This　paper　investigates　the　hypothesis　test　of　the　parametric　component　in　partial　functional　linear　regression.　We　propose　a　test　procedure　based　on　the　residual　sums　of　squares　under　the　null　and　alternative　hypothesis,　and　establish　the　asymptotic　properties　of　the　resulting　test.　A　simulation　study　shows　that　the　proposed　test　procedure　has　good　size　and　power　with　finite　sample　sizes.　Finally,　we　present　an　illustration　through　fitting　the　Berkeley　growth　data　with　a　partial　functional　linear　regression　model　and　testing　the　effect　of　gender　on　the　height　of　kids.