Research Topic · Peer-Reviewed

Regression Analysis

Regression Analysis is a type of statistical analysis used to understand the relationships between different variables. It investigates the strength of the relationship between a dependent variable and one or more independent variables, allowing the user to understand its relative importance. Regression analysis is …

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 124× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Regression Analysis is a type of statistical analysis used to understand the relationships between different variables. It investigates the strength of the relationship between a dependent variable and one or more independent variables, allowing the user to understand its relative importance. Regression analysis is commonly used in fields such as economics, finance, marketing, psychology, and epidemiology to test hypotheses and make predictions. It also allows researchers to identify potential areas of improvement, as well as to detect potential problems or patterns. The results of this analysis can be used to make decisions, inform policy, and improve business operations.

Research published in this journal

12 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 12 articles above have been cited 124 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Regression Analysis, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.