# Quadratic P-value

*Lead Author(s):* Peter Bacchetti, PhD
This is a P-value for the hypothesis that a numeric predictor has a linear effect. When P<0.05, this is usually interpreted as considerable evidence against this assumption, so you should consider alternatives, such as breaking the predictor into categories or modeling it more flexibly with polynomials or splines.