Determine the x-intercept/s and the y-intercept of each given polynomial function. To obtain other points on the graph, find the value of y that corresponds to each value of x in the table. Lastly, plot the points and show the graph of the polynomial 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4+387msVatWRiMU/PjjjzYDrbLKbrPNNuazzz6zWdxff/11t2Ziyb6TQLZszt/Y3nvv7eaK07G2fv36dt4fP9Lx/vvvx7Jv+1EQkvHnhGgwaGbMmGHn43Xq1MnNFacM0dFg1M7rXJNMw4YNzQsvvGAGDx4cy/z/9ttv20cta9u2rZ1PJBqM2+OHvPvuu/YxXrdu3dxcSVtttZVp166dnX/rrbfsYzq23357s/vuu9t5ZefWvL4LygTuj981atSw7x9AuFVSxOzmK8Rhhx1m3njjDbPbbrvFhrDJFQcccICZNm2aOe200+xwB95VV11l7rrrLnug+/zzz02LFi3cktLps67KcJgbBUQHH3ywe5barFmzTMeOHe38fffdZy655BI7XxqdGFu2bGkvRkWBik4M/v8qr+nTp8eGz/nggw+SDnWTjldeecX06NHDBnA6YcYHcBp6QicqGTJkiLnsssvsfCoKwvxFxYUXXmj++c9/2vkjjzzSBmq6cfLbb7/ZstKEaVsmo+9779697QWWglINy6VtkY5c25YaduPaa691z8rmhhtuMHXq1HHPMlfW41y/fv3M0KFD7fyiRYvshVVZf+MPPvigufjii92zoht9CjozMXbs2IwuGOPpe3vccce5Z+Xz8ccf2+2g76humunmWaVKldzS4pJ9J4FsSuc3pqGAUp3P27dvHxsu7pdffokFUzfffHOx49hFF11kv8cKiFMNidasWTN7/DzppJPM888/70qLbl7uuOOOdv6BBx6w/5+n43+vXr3sfOXKlZP+rkSXiAqU5fHHHzfnnHOOnQ+ehxXkDhw40M4HTZo0yRx++OF2fsyYMeaYY46x8+nQeWHu3Ll2XtsgFR+calvoZqMEt62GidKQf8noZoeCdQ3npxuXXqptKO+9957p3LlziaEWdSzS59bnPeqoo8wWW2zhlgAIJQXLFSlXm2GLT6KjJp+eklH45knqC5Opim5W+84778Rep356mVBTV/9a9RHKpmwlpdIQGT7xk7JKvvjiiyUmJeXwf+vss8+OlavZVTJqDuZfo+G6PJ91WX1HMxGGbZmImopdc801sf9fiUeS9eVKJte2pZoG+teXdSpv8quyHueC/eXUrFHK+htX01D/uujFmm1qmSk1Q/T/R1mm8847z/1P2eH7O2pKNrSMJPtOAtmUzm8s2Pw30aRszl46zbB1PZKKv+aITxSaqgmxEnH5ZZlM9957r/sf0usOFQ3eY+so8Vcm/PCCmUzqG+wFt+3bb7/tShPT8FFaT33Pg0rr9y3aDuouk2hoK00qV+ZrAOFVsM2wRbVAEj0g2kcZMGCAre3SHcloUOFKc4dq3jzVqKXrjjvusLVGXnA+l+hu8MKFC+28ml7qzmz8pBpRb/jw4bHyVDV6wW0VvMvrt2c+bst4qqE75ZRTbC2AqOmamq2phUUmcm1bqmZcNcPlmYJN3zelRNuyLL9x/WaOPfZY96yodmvKlCnuWfrU5DnR9kl3UouQbAo270zVvDrZdxLIlnR/Y9WqVTPRgDjp5Jv8bk61a9d2c8Z2v9