Regression is a statistical technique used to model the relationship between a dependent variable and one or more independent variables. The goal of regression analysis is to understand and quantify the relationship between variables and make predictions based on that understanding. It is widely used in various fields, including economics, finance, biology, psychology, and engineering.
a. Statistics:
- In traditional statistics, regression analysis is a well-established method for examining the relationship between variables, making predictions, and understanding the underlying structure of data.
- Statistical regression models often emphasize inference and hypothesis testing, helping researchers draw conclusions about population parameters based on sample data.
- Assumptions of normality, linearity, and homoscedasticity are typically emphasized in statistical regression analysis.
b. Machine Learning:
- In the context of machine learning, regression is a type of algorithm that can be used for predictive modeling.
- Machine learning regression models, including linear regression and more complex algorithms, are trained on data to learn patterns and relationships. The focus is often on making…
