IM Alg2.2.8 Lesson: End Behavior (Part 1)

What do you notice? What do you wonder?
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[/img][/td][td][img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALoAAAC5CAYAAACfmiVfAAAbOklEQVR4Ae2dZ8wVRReARX/op0FNjMYoFqJiL4nGXrDFQlQQYwMVCwoKtthCxC5BbFiwIPaCGguCJQq2KCSoxAZYgl0TRdRoookCzpdn5Nx37t7dfe/uzs5e7j2TbHZ3ZnbKmWfOnJltKxh1KoEOkMAKHVBHraJKwCjoCkFHSEBB74hmTq7k0qVLDVu7OwXdGPPVV1+ZFVZYwfz777/t3t519evbt6/ZeOONzVFHHWUmT55slixZUhfeTicdDzpwDx061PTu3bujQP/555/NZZddZuFesGCBOfjgg+15u2r3jgf9hhtuMNddd53ZZ599Ogr0Bx54wI5iH374oVXc48aNs+cKejuNY8vq8uabb9rGnT59ekuAjmZFyyaZUJgWM2bMsHGef/558+uvv+ZuFcy1yy+/vJYXMsB8++yzz3KnmfdC6jt16lRz1llnmWHDhpnnnnvO+7yhYzU6wsU2XbRokYWnKo0OuI888oiFd7311kvscF9++aU56KCDrJn12GOPmbPPPttsu+225ocffsjLV9112Ov9+vWrgV8X2MRJUufs7lJGkHvuucdssskm5tprrzUPP/ywrdfo0aO9wt6xoDN033333bYdgK0q0C+99FJz+umnmyeeeMJq1LhyANHgwYPtxFEmjPideOKJ5tBDDy0MBKMIaRUxWwYOHGhee+217rhuCL///vttvWkPcTK6oNl9uY4EnQYdOXKktc2vvvpqg/YAMKDL01hFGkM0IQBjOsSB/tdff5lVVlnFltPNS4CYPXu2653p+PHHHzfDhw+3k1I6/Ouvv57peokM6K+++qqcNrWnzrvvvrut93vvvVe7hmNkgSkj8qkF5jwoBDqFoLDvv/9+Q4EI81XIrHWjTPPnz69pKMDG/v3zzz9tUpRr2rRp5oUXXqjZvAzdLLHlbeisZYzGTwP9pZdesg2P5nWdgH7zzTe73rbeCxcuND/99JNtA+r7xx9/GFZa3DahvqeeeqqNj/9VV12Ve4kR0OkoWRzt0rNnT1s3TEhxv/zyi/UD9iKjjKTHvhDoU6ZMsQVdf/31zbnnnlsTIkIbMmSIAZ4kR5w8W1J6+JMeqwgDBgywNu8BBxxgHn30UXPBBRdYDb7ddtuZmTNn1pIgPo3DpIyyAk5ojS6FSQP9oYcesg1/2223SXS7p+zAcOaZZ9ZkDxhHHnmkHRn2228/OwrccccdBhD32msvc9NNN9lr33nnHbPvvvvaejOKsG200Ua5QWe+kwd0yh8FmnmH+CMXHy436PS6zTff3CxevNgOfW5hETbnTJiAKc5hk4qAGb522mknA4ikyZp2r169zDrrrGPWXHNN87///c+stNJK5rTTTotLquaHUDbddFPz6aefWr/zzz/flgPgn3rqKXvsakXKdtFFF5lBgwbZiemxxx5bOeh77713nRajjCyBIs9nnnmmVlcOBHTAJh5yB+h//vnHxsPG5boNNtjAoOE5ZiMenRtZuBsmXFJ71WUcc5JXo2M2USYX6BdffLFWVtc/JtumvXKDjpBlZgxc9GgRkjQAcCU5hE