Introduces methods, theory, and applications of linear statistical models, covering topics such as estimation, residual diagnostics, goodness of fit, transformations, and various strategies for ...

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 and ...

The two sample analysis of covariance model is considered where the regression lines are found not to be parallel. There are two analyses often utilized in this case. One is to obtain a standard ...