To define the error between two points with different coordinates, the distance formula is commonly used, calculated as the square root of the sum of the squared differences in their x and y coordinates. This distance can represent how far one point is from the other, indicating the level of error if one point is considered the true location. Additionally, when comparing overlapping boxes of different sizes, calculating the areas of both boxes can help determine the percentage of overlap, providing a clearer measure of how much the "wrong" box covers the "true" box. This approach combines geometric distance with area calculations to quantify error and overlap effectively. Understanding these concepts is crucial for applications in fields like data analysis and spatial modeling.