In this lesson, we are going to talk about the difference between r and r^2. First we will introduce the quantitative r^2 and see why we cannot just square r and get the r^2. In order to get to the meaning of r^2 we have to understand that sum of squared differences is actually going to split apart into different ways. We are going to learn how to parse the different parts of the sum of squared differences. Then we are going to talk about what r2 means for a very strong correlation. At the end we will do some examples regarding this topic.
Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.
This book provides a clear and methodical approach to essential statistical procedures. It clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. This book features a new emphasis on expressions involving sums of squares and degrees of freedom as well as a stronger stress on the importance of variability.