Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do with electronics ...

Estimating Coefficients and Predicting Values. The equation y = mx +b represents the most basic linear regression equation:. x is the predictor or independent variable; y is the dependent variable ...

A linear relationship (or linear association) is a statistical term used to describe the directly proportional relationship between a variable and a constant.

In the context of regression, the term “linear” can also refer to a linear model, where the predicted values are linear in the parameters. This occurs when E( Y|X ) is a linear function of a ...

A regression equation with a zillion dummy variables in it is hard to read and has little generalizable business value. For example, instead of having a factor “city” with many different levels/values ...