Correlation and Linear Regression

  • Venkat Reddy Konasani
  • Shailendra Kadre
Chapter

Abstract

In the previous chapter, we covered how to prepare data for model building. In this chapter, we discuss model building, which may be the most important step in a data analytics project. We will discuss the most popular technique of model building—linear regression. We will first discuss correlation in detail and then discuss the differences between correlation and regression. Finally, we will show a detailed example of modeling using linear regression. We will explain the concepts using real-world scenarios wherever possible.

Keywords

Customer Satisfaction Stock Market Index Model Burger Fire Accident Model Sale 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Venkat Reddy Konasani 2015

Authors and Affiliations

  • Venkat Reddy Konasani
    • 1
  • Shailendra Kadre
    • 1
  1. 1.APIndia

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