0lsm5J6ZE3AsMkwXFOI+LHktm9995rJ3MsyxVxpJt1ayY/5EBZozY6eTGPIIwR1HUi5wMPPNCWCc1//PHH16KIafPggw+aL774wqZRBGYSTqo7oJNfUnitUJGDDz74wJZL1vMJHjNmjG0rzJrKQacAVApwaISJEyfWqjB27Fjr59pdtcASD1yhMNJstdVWdeDQuYo6lr969OhhVl55ZWu2rbXWWmbdddc1G264oV0i23LLLe3IxAi122672dWMZvJMA53VIWSMCeI6AZ0VGRcwiXP99dfb69DmOOIUdUxeGXWo3xZbbGFHXkZdRlz84zaXjWj+1Js5BvXDxOR41KhR9rxPnz7Vgy6CE6359ddf2zoAE+u922+/fWohETpxs2wuyFGBRc/feustKyy0g09HuSlHlq2Z/EmPxo5qdK4VEwRZu05Ax0SLQkxHx0bn1r6PDi75klZc3YGT+VBcWHf5U3ZGXSCnTlIvZNHdtVKu7va5TRcSphC77rqr7d0iaJlIpNnnXEujoQWwv9dYYw2z9tprGya1PGRET956663NDjvsYHbeeWez55572kbDhk5z33zzjfn2229tFNFm7uSTYfvjjz9OS6KysDTQWTGiEySBjmmCY2UFSGiXWbNmNXR0bF80chnuwgsvtKtWWdNmSVJMYLmWG2jU96677hKvwvtCoAN3tAGkN6bZ55Saa2mQrFtSjUmHjkF5gAZNxjFLbLjvv//eYGawb0WXBjp122abbcwee+xRp7l5Roc6ylIqQz/n2MqYCxw/+eSTtrrIm4n+fffdV0r1zznnnFyg33nnnbaccvOOch599NHWjw7uyxUGnbt62MIU6umnn7aaGAGHts+BgVHh77//tkKiDGxoDIb+Qw45xLh333wJsGg6aGk0GqsglJeRjHNuXrk3YCZMmGDDmXBSV9HYXC9Kg7ub1JNRDFtZ0mIpEXhGjBhhlUDRMsddzzMqrMtndXPmzDGbbbaZbTee3UGbM995+eWXsyaVGr8Q6KSM0DETWIdmUsTaLJoVDRXaAcFJJ51kzjvvPLvEBgSHH364XVdGy1HWVnNATTmjG/6MjuKAedKkSRZklmMBmpUkt06ff/55rZOzFMmKBmvsrIqhyd24kq6v/RlnnGGeffbZzMnBCR2UTs5yMnesgZ/6+nS5Qacg3MCgQZj4cC63bkXL+Cxos2nRmK6QOC+zgZstl694Uh8Acesp6Uf9iB9C6QD6K6+8IsXItKfMUq9o+TMllBI5N+ise9ILmTwiSAp68sknmx133NF89913KVlqUDtKQGBt1brlBh24WQ2hF3PbnJsWmAzcMVWnEmg1CeQGnYrMmzfP2ldMQjBf0OrqVAKtKIFCoLdihbRMKoE4CSjocVJRv7aTQMeCzlyCtdpOnVNwF7WT6t+xoKOyWDWKvrQQUpVxk6gqxwsm1L+qF01C17vjQfcJWxw48nGk6M2U3377zYLG21lVOMpDeSlfJ7iOBp03anhGw5cjvWjH4U4tT+FFnbwU7DP/aB5p5/LIQVqcdgrraNABMA7CvA1MWi64aebBEUccYTUqz3VU4RT0KqReUZ6+QQdyt+NwDNBRJ2YLpgNbFeYL5XLLGi1ju513tEZHq/F2jC9HejwSgRNtHmcDi9kioLujgK+ydJeO707eXX5Vh3c86MDmywncpAdI2OdxDm3K63gCOi+Ch3Z0yKTyhS5LiPz8tXKI0nrOw/fKg6ywADxvTWGiRF3UbBHYQ5sv5MsI1Cmuo0EXDczelwMgns1PgkjMllVXXdVqdF4l5JrQ5gt5VnkPwZe8m02nrUAHoiuuuMJucbaxKxTCec8xqcEJHz9+vE0rriMQHpcXL4UnaXPyx2zhMw4ymgDb6quvXrPt3TKWdVxGBy+rrL7SbRvQsTeBDNjRpsAWvUkjQsNMYBKKFgV0Pl3BdeLc8Li0AEXWzN1wzBLSddOSNNkTTrlI/5NPPrF5860Wzik7+xBOQQ8h5ZLyAFjXJga2pOUztKqYClxHJwFccYS7pgcdRlZTiAOU7rBPOK8PkiZhSY54ArMLOvEpe1IHSUovrz9lp96d5NqmtqIppfGALmlVgbhijtAZABvQxQ8IoqYPfgIpx9KpiCcfccIEkThSjqR9FPSkeGX404kV9DIkGyBNtCEA86Y/tjOaVWCMZu+CLOvJ7NG4XBMHAeF0BBn2JU0ZObiGD9o366oEXcy8ZsvaDvHaRqMDKKsdAA50TCSTnAsymh+zBJDRdGhkN1zSSAI9Gi7n0T2fA3E3XkEkHz7S4/pzXLajLmyd5NoCdCDHRhYbF3MC4MUOjzYogIlpIsM4DS92dxroXBcXjp+YPtH8OOe7iTfeeGNtu/jii206vFDu+nNctkNWSWZd2XlXlX5bgI7JEZ0EJpkgCNq10ekcQMrn8ARUwqUjSMMQR+xvjklfnOQVvUbC4/ZVmi6U351sx5Wv3fzaAnQARUu5Lqp5iSNwoulF2+NPw6+22mq1y9F2Lgh0JOAXx+RVtD9+dBZ31Ubipe2rAl06pVv+tHK2S1hbgE5joNGx0eUmD3a3wCp2t2hc9sTnLx1sgH7KKafU2pT4gE0YE9vo2jjhgC3XE05nyOKqAl06NvtOcm0DOo2GZgVuNrch8Y8zbSR+3FBOZ0DrRdMSOAiXvMSkkbBm9lWDnqfMzdSrVeO0FehJQsZMAeokh3YWUyYpjm//qkCnc9KxO811RI27015VLLdVCbo73+gU4DsC9O4ak8lndDLb3TVFw6sCvYpOXVRWPq5X0I2xtnbo4bxK0Fk16jSnoC+bxAK6LD+GgKAq0OMm3iHqW3UeCrrzfqe7UlN2w1QBeqeuodOWCrox9i4omi5tZcY3+FWA3qlr6Aq6Q2/oIb0K0LmpRT3lxplT/bY/VI2+rIm5oRTyQacqQO/UNXSaWEFfBnroZbcqQKcjR+8Qt70qX1ZBBX2ZINB2PLNSluN/mu4m2pXfFrr+HJflQnfmsuqRJ10FfZnUeK4F+7Us99FHHxl3k9+e33LLLXX+xCnL0ZFDP+pQVl2ypltey2YtScXxQ69IVGG60JE77fFcwUpBXyYJViIAIevjtiLIrPvQoIfuyFnlUXZ8Bd2RMKBjO4dwoUHnHgH168SlRdpTQXeoZkUi1HMgoUGXya9T3Y46VNCd5gbyUE8xhgadunXq0iJNrKA7oIfUeqFBpwOHGq0ckbbMoYLuNEXIW+ShQQ85/3BE2jKHCrrTFCFXJkKCHnpFyRFpyxwq6JGmCKX5QoIuI1V3rxRGRNFWpwp6pDlDPdwVEvSQc4+IOFvmVEGPNEWolZeQoHf6igtNrKBHQA+l/UKC3ukrLgp6BHJOQ9mzIUEPNe+IEWfLeKlGjzSFrFD4fq3uxx9/NO729ttv21vyfM/d9efYpwu5kuSz3L7TUtBjJMoHfjBhfDo+G33llVfWtpEjR1rQjzvuuJqfhPvMV55xCfmFA5/l95WWgh4jyRAvKIQyXXj+POuXfmNEstx7KegxTQgcZb5tRJahQA/RaWNE2HJeCnpMk4SYkIYCXSei/zWwgh4DelkTUjerEKDrRLRL4gp6lyzqjpiQlvl+ZQjQ5T3YTp+I0rAKeh3eXSdl3yENATqft9CJ6H9tqqB3sV13VPYd0hCg83ubkB9lqhNgi50o6AkNUrZ9WzboIeYZCaJrSW8FPaVZylyxKBt0uVEE8OrURk9loMw16LJBV/u8vmlVo9fLo+5M7PQyVi3KBl3t87qm1FWXenHUn/FGDuYLN5B8uzJBV/u8sbVUozfKpM6nrPX0MkGX9XO1z7uaUkHvkkXsUVm2bpmg6xtFjU2poDfKpM5HVi+Kvlj8yCOPGHcbN26cNYvOO++8On/iFHHynyLfjxkXKVMrXKugd9MKAk7RxwFmzpxp3O2xxx6zoI8dO7bOnzhFnK+OWaQMrXitgt5Eq2AKsIrh05VlulBWve3f2FIKeqNMGnzK0JJlgO5r9GkQQBt4KOhNNCIA+V59KQN06ZC62tLYqAp6o0xifVh94a0joPfhygAd84q7ueoaJaCgN8ok1kduHqE1fTjfoMtDaL7K56OOrZSGgp6hNdCWvialvkHv27evTkJT2lJBTxFONMin1vQJus9yRevcLucKesaWFK1e1Fb3Cbpq8+4bUUHvXkZ1McRWL3oDyRfo8lxLGQ+e1VV8OT+pHPQ5c+aYSZMmVSLGRYsWmWuuuSZz3kDOU42YDHmdD9DpdKwEcZMoq5swYYKZO3du1su8xJ82bZp58cUXvaTVbCIdD/ro0aOblVVdPL6jDmR5n4EpCjqmE1/JZX0/jxnVSqCjMKZMmVInX98nCnpO0IGLW+15YS8COjeEBPK8Ha2VQAdquU8xZMiQUqBX0HOCTuMAHJodM+aKK67IpFnzgj5+/HjbudDkeSGn7K0GOmUSWSLPnj17Gp/QewF96tSpJu/GZIovy+a9vsh1jz76qDnmmGMK5T158mRz2GGHWdhXW201s//++5uhQ4eaMWPGmGuvvba2l2P82c4991x7zeDBg+25+Lt7uYa4pEv6QLDLLrsY8i1S92HDhpnbb7+9UBp588dc5DHi6PXUqXfv3raO1HPFFVe0xz6g9wK6zPwpnG4qAx8M9OjRI5YllnfzPMvjBfT58+ebvNtTTz1lrr766tzX582X62bNmmWGDx9eSt584D9pmz59unnhhRdsQ6JVZ8+enRiXNAgvUs+4a9GqaNS4sLL9+Fb83Xff3ZA39ezTp08D4Ntss41BmeYBHJMI5wX0ZWnl2lW9vJh31SVXZZ2L8troThKFDlvNRmdyv+2229Yg9wG3KyAFvcBk1BVk1mMFvWsdXZZKmYwW1dxJ7aCgK+hJbJTmH71hxDp6EbOkmYJ2POh33XVXM3LyHqdqjU699c6o92bVBKMSqBr0aHla7VyeyHQ1vbxBlef+QeUavdUEHKo8Cnr3kubOs3y2A7i5C533xRIFvXt5lxJDQe9erEAN3ExWeeFFoO/+ysYYCnqjTIL4KOjNiVmeJ+JZmCJOQS8ivQLXKujNCY87odxpRasXcQp6EekVuFZB7154mCpodB5gy2ubSy6Vg87smlfBsMV49JSnAF1HT+7fv7+10bDTilbYTVuOSZMyxDlesiBfysfDVb5cSNCRIWWPeytK5Ev9fMuXCaS0XVzbIktXvm7b0ybyhCbAc30RVynoLB0xNAE7jnN6sAsz4dhnNAjxqLzEL1JxriVNHgWV4TGaHo3A3TrKxcZxkQmRm34o0Ck3kFBHtqijTmXJlzef5BW/OPkhX8rkypc7o9EVFsIxX4q0e6WgR4XOOSDJxIMKR+0zBJHn1bG4vGgEhI0AySfqRKOIP+WhI/pwoUBHnigO9lHQqQ91dJ0rf9ffxzHlcMuAzCmDONqjV69edvSkXVwHE0mjrhsv6bixdZNiBvKnQggbFxUMfkDJMOvTxYEunSyaD42DhsnqeFXM3XioirRGjRpV51/WK2VxoKM0XPCoE7IoaiYkyYYyiJKKkznXxSmcpPSy+LcU6AAExAJSXOPIMJalkt3FjRN6nB/p0BCEZXUvv/yycTdeCCct7FLXn+MyXJwsXfAkz6R6S3jePWYicwCRHXvMpqhDJq6Wj4bnPW8Z0BEEmsS1z+Mah3hFev3ixYsbZBXXuHF+XJgX9GimoUwXyTdOlviJmSjxkuot4Xn3jByuOUI+0dGEtH3JN1pO76Dz8PyAAQNStxNOOKGuHHGQEyFOGGkNsWTJktR8pVx1mS/LJ9p5kkYOXw3RCqAnmS5Ruz0qr6zndKZmOxTylRE9az5p8b2DnpZZXFgS5MSlwlGho/Hjhry4tJv1S+o8cZPRaIdoNo9ovFYAHRMhOrmOgz9a9izncZBzvYzMLtS0Q7S9s+SVFrdS0NMgl0IDNcLHSXyGXJ8uCXSGWpYfxSU1moRn2bcC6JTXXc5Fvj7X0ruTF+GufJmo4leGqxR0gEVDxm1SWdE6NADxyhBEEug0PHYkE2Q2jvHz4VoF9Kh8XTu6SD1FpnFtSxgOWaLIypBvtOyVgh4tTNo5Q5wvyNLyiQsjX995hwY9rl6uXxkrHW76acch2na5AT1NUMtjWKuBvjzKMEuZFfQs0vIYV0H3KMwmklLQmxBSGVEU9DKkmpymgp4sm1JDFPRSxduQuILeIJIwHgp6GDlLLgq6SCLwXkEPK3AFPay8a7kp6DVRBDlQ0IOIuTETBb1RJmX6KOhlStdJmy/IjhgxorYNGjTI3unt169fzY9w3483OEXo6EMFPVDzL1261LjbvHnzLOi8VeP6c6zOvwQUdP8ybSpFNV2aEpO3SAq6N1FmS0hBzyavorEV9KISzHm9gp5TcDkvU9BzCq7oZQp6UQlmu15BzyYvb7EVdG+ibCohBb0pMfmPpKD7l2laigp6mnRKDFPQSxRuTNIKeoxQQngp6CGk3JWHgt4li6BHCnpQcVf/n9Gw1W2d3BT0sG2hGj2svGu5Keg1UQQ5UNCDiLkxEwW9USZl+ijoZUo3JW0FPUU4JQQp6CUINS7JGTNmGHfj03p83Oeqq66q8yeOOv8SUND9yzQ2xaefftq426233mpBv+SSS+r8iaPOvwQUdP8ybSpFNV2aEpO3SAq6N1FmS0hBzyavorEV9KISzHm9gp5TcDkvU9BzCq7oZQp6UQlmu15BzyYvb7EVdG+ibCohBb0pMfmPpKD7l2laigp6mnRKDFPQSxRuTNIKeoxQQngp6CGk3JVH24HOb0Oa/XsDf1p44403uqQROSoaHkmu7lRBrxNH6SdtAzq31OU/Q/wXh38eAWqc4zct/fv3tz+qkn/ouJ2DcP55yo+sJK20cOJm/fWLgh7XMuX5tQ3o/LZPfgKFuPjplPyOOyo+PvvmhvHXO/e34PwQLBrunhPu/jSMvNzzaH5x5wp6nFTK82sb0HlAytWqaPi4PxMjSjQ1n4JznftP0WinIV3SlxGCY1fD449fFqegZ5FW8bjZWqd4fqWlgFbt27evhRHNjhnjang34yiohNEpJH4ctJgwhAN4XDh+cr2bV9Kxgp4kmXL82wZ0xIN5AXBsUY3tii8OVEDHpAHWpHDCksIZJRR0V8qtddzSoKM907a5c+fWpCl2NfEBFvMD8yXOAbJr5hBHQBczJXqdaPwk0KPmTvR6PhvNI7myDR061HaogQMH1vwI089GRyXn57xlQV+4cKGZOHFi6vbEE09YKQA3GtV1AAl8cQ7Qo9oX00RGgbiO4IIcp/HxoxxJ7vfffzfu9u6771rQJ0+eXOdPHHX+JdCyoGepKoCicV2XpJmJg4nDSos4iSuTTdJyRwOZbMoo4HYK0gDwpE4leUT3aqNHJVLueVuADoiANn78eCstzocMGVKDH0BlokoE0fZTpkyxkLKm7nYUOg7pcTMJiFl6ZLIrjk6Anxue1eRQ0EWaYfZtATqiAkg0NcCyAZ5oYMCOmjYyChAX+17iitjdcDctCWdEcPMS/2b3CnqzkvITr21ATxMHoLoaOS1uqDAFPZSk/8unI0DH1BD7O6x4k3NT0JNlU0ZIR4BehuCKpqmgF5VgtusV9Gzy8hZbQfcmyqYSUtCbEpP/SAq6f5mmpaigp0mnxDAFvUThxiStoMcIJYSXgh5Cyl15KOhdsgh6pKAHFbf+CCCsuLtyU9C7ZBHiSDV6CCnH5KGgxwilRC8FvUThpiWtoKdJx3+Ygu5fpk2luGDBAiNbUxdopEISUNALiU8vXl4k8H+QBu5UFEEjjAAAAABJRU5ErkJggg==[/img][/td][/tr][/table]
For your assigned polynomial, complete the column for the different values of x. Discuss with your group what you notice.
Sketch what you think the end behavior of your polynomial looks like using the Pen Tool, then check your work by graphing the polynomial.
[size=150][size=100]Mai is studying the function [math]p(x)=\text{-}\frac{1}{100}x^3+25,422x^2+8x+26[/math]. She makes a table of values for p with [math]x=\pm1,\pm5,\pm10,\pm20[/math] and thinks that this function has large positive output values in both directions on the [math]x[/math]-axis. [/size][/size]Do you agree with Mai? Explain your reasoning.[br]
[size=150]Consider the polynomial [math]y=2x^5-5x^4-30x^3+5x^2+88x+60[/math].[/size][br][br]Identify the degree of the polynomial.[br]
Which of the 6 terms is greatest when [math]x=0[/math]?
Which of the 6 terms is greatest when [math]x=1[/math]?
Which of the 6 terms is greatest when [math]x=3[/math]?
Which of the 6 terms is greatest when [math]x=5[/math]?
Describe the end behavior of the polynomial.[br]
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Information: IM Alg2.2.8 Lesson: End Behavior (Part 1)