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HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)
book

HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)

by Harvard Business Review
March 2018
Beginner content levelBeginner
256 pages
3h 56m
English
Harvard Business Review Press
Content preview from HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)

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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Publisher Resources

ISBN: 9781633694293