In this video, we are going to talk about correlation. First we will go back in and just briefly review summarizing scatter plots quantitatively, and talk about all the other things we have talked about with scatter plots so far. Then we will talk about eyeballing the correlation coefficient or what we call r. Actually if you have a set of data that looks a particular way, you could sort of ballpark where the correlation coefficient falls and we already talked about precisely calculating it. Then we are going to go back and talk about the relationship between r and b1 or slope of our regression line. Examples are also included.
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.