Prueba F

Prueba F, or the F-test, is a statistical method used to compare two models to see if one explains the data significantly better than the other. It evaluates whether the additional factors or variables in a more complex model improve the prediction enough to justify their inclusion. Essentially, it checks if the more complicated model provides a meaningful improvement over a simpler one. This test is common in regression analysis and hypothesis testing, helping researchers decide if the relationships they observe are statistically significant or likely due to random chance.