The document discusses simple linear regression, focusing on fitting a line to data points to minimize total error. It explores different line fits and their effectiveness in predicting values. Additionally, it emphasizes the importance of understanding the slope as the rate of change.

1. Simple Linear Regression (simplified)

2. x y

3. Fit a line. Is this one good enough? x y

4. Or is this one better? x y

5. The best fit is found by minimizing the total error. x y

6. Can now predict other values... x y

7. ... and the slope (rate of change). x y