Least Squares Adjustment

Least Squares Adjustment is a mathematical technique used to find the best fit for a set of data points. Imagine you have a scatter of dots on a graph, and you want to draw a straight line that most closely represents the overall trend of those dots. The purpose of least squares is to minimize the distance between the line and all the dots, ensuring the errors (the gaps) are as small as possible. This method is commonly used in statistics, engineering, and various fields to analyze and interpret data accurately, providing reliable estimates and predictions.