Learn how to implement linear regression from scratch in C++ — a foundational machine learning algorithm made simple.

Different Types and Use Cases Introduction What is Linear Regression? Linear regression is a fundamental statistical method used to model and understand the relationship between different variables.

For electronics, linear regression has many applications, including interpreting sensor data. You might also use it to generalize a batch of unknown components, for example.

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

Using Linear Regression Because much economic data has cycles, multiple trends and non-linearity, simple linear regression is often inappropriate for time-series work, according to Yale University.