L-2 Loss Function for Linear Regression on y=2x

This example demonstrates the L-2 loss function (Mean Squared Error) in the context of linear regression for the linear function y=2x. It involves core mathematical concepts such as linear regression, loss functions, mean squared error, and function graphing. The construction utilizes GeoGebra objects/commands like a (data points), f (function y=2x), b (variable range), c (error calculation), d (loss function graph), e (distance between data points and function line), and g (overall loss value). Suitable for high school and above students learning about linear regression model evaluation and loss function visualization.