Use the equation of a linear model to solve problems in the context of bivariate measurement data
Teacher tools for this standard
Lesson Plan · Guided Notes · Exit Ticket · Re-teach · Homework
Teacher tools for this standard
Lesson Plan · Guided Notes · Exit Ticket · Re-teach · Homework
- Lesson Plan →Objectives, pacing and practice, built from this lesson's brief.
- Guided Notes →One page your students fill in and keep.
- Exit Ticket →Three items at the end of class. No student accounts.
- Re-teach →After an exit ticket: who missed what, and what to do tomorrow.
- Homework →Assign practice; it grades itself.
**8.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 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.*
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8.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 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.
What you'll learn
- Write the equation y = mx + b for an informally fitted line on a scatter plot by identifying the slope and y-intercept from the graph or data
- Interpret the slope of a linear model in context, using the language "for each additional unit increase in [x], [y] is associated with a change of [m] units"
- Interpret the y-intercept of a linear model in context and evaluate whether the intercept has a meaningful real-world interpretation for the given data
- Use the equation of a linear model to make predictions by substituting values of the explanatory variable, distinguishing between interpolation (within the data range) and extrapolation (beyond the data range)
- Recognize the limitations of a linear model, including that predictions from extrapolation may be unreliable and that association does not imply causation
Slides
Step through the lesson, or watch it as a narrated video • 2 slide decks
Equation slope intercept
✓ Start hereComplete analysis
Practice
Try it on your own • 2 practice sets