Scrabble Score of Your Name: Random Shuffle and Linear Fit

① This example converts the letters of a name into Scrabble scores and uses random shuffling to generate multiple data sets, demonstrating how to plot score versus letter position and fit a trend line. ② Core mathematical concepts include linear regression, random sampling (shuffle), data distribution, and function fitting, along with letter-frequency-to-value mapping. ③ Construction highlights: from the summary, it uses GeoGebra commands Shuffle to randomize letter sequences, FitLineY to compute the least-squares regression line, and Length to measure sequence size; objects include numerous points A1 to B21 storing position and score data for each shuffle. ④ Suitable for upper secondary or introductory university statistics courses, offering an intuitive grasp of linear regression, randomness, and data visualization, and serving as an engaging cross-disciplinary (language and math) project.