This includes interpreting the slope and y-intercept, assessing the model’s fit, and reviewing related statistics like the coefficient of determination, or R².

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 ...

The y-intercept of a linear regression relationship represents the value of one variable, when the value of the other is 0. In linear regression, every dependent value has a single corresponding ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...