[i]GeoGebra[/i] kann Funktionsgraphen in der [img]https://wiki.geogebra.org/uploads/thumb/c/c8/Menu_view_graphics.svg/16px-Menu_view_graphics.svg.png[/img] [i]Grafik-Ansicht [/i]darstellen. [br][br]Einerseits ist es möglich, eine Funktionsvorschrift direkt in die Eingabezeile einzutragen.[br][br][img]data:image/png;base64,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[/img][br][br][br]Anderseits kann ein Funktionsgraph auch mithilfe des GeoGebra-Befehls[i] Trendpoly[/i] über eine Liste von Punkten definiert werden.[br][br] 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[/img]
[b][size=150]Arbeitsauftrag[/size][/b][br]Erstellen Sie im unten stehenden Applet den Graphen der Funktion [math]f\left(x\right)=0.25x^3-1.25x^2+0.5x+3[/math], indem Sie die Zuordnungsvorschrift in die Eingabezeile schreiben.
[b][size=150]Arbeitsauftrag[/size][/b][br]Erzeugen Sie im unten stehenden Applet die Punkte [math]A=\left(-1,1\right)[/math], [math]B=\left(0,3\right)[/math], [math]C=\left(2,1\right)[/math] und [math]D=\left(4,1\right)[/math]. Erstellen Sie nun mithilfe des [i]TrendPoly-Befehls[/i] einen Funktionsgraphen, der durch die Punkte A, B, C und D verläuft.