In regression models, the modeler has many choices for possible explanatory variable values. In this video, some common choices are discussed including quadratic terms, centering, and scaling explanatory variables for improved parameter interpretability. Probability playlist: https://www.youtube.com/playlist?list=PLFHD4aOUZFp1FxJs9BG5Sbsy6NvCO3Qb1 Inference playlist: https://www.youtube.com/playlist?list=PLFHD4aOUZFp1PZC6SgtuS-ESq4ti1GEFj Regression playlist: https://www.youtube.com/playlist?list=PLFHD4aOUZFp2xijRVpW7ucwSbToEAGBzq STAT 587: https://www.jarad.me/courses/stat587Eng/ STAT 587 Videos: https://www.jarad.me/courses/stat587Eng/slides/ Slides: https://www.jarad.me/courses/stat587Eng/slides/Regression/R01-Simple_linear_regression/R01-Simple_linear_regression.pdf 00:00 Introduction 00:49 Functions of explanatory variables 02:33 Quadratic 03:22 Logarithmic 04:06 Shifting the intercept 08:00 Rescaling the slope 10:52 Summary Amazon affiliate links to props: Tetris light: https://amzn.to/3g8BXde Dragonwood: https://amzn.to/3k96IS7 Jumbo penny: https://amzn.to/3g8BXde Jumbo quarter: ?? DCI Science Quiz Wal Clock: https://amzn.to/3g8BXde Foam dice: https://amzn.to/3g8BXde TIX LED Clock: https://www.geekalerts.com/tix-led-clock/ Bicycle Playing Cards: https://amzn.to/2E36Na8 Recording in progress door hang sign: https://amzn.to/3la32Av