A haiku poem that makes a parallel of parsimony between poetry and a statistical model (imagine changing its middle line to “predictors to a model”).
The poem was written by Lawrence Lesser from The University of Texas at El Paso in February 2021 and published in the April 2021 Amstat News.
A video from the 2019 US Conference On Teaching Statistics where Dennis Pearl from Penn State University is introducing the winner of that year's CAUSE/USCOTSLifetime Achievement Award in Statistics Education. He tells a story that can be useful in teaching the lesson that linear regression is inappropriate for making predictions well outside the range of the data. The story is loosely based on the phone call he made in ordering the trophy for the award.
A cartoon that can be used to introduce a variety of issues in the regression setting. The cartoon was used in the April 2021 CAUSE cartoon caption contest and the winning caption was written by Christopher Jay Lacke from Rowan University. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
A cartoon to be used in discussing forecasting. The cartoon was created by American cartoonist Jon Carter.
A cartoon that can be used to discuss the expression for a simple linear equation (Y=mx+b). The cartoon was drawn by American cartoonist Jon Carter in 2013.
A poem for encouraging discussion on aspects of making predictions using regression models (e.g. treating possible non-linearity). The poem was written in 2023 by Dane C Joseph from George Fox University in Oregon.
A song about regression to the mean written by Dennis K Pearl from Penn State University in February 2022. May be sung to the tune of the Scottish folk song "My Bonnie Lies Over the Ocean. The audio recording was produced by Nicolas Acedo with vocals by Alejandra Nunez Vargas, both students in the Commercial Music Program at The University of Texas at El Paso.
A 2020 cartoon illustrating the idea of heteroscedasticity (non-constant variance) that might be used to start a discussion on the important of the constant variance of errors in making inferences from regression models. The cartoon was used in a 2021 Teaching Statistics paper "Statistical edutainment that lines up and fits," by Dennis Pearl from Penn State University and Larry Lesser from The University of Texas at El Paso.
A quick "hands on" activity for an in-class experience of data collection as a simple linear regression example where students predict the time needed for a human chain of hand squeezes to make a full circuit as a function of number of people in the chain. The lesson plan secondary school lesson plan adapted from Cynthia Lanius’ hand squeeze activity by Bo Brawner at Tarleton State University.
A cartoon designed to support a discussion of using dummy variables to code for categories of a categorical variable in a regression model (e.g. 5 are needed when there are 6 categories). The cartoon was used in the February 2020 CAUSE cartoon caption contest and the winning caption was written by Dominic Matriccino, a student at the University of Virginia. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University. A second winner in the February 2020 contest was "The grass really is greener on the homogeneity side," written by Jennifer Ann Morrow, an instructor from University of Tennessee. Jennifer's cartoon caption can be used in discussing the importance of within-group variability in judging differences between groups and the difficulty when the groups being compared have different levels of variability.