Table of Contents
Linear Regression
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It assumes a linear relationship between the independent variables and the dependent variable.
In simple linear regression, we model the relationship between one independent variable x and one dependent variable y as a straight line:
y=β0+β1x+ε
where:
- y is the dependent variable,
- x is the independent variable,
- β0 is the intercept,
- β1 is the slope,
- ε is the error term.
We print the first few rows and summary statistics of the dataset to understand its structure and distribution.
