In this activity, students will use data collected from the Energy Information Administration on the yearly price of regular gasoline and determine whether a relationship exists between our variables. Students will use the capabilities of the TI-Nspire to graph various regression equations and estimate future prices of gasoline.
Before the Activity
This activity is designed for use in an Algebra classroom. Prior to this activity, students should have basic knowledge of various types of functions (linear, quadratic, etc.) and how to enter data into a spreadsheet.
During the Activity
This activity is teacher centered. The teacher will lead the activity so that students can develop and understand the relationships encountered with various regression equations. Students should be allowed to explore various types of regression equations.