The False Position Method, also known as the Regula Falsi, is a numerical technique used to find the roots of a function. It combines features of the bisection method and linear interpolation. By selecting two initial points where the function changes sign, the method iteratively refines these points to converge on a root. In each iteration, the method calculates a new point based on the linear approximation of the function between the two selected points. If the new point yields a function value that changes sign with one of the original points, it replaces that point, continuing the process until the root is sufficiently approximated.