Unpacked Content
Knowledge
Students know:
- Techniques for creating a scatter plot,
- Techniques for fitting linear functions to data.
- Methods for using residuals to judge the closeness of the fit of the linear function to the original data.
Skills
Students are able to:
- Accurately create a scatter plot of data.
- Make reasonable assessments on the fit of the function to the data by examining residuals.
- Accurately fit a function to data when there is evidence of a linear association.
- Use technology to find the least-squares line of best fit for two quantitative variable.
Understanding
Students understand that:
- Functions are used to create equations representative of ordered pairs of data.
- Residuals may be examined to analyze how well a function fits the data.
- When a linear association is suggested, a linear function can be fit to the scatter plot to aid in modeling the relationship.
Vocabulary
- Quantitative variables
- Scatter plot
- Residuals
