# 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.