By: Hailey Young-Stewart
With nothing but a handful of rubber bands, a Barbie doll, and their understanding of mathematical modeling, students in Kelly Roberts’ Advanced Quantitative Reasoning class turned an ordinary math lesson into an extraordinary experiment in precision and problem-solving. The annual Barbie Bungee Jumping Project challenged students to use linear regression to predict how many rubber bands Barbie would need to make the perfect bungee jump, one that brought her as close to the ground as possible without touching it.
What began as a silly classroom activity quickly became a sophisticated application of data analysis, prediction, and mathematical reasoning. The project required students to gather real-world data, analyze patterns, and build a predictive model using the equation y = mx + b, the foundation of linear relationships.
Before heading outside, teams conducted several trial jumps from smaller heights in different areas around the school. During these early trials, students measured Barbie’s fall distance for a range of rubber band lengths, carefully recording each result.
“It was a fun activity. It was unlike something I had ever done before in other math classes,” Senior Cassidy Lockhart said.
Students then used their data to calculate the slope (m) and y-intercept (b) of their line of best fit, a process that allowed them to estimate how many rubber bands would produce the ideal jump from a much greater height.
After several days of calculations and fixing up, the class gathered behind the school bleachers near the football field for the final test. Each group’s Barbie took a turn leaping from the top, while classmates watched eagerly to see whose model would prove most accurate. The goal was simple: get as close to the ground as possible without Barbie’s head making contact, a true test of mathematical precision.
“Mrs. Roberts does a good job balancing between education and fun,” said Junior Lizzy Gilchrist.
As one of the students who participated within this project, Gilchrist explained that it was not only entertaining, but also deepened her understanding of how math applies beyond the classroom.
“The winners get a Frappuccino, so it might be worth it,” Senior Rilo Wilkes.
That comment turned out to be prophetic. Wilkes, along with classmates Lockhart and Dalton Bartlett, earned the top spot in the competition by creating the most accurate model and achieving the closest jump to the ground.
While the project may have looked like pure fun from the outside, it required advanced reasoning and analytical thinking. By working through the process of data collection, interpretation, and prediction, students experienced how linear regression is used in fields such as physics, economics, and engineering to make informed predictions based on patterns in data.
Roberts designed the project to show her students that math doesn’t exist in isolation. It’s a tool for understanding and interacting with the world around them. The Barbie Bungee Jumping Project amplified that vision, allowing students to see how mathematical equations can model real-world outcomes with both accuracy and creativity.
Through this innovative activity, Roberts’ class not only strengthened their grasp of key mathematical concepts but also learned the importance of testing, teamwork, and data-driven decision-making. In the end, the project proved that math can be more than numbers on a page; it can be hands-on, exciting, and even a little daring.
