Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. The goal of linear regression is to find the linear equation that best predicts the dependent variable based on the value(s) of the independent variable(s).
### Key Components of Linear Regression:
1. **Dependent Variable (Response Variable)**: The variable we are trying to predict or explain. Often


