March 2015
Beginner to intermediate
396 pages
10h 23m
English
Content preview from Improving the User Experience through Practical Data AnalyticsBecome 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,
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Chapter 9
Can you relate? Correlation and simple linear regression
Abstract
This chapter considers the relationship between two variables. An illustration might be to investigate if there is a relationship between perceived sophistication of a design and the amount of previous experience buying consumer products online—and, if so, what is that relationship? We introduce simple regression analysis, which explores the relationship between an interval-scale or ratio-scale variable and a second variable of any scale, although more often than not, the second variable is also an interval-scale or ratio-scale variable. Examples could be the two variables that are each measured on a Likert scale or the above-mentioned example of perceived design sophistication ...
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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.
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.
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.
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.