What is more engaging for teenage than analyzing the most recent data of their favorite players and sports teams? During this activity students will analyze sets of data from basketball, football, hockey, and NASCAR. Students are asked to calculate the linear regression equation (using their calculator), interpret the slope and y-intercept in context, calculate and interpret the correlation coefficient, and make predictions with the linear regression equation.
Before class teachers should print/copy the data on colored paper (ex: basketball on orange, football on green, hockey on yellow, and NASCAR on blue). Cut out the 20 pieces of data and hang them around the room. Students will have to move around the room to collect the data in order to complete the activity.