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