Least Squares Method

The Least Squares Method is a statistical technique used to find the best-fit line through a set of data points in a graph. It minimizes the differences between the actual data points and the points predicted by the line, specifically by reducing the sum of the squares of these differences. This approach helps to create a model that best represents the trend in the data, making it useful for predictions and analysis in various fields, such as economics, science, and engineering. Essentially, it provides a mathematical way to understand relationships in data.