Number Line for Data Metrics: Regression, Median, and Standard Deviation

This GeoGebra example visualizes data on a one-dimensional number line, using geometric constructions and transformations to build intuition for statistics such as the median and the standard deviation, alongside linear regression trends. It connects basic arithmetic (addition/subtraction as displacements) with deeper ideas: linear regression as a fitting rule, the median as a measure of central tendency, and standard deviation as a measure of spread. Construction highlights from the command summary include Segment and Point to create the number-line interval and key reference points, Polygon to emphasize selected ranges/regions, Textfield and Text to input parameters and label computed results, and Vector to represent translation/displacement quantities; Vector-based objects (u, v) and parameter-driven elements (InputBox1/2, q1, f, Pmin/Pmax) help control the computed/statistical visuals. It is appropriate for middle and high school learners in probability & statistics and for students doing hands-on math visualization and exploration.