Figure 1: This graph represents Linear Regression (a regression model) where a straight line fits the data points, predicting a continuous output. Example: Predicting house prices based on square footage. Figure 2: This graph represents Logistic Regression (a classification model) where data points are classified into two categories, usually indicated by a sigmoid curve. Example: Classifying emails as spam or not.