But first, let us define quantile and regression. As a result, it is crucial to define quantile regression as it is an excellent alternative to using linear regression in data analysis. Understanding the meaning of quantile regression is critical to thoroughly grasping the detailed information about it. This article explores different questions that will help you get started with quantile regression, its applications, when to use quantile regression, and a few essential questions. It explores different medians across different data distributions, and each median is known as the conditional median. However, quantile regression has advantages over linear regression. One of them is having a fixed mean across the whole data. Linear regression has its loopholes in analyzing data across a specific distribution.
