July 2017
Beginner to intermediate
442 pages
10h 8m
English
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:
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