The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

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

What are standardized residuals? How do I calculate it? How do I use it and interpret it? What are its benefits? The answers to these questions and more can be found below. Overview: What Are ...

Key Points Trend analysis is a method of using data to spot patterns for the sake of forecasting future events. There are ...

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...

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

The epidemic COVID-19 has profoundly influenced people's wellness worldwide and the number of fatalities from diseases continues to increase world-wide. Despite technology's remarkable success in our ...