Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Perhaps the most fundamental type of R analysis is linear regression. Linear regression can be used for two closely related, but slightly different purposes. You can use linear regression to predict ...

This section is intended to get you introduced to step-wise and logistic regression in R. Many of the same commands used in linear regression are applicable here so we will not go over them again.

This project demonstrates a step-by-step guide to building a linear regression model using the Iris dataset in R. The Iris dataset is a well-known dataset that contains measurements of different ...

Linear regression is the type of regression in which the correlation between the dependent and independent factors can be represented in a linear fashion. In this article, we will tailor a template ...

9.1.3 Model quality and statistical significance. We will come back to the question of whether the linear model is valid (whether it satisfies the assumptions of the technique). First we want to ...

Understanding of Non-Linear Regression Models; Knowledge of programming ; Polynomial Regression. Polynomial regression is very similar to linear regression but additionally, it considers polynomial ...

The book has a very broad coverage, from illustrative practical examples in Regression and Analysis of Variance alongside their implementation using R, to providing comprehensive theory of the general ...