March 2018
Beginner
256 pages
3h 56m
English
Content preview from HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)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,
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CHAPTER 10
Understanding Regression Analysis
by Amy Gallo
One of the most important types of data analysis is regression. It is a common approach used to draw conclusions from and make predictions based on data, but for those without a statistical or analytical background, it can also be complex and confusing.
To better understand this method and how companies use it, I talked with Thomas Redman, author of Data Driven: Profiting from Your Most Important Business Asset. He also advises organizations on their data and data quality programs.
What Is Regression Analysis?
Redman offers this example scenario: Suppose you’re a sales manager trying to predict next month’s numbers. You know that dozens, perhaps even hundreds, of factors from the weather ...
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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.
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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.