Correlation
Correlation Coefficient
Linear Association
Explanatory (independent) Variable
Responsive (dependent) Variable
Scatterplot
Calculating Sample Statistics
This video demonstrates how to collect our data.
This video demonstrates how to calculate a linear regression model when you have the correlation coefficient and summary statistics of two quantitative variables. I also review how to make predictions from the linear regression videos and how to find a residual.
Source: Rachel Orr-Depner
When I was in the classroom and I was running this activity with my students, we would typically end it by using the linear regression model to predict how many rubber bands Barbie would need on her bungee if she wanted to jump from 2 stories high. I would measure the distance in inches (usually from a stair well), and then we would test our predicted number of rubber bands. The goal was to get Barbie's head as close to the ground with out having her actually hit her head! So if you have the space, it is a lot of fun to try it out!
Try this experiment with not just Barbie, but also with Ken! What difference do you think you'd see in their linear regression models?
