Regression analysis is a statistical technique used to find relationships between independent and dependent variables. Regression analysis uses historical data and observation to predict future ...

Although any single variable may depend on more than one factor, for regression analysis, choose only two variables at a time. Gather as much data relating to your hypothesis as possible.

Nonparametric statistics are statistical methods that do not assume data follows a specific distribution model defined by a limited number of parameters, allowing for greater flexibility in analysis.

What does regression analysis actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Learn to apply multiple regression techniques to predict continuous outcomes, use logistic regression for binary outcomes, and employ Cox regression for survival analysis.

Looking to establish relationships in your data? Regression analysis can help. Machine learning can be a gateway to improved pattern recognition in your data. But to walk through that gateway ...

Using advanced techniques to make better predictions can help you stand out. Here's a step-by-step guide to learning how to do a regression analysis.

Longitudinal data frequently occur in many studies, such as longitudinal follow-up studies. To develop statistical methods and theory for the analysis of these data, independent or noninformative ...

This study investigates regression analysis of multivariate current status data using a class of flexible semiparametric transformation frailty models. The maximum likelihood estimation procedure is ...