False.
Regression is a type of supervised learning, but it works on continuous data (e.g., predicting salary or house price). It is the Classification model where data is classified according to labels and data need not be continuous.
The statement mixes up two sub-types of Supervised Learning. The textbook clearly states: Classification — data is classified according to labels, works on discrete (non-continuous) data; Regression — works on continuous data to predict a value. The statement incorrectly attributes classification's features to regression, making it False.