👉 In statistics, "overdetermined" refers to a model where there are more variables than parameters. This means that the number of variables is greater than the number of parameters required to estimate them accurately. Overdetermined models can be used in linear regression and other statistical analysis tasks when the relationship between the variables is complex or nonlinear.
