The thing about my way of teaching stats is that my cool, novel examples get old really fast. Like, pop culture is on a thirty-day cycle. Anyway, YEARS ago, 2014 to be exact, I blogged about illustrating bimodal data distributions using baby name data from the Social Security Administration. Specifically, when an older name comes back into vogue, it has a bimodal distribution when you plot time on the X axis. I stand by this example. However, all of the data illustrations come from 2014. When our traditionally aged college students were 6 or 7. Which makes this example feel a little stale. However, here is some data, courtesy of Redditor fevaah , showing old names that are back in vogue through 2025 ! And Eleanor, Violet, Nora, and Hazel are here, illustrating bimodal distributions for a new generation. If you used my old baby-name data, this is a quick, easy refresh for your lectures (or a fun new addition if you didn't). If this idea was help...
There are already some pretty cool games for guessing linear relationships/regression lines. Dr. Hill's Eyeball Regression Game . The old, reliable Guess the Correlation game. However, I found a new one that has a particularly gorgeous interface, and a few extra features to help your learners. History of Data Science created the Regression game . It provides the player with a scatter plot, then the player needs to guess the y-intercept and slope. See that regression line? It is generated and changes as the entered a and b values change, which is a good learning tool. If played at the "easy-peasy" level, the player can even change those numbers multiple times over the course of 30 seconds, and watch as the corresponding line changes. I think this game is a nice way to break up the ol' regression lecture and allows students to see the relationship between the scatter plot and the regression line.