In the Ball Bounce task, teams of three students collect real-time ball bounce data for two minutes to organize, display and use to form predictions. After collecting and organizing their data, students first observe how the data behave. Then they make predictions using data, scatterplots, or the equation of the curve of best fit to solve a
practical problem. This task offers students collaborative experience in using mathematical models of linear functions.

In the Racing Away lab, students will understand the physical meaning of slope as a rate of change and the y-intercept in distance vs. time plots. Students will also come to understand the meaning of each part of writing a linear equation in two variables in slope-intercept form.

In this lab, students will determine the slope of a line when given two points on the line; write the equation of a line when given the graph of the line, two points on the line, or the slope and a point on the line; and graph linear equations in two variables. Throughout the lab, students make connections between and among multiple representations of functions using verbal descriptions, tables, equations, and graphs.