In this lesson by Douglas Whitaker, students explore nonlinear regression models to explain fish weight by using fish length. They will use both transformation of the response variable and polynomial regression. Geometric interpretations of variables are leveraged to suggest nonlinear models to fit. The intention of this lesson is for students to perform two or three linear … [Read more...] about Lesson Plan: Nonlinear Modeling: Something Fishy
models
Model t, or a Newer Randomization?
By Sean Bradley, Clarke University Anyone who loves math appreciates a good mathematical model. There is no shortage of useful workhorses in statistics–normal, t, F, and chi-square distributions come quickly to mind. Mathematicians and statisticians of yesteryear developed these beautiful models to overcome the inability to use brute force methods to answer statistical … [Read more...] about Model t, or a Newer Randomization?