This cartoon caption can be used in a conversation about the least squares method for estimation in the regression setting. The cartoon was used as one of two cartoons in the September 2024 CAUSE cartoon caption contest and the winning caption was written by Nate Josephs from North Carolina State 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.
This cartoon caption illustrates the idea that the value of a regression predictions may be sensitive to noise and outliers. The cartoon was used in the May 2024 CAUSE cartoon caption contest and the winning caption was written by retired AP statistics teacher Jodene Kessler. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This cartoon caption illustrates the dangers of extrapolation beyond the range of the data and that making reliable predictions from models requires an adequate sample size to estimate parameters. The cartoon was used in the February 2024 CAUSE cartoon caption contest and the winning caption was written by Larry Lesser from The University of Texas at El Paso. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This cartoon caption is intended to help discuss how outliers in linear regression models are worth studying and can lead you to further research questions. The cartoon was used in the December 2023 CAUSE cartoon caption contest and the winning caption was written by Jeremy Case from Taylor 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.
This cartoon caption is a funny way to start a conversation about the difference between a regression fit and a line plot and the type of data involved. The cartoon was used in the August 2023 CAUSE cartoon caption contest and the winning caption was written by Javier Lopez, a student at Penn State 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.
This music video describing the meaning/interpretation of an influential point in a regression analysis was created by Mary McLellan, a teacher at Aledo High School in Texas, who wrote the lyric and performed and produced the video. The song is sung to the tune of the 1978 song “You’re the one that I want” from the movie Grease. The song was part of a pair of songs that took third place in the 2019 A-mu-sing Contest.
This music video describing the problem with extrapolating beyond the range of the data in making predictions was created by Mary McLellan, a teacher at Aledo High School in Texas, who wrote the lyric and performed and produced the video. The song is sung to the tune of the 1984 Bruce Springsteen hit “Born in the U.S.A.” The song was part of a pair of songs that took third place in the 2019 A-mu-sing Contest.
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.