Building a SLR model is about finding the coefficients for the equation mentioned in Linear Regression.

Given a quality metric (examples will be using MSE), it’s possible to find the best fit for a simple linear regression using two approaches.

## The mathematical approach

unaswered There’s an equation that does it, and it envolves also finding the slope of the line.

For multiple linear regression:

- Ordinary Least Squares
- Takes long time for large datasets

## The optimization (engineering) approach

- Gradient Descent