Solution

Solution

Linear regression is a widely used statistical model that helps understand the relationship between two variables. It is often used to predict one variable based on another.

For example, daily earnings ($Y$) can be predicted from the number of customers ($X$) using $Y = \beta_{0} + \beta_{1} X + \epsilon$. The slope $\beta_{1}$ shows how much $Y$ changes for each extra customer.