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

This research aims to evaluate the market variables capable of influencing the price of iron ore through multivariate statistical techniques. Principal component analysis and multiple linear ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Through Principal Component Analysis (PCA) and multiple linear regression models, the comprehensive impact of various economic factors on the minimum allowance standard is thoroughly analyzed, with an ...

In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of pre-trained ...

Keywords: pseudomyxoma peritonei, peritoneal cancer index, prediction, multiple linear regression, surgery Citation: Bai M, Feng J, Liu J, Li Y, Xu Y, Ma F, Ma R, Liang G, Liu X and Zhao N (2024) ...

Multiple Linear Regression: Multiple linear regression describes the correlation between two or more independent variables and a dependent variable, also using a straight regression line.