Regression Line with Mathematics for the Linear Regression

Author(s): Gul Ershad

Originally published on Towards AI.

The equation of Intercept a:

Regression is a prediction where the target is continuous and its applications are several. It is the simplest parametric model. Every data-set is given in a pair consisting of an input feature vector and label value. The main goal is to hypothesize the parameters to predict the target values of the test data after training from the training data-set.

The below table has two variables X and Y. Here, Y is known as the target variable or independent variable, and X is known as the explanatory variable.

X and Y variables

The prediction of the height of a child based on his age… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI