I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

This includes interpreting the slope and y-intercept, assessing the model’s fit, and reviewing related statistics like the coefficient of determination, or R².

The y-intercept of a linear regression relationship represents the value of one variable, when the value of the other is 0. In linear regression, every dependent value has a single corresponding ...