The entire chapter has been presented with the popular wine quality dataset which is openly available from the UCI machine learning repository at https://archive.ics.uci.edu/ml/datasets/Wine+Quality.
Simple linear regression is a straightforward approach for predicting the dependent/response variable Y given the independent/predictor variable X. It assumes a linear relationship between X and Y:
β0 and β1 are two unknown constants which are intercept and slope parameters respectively. Once we determine the constants, we can utilize them for the prediction of the dependent variable:
