Overview
Regression analysis is used to model the relationship between variables and predict the value of a dependent variable (target) based on one or more independent variables (predictors).
Common Types
- Linear Regression: Modeling a linear relationship between variables.
- Logistic Regression: Used for classification problems (predicting a binary outcome).
- Polynomial Regression: Modeling non-linear relationships.
Use Cases
- Predicting house prices based on square footage and location.
- Estimating the impact of marketing spend on sales revenue.