Two-Variable Regression: Statistics and Fit Visualization

This example demonstrates how the Two Variable Regression tool computes and visualizes statistical quantities derived from a bivariate data set. It highlights what regression “means” numerically by showing the calculated fit-related values and linking them to the corresponding graphical elements. Key concepts include two-variable (bivariate) linear regression, the least-squares fitting idea, interpretation of regression coefficients, and the role of statistical indicators for assessing how well the model matches the data. Construction-wise, the GeoGebra setup uses multiple objects (A1–A10 and B1–B10) to represent the data-related variables, intermediate computed quantities, and the displayed outputs associated with the regression process, enabling the statistical results to appear alongside the regression visualization. Suitable for upper secondary school through introductory undergraduate coursework in probability & statistics and data analysis, supporting instruction on building models from data and interpreting regression statistics.