Selecting between simple and multiple regression is a balancing act between parsimony, and getting the most out of your data. There's two things to consider when selecting the best approach.

Multivariate regression models, building upon linear regression, enable the analysis of relationships between multiple independent variables and two or more dependent variables in data analytics.

A hands-on project demonstrating the implementation and comparison of Linear Regression, Polynomial Regression, and Multivariate Regression models using real-world-inspired datasets. Predicting Canada ...

linear regression vs logistic regression vs Cox regression model: linear regression for continuous outcomes, logistic regression for binary outcomes, and Cox regression for time-to-event outcomes. a.

In the last few decades, building regression models for non-scalar variables, including time series, text, image, and video, has attracted increasing interests of researchers from the data analytic ...

Abstract: In the last few decades, building regression models for non-scalar variables, including time series, text, image, and video, has attracted increasing interests of researchers from the data ...