Regression Analysis

Regression analysis is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It helps in predicting outcomes, understanding correlations, and identifying trends in data. Common types include linear regression, logistic regression, and multiple regression.

Also known as: Regression, Regression Modeling, Statistical Regression, Regress, Regr

Why learn Regression Analysis?

Developers should learn regression analysis for data-driven applications, such as predictive modeling in machine learning, business analytics, and scientific research. It is essential for tasks like forecasting sales, analyzing user behavior, or optimizing algorithms based on historical data.

Learning Resources

• docs: Regression Analysis - Wikipedia
• video: Regression Analysis Tutorial by StatQuest
• course: Regression Analysis Course on Coursera
• tutorial: Regression Analysis in Python - Real Python
• book: An Introduction to Statistical Learning