Track 09

This learning path is designed to develop the following skills:  

• Linear regression: the concept, the corresponding metrics, and their meanings.

• A simple numerical example using Python commands. Explain the summary of results that appear including performance metrics like R squared, Adjusted R squared, and the test of hypothesis with its p-value related.

• A warning about correlation is not causation and some interesting and funny examples about it.

• Linear regression for dummy input variables (categorical like true or false).

• Multiple linear regression: the concept and numerical example with a Python code.