Description
This project has students investigate a bivariate data relationship: the number of pages in a textbook and its price using bivariate data analysis techniques.
Concepts that students need to be familiar with prior to completing this project include:
- scatter plots
- correlation relationships
- prediction vs. residuals
- least squares regression lines
- correlation coefficient
- interpreting linear models
- correlation vs. causation
The project is in a Google Doc so that you can modify it to fit your class needs.
A data set included.
Easel assessment included.
Full, detailed rubric is included.
Highlights
Description
This project has students investigate a bivariate data relationship: the number of pages in a textbook and its price using bivariate data analysis techniques.
Concepts that students need to be familiar with prior to completing this project include:
- scatter plots
- correlation relationships
- prediction vs. residuals
- least squares regression lines
- correlation coefficient
- interpreting linear models
- correlation vs. causation
The project is in a Google Doc so that you can modify it to fit your class needs.
A data set included.
Easel assessment included.
Full, detailed rubric is included.


