Chapter 8: Statistics for Regression
In this chapter, we are going to cover one of the most important techniques—and likely the most frequently used technique – in data science, which is regression.
Regression, in layman's terms, is to build or find relationships between variables, features, or any other entities. The word regression originates from the Latin regressus, which means a return. Usually, in a regression problem, you have two kinds of variables:
- Independent variables, also referred to as features or predictors
- Dependent variables, also known as response variables or outcome variables
Our goal is to try to find a relationship between dependent and independent variables.
Note
It is quite helpful to understand word origins or how the scientific community chose a name for a concept. It may not help you understand the concept directly, but it will help you memorize the concepts more vividly.
Regression can be used to explain...
