Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Regression analysis (or, more specifically, linear regression analysis) finds a "line of best fit" between a response variable and one or more explanatory variables. This applet allows users to look ...

9.1 Linear Regression 9.1.1 Review of the basics The lm function in R constructs—as its name implies—a linear model from data. Recall that a linear model is of the form Y = β0+β1X1+...+βnXn Y = β 0 + ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...