Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

I like google docs because it is in a webpage. However, it does lack one thing that both Open Office and Excel have - the 'trendline'. Trendline is a dumb word for linear regression fit. What is a ...

What Are Some Ways Linear Regression Can Be Applied in Business Settings?. During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and ...

Linear regression forecasting is a time-series method that uses basic statistics to project future values for a target variable.

This article explains how to implement linear ridge regression from scratch, using the C# language. Linear ridge regression (LRR) is a relatively simple variation of standard linear regression.

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Scaled sparse linear regression jointly estimates the regression coefficients and noise level in a linear model. It chooses an equilibrium with a sparse regression method by iteratively estimating the ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.