## Overview#

Linear Regression is used in Machine Learning and statistics.Linear Regression is a linear model, e.g. a model that assumes a linear relationship between the Independent variable (x) and the single Dependent variable (y).

- simple Linear Regression - When there is a single input variable (x)
- multiple Linear Regression - When there are multiple input variables

The linear equation assigns one Scalar factor to each input value or Vector, called a coefficient that is commonly represented by the Greek letter Beta.

### More Information#

There might be more information for this subject on one of the following:- Bias error
- Correlation
- Least Absolute Shrinkage and Selection Operator
- Machine Learning Algorithms
- Regularization
- Supervised Learning