We begin preparing to learn about multiple regression by looking at cor-
relation analysis. As you will see, the basic purpose of correlation analysis
is to tell you if two variables have enough of a relationship between them
to be included in a multiple regression model. Also, as we will see later,
correlation analysis can be used to help diagnose problems with a mul-
tiple regression model.
Take a look at the chart in Figure 1.1. This scatterplot shows 26 obser-
vations on 2 variables. These are actual data. Notice how the points seem
to almost form a line? These data have a strongcorrelation— that is, you
can imagine ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month, and much more.
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.