Least squares procedures are mathematical methods used to find the best-fitting line in data analysis. They are commonly used in statistical analyses to determine relationships between variables. The procedures start with simple linear cases and can be expanded to more complex scenarios with multiple variables. Graphs and examples are used to illustrate the process. The paper also discusses how these procedures can be applied to nonlinear cases.