
Interpret linear models