In Project-Based Learning, students are constantly gathering data about their project and making decisions based off of it. Linear data is a fairly common type of data that is extracted from projects, either by design or by chance. Once you know that a set of data is or should be fairly linear, it is helpful for students to look at and analyze the data to make inferences from it. Think of the Barbie Bungee project some students do, where they are trying to figure out how many rubber bands should be on Barbie's bungee to make sure she has a great thrill but doesn't die. Students could run this experiment and gather their data and use a tool, like the one presented here, to make inferences about how many rubber bands would be needed for different drop heights. Without further ado, here is an excellent source for finding the Line of Best Fit!
Description of Learning Activity
1. Learning Activity Types
2. What mathematics is being learned?
- Select and use appropriate statistical methods to analyze data
- Develop and evaluate inferences and predictions that are based on data
- PS-conceptual understanding
- Students are working on representing various information in different ways and seeing the usefulness behind each of the representations. Students are practicing with data as a coordinate point, a table, and a graph. Students are also practicing with lines as equations and graphs and are interpreting the various components of those lines as they change one or the other.
- PS-procedural fluency
- Students are becoming more adapt at creating graphs as well as creating equations for lines to best fit the graph.
3. How is the mathematics represented?
4. What role does technology play?
- Computing & Automating - This tool is very handy for quickly plotting data and creating lines of best fit, tasks that can take up quite a bit of time in the classroom when done by hand.
- Representing Ideas & Thinking -
- Accessing Information -
- Communicating & Collaborating -
- Capturing & Creating - Students can use this tool to create a graph of any data of their choosing and can then create a line of best fit for the data.