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.
"Given a relationship between two quantities, read and interpret graphs modeling the relationship."
"Analyze and interpret data represented in a scatterplot to make predictions."
"Fit linear models to data represented in a scatterplot."
"Analyze and interpret data represented in a scatterplot, but do not make predictions."
"Analyze and interpret data represented in a scatterplot to make predictions."
"Fit linear models to data represented in a scatterplot."
"Fit quadratic and exponential models to data represented in a scatterplot."
"Given a relationship between two quantities, read and interpret graphs modeling the relationship."
"Compare linear and exponential growth."
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"Given a relationship between two quantities, read and interpret graphs modeling the relationship."
"Analyze and interpret data represented in a scatterplot to make predictions."
"Fit linear models to data represented in a scatterplot."
"Analyze and interpret data represented in a scatterplot, but do not make predictions."
"Analyze and interpret data represented in a scatterplot to make predictions."
"Fit linear models to data represented in a scatterplot."
"Fit quadratic and exponential models to data represented in a scatterplot."
"Given a relationship between two quantities, read and interpret graphs modeling the relationship."
"Compare linear and exponential growth."
What you'll learn
- Interpret the slope and intercept of a line of best fit in context as the model's predictions for the trend (the slope as a predicted change in the response per one-unit change in the predictor, with units derived by division; the intercept as the predicted value when the predictor is zero), worded as an estimate rather than as a fact about each case
- Decide from the data's range whether an intercept has a meaningful interpretation in context
- Compare a predicted value to an actual value for one case, and state whether the model over- or under-predicted it
- Distinguish a correct interpretation of a fitted coefficient from its common misreadings, including a causal claim made from a fitted relationship
Slides
Step through the lesson, or watch it as a narrated video
Slides
In development
Not yet available • Check back soon!