Finally, let's review yet another model—arguably, the most established and popular around the world. Linear regression is actually a statistical model with a long history. The idea behind linear regression is as follows.
Assuming that variables have linear relationships, independent variables are not correlated, and there is a certain variance in the features, we can estimate the linear relationship between independent and target variables. As a result, our model will be present as a set of coefficients, one per each feature (independent variable), plus one for bias:
Here, i stands for the record index and p for the index ...
