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 10
Can you relate in multiple ways? Multiple linear regression and stepwise regression
Abstract
Chapter 9 considers the relationship between two variables. Chapter 10 expands the perspective of Chapter 9 and considers the relationship between one dependent variable and several independent variables. For example, we might wish to predict an overall evaluation of a product (Y, the dependent variable) based on the knowledge of several X’s (independent variables), each of which is an evaluation of individual components of the product. When there is more than one independent (X) variable, we refer to the analysis as multiple regression. We also introduce a prominent variation of the traditional multiple regression process called stepwise regression ...
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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.