Bivariate Data and Linear Modeling (Grades 6-9)
Led by Lindsey Yundt (Boise School District) and Bob Vialpondo (Idaho Virtual Academy).
Special thanks to the Idaho State Department of Education for funding this project.
1. Bivariate Categorical Data
In Lesson 1, students investigate some relationships in main ingredients and nutritional content. In Lesson 2, students investigate relationships between personality types and sports preferences.
2. Bivariate Quantitative Data
Students investigate data relationships that can be modeled with linear functions.
3. Linear and Non-Linear Modeling
Students investigate data relationships that can be modeled with different functions based on the display of the data.
4. Data Analysis
Students investigate relationships, create and analyze displays, interpret, and make conclusions about real-world data.