E1UDqTr1VOV/DvrFy50s2lx79WLcsSvZdEk1qjJFJaaz91AZGyNJlWbbaa5C9YsMB+H9Q6YJ999rE19qJm6GeddZbtWgQgpFzQXGFyuWZZQy3ovWlSjaaSHflEEdGDn1srMxraQHc0M5mCSTNKo7EA/XsubYgfT8lH/Odq3bp17PWvvPKKW6P8slUbGj3hxf6fTKdUiYA0xIdfT4moPA1HoTIl+Egn43mYtmXQ6tWrY8mkNB144IGxobgyFaZtuamU9TjXu3dv+7oqVarYxF6S6W9ctVtqHaP1o4G2HcJG88EWM7lEn081MWqJMHbsWFea2H333RfbFhrBIJlk30kgGyrqN6bzv//ebsqa5eBoIBqRoSzSqVkO1sTffffdrjQxtaLReM7RgNc+33///e3rlIW8LILb9tFHH3Wlie2yyy52vfjRB1Jtw9Lo72v8ZP96je8MIJyoWXbUN0VJpaLbxCaT6NOnj1uSGfXXVGKaTCbf1y4duoupvtTy3Xff2cdUlJBDfZP0udT3VYk9lEBJVBOUa9Q/PBo0pJx8IilR8i9fnipRie/HJD4ZiKhflKjW1ddoJxO2bRl09tlnm1dffdXOq3/WxIkTbWKUsij0bZlNfls2b97c9tGXTH7j2n6nn3667Tsn6lPo+w6qTH3Ic41q3h5++GH7HYxeHLvSxHz/afWpTJXkJ9l3EiivMP7GRL+ZZFRb6/sBv/jii/YxmWgwbftgn3HGGearr75ypenZY489YjXEkydPto+JqGZXCdTU8sknTlMtvKjGVnk8klGN9YEHHmh69uyZNBloqgSB6hftk7yqZU1Qqm04btw4c8IJJ9jzV3yfZdG13e233x7LORK8bgEQLgUdLCuzpQ9UlSjKX5jpgFtaQonNRU17fJCvTLGpqFmSkkuoCZKyE7/88ss2m7JPiDVz5kxblg1qvnTqqafaSdkly0NBQ6opuG+0PXx5qhObsnJ6wWZwwflU2zOs21J0cffMM8/YeSUdURIYH4yVRZi2Za7z2zK47TL5jSsZoRLTyNVXX20vNs8888xYc8Lrr7/eXuznEmWuVjNF0XsPfp+ClFXWX8jrYt1nIk4k2XcSKK8w/sZE50Qvvhmykhn6RHwTJkww48ePt/Px1C1KGZ7VvFjH5FS/wUT0HpR4TPR3dFM0ESVO0w1vOfroo+2jgnN/Tr/iiitiy+Ppem3q1Km2C0+ybitqAv3RRx+5Z8Xpxof2n64rFPwGpdqGCvD//e9/m9mzZ9um7Iko8ZhPdqmboABCKnqQqFCZNE+MXkDZ5E6aNM7uprDffvvFmslo6tKli1uSu6JBhX2v0RNeJHowdqXFqWm3xijVetWqVSuWxElNzn0yij333DOtJrO5JJ3mX/H8mJgNGjQots3UbD4anNhld955pystLszbcvny5cUSpfTv3z9y1113lTotXbrU/Q8lFeq2TKUszbA1/qZeoyn+e5zOb1xNC/3ru3fvXmw9Nd/2y8aMGeNKc8fkyZNjTfBbtGhhn3va76NHj7YJlLS8Zs2atjlnKsm+k0B5VPRvrCKbYesayv/f7dq1s8faadOmuaWRyOeffx6pXbu2Xa6m5RqfPBqQuqWRSDQIjLRv3z72f8Q3o073PPzNN9/Y45jW07Wdur952p4PP/ywPRdouZpeB4/7vpuKJiX8/Prrr92SojGMb7/99thxJBrIFztvBbetXx4cr/qPP/6wCQn98n/84x9uyUaptqGa5quJuJYpMdjTTz9d7Puh86ESkPrXKzFpkJKf+evdW265xZUCyEU5FSy3bNkydmDRhfOm4DNia1K/wTlz5rgluSvY32j69OmudKM1a9ZEDj300Ng6w4YNc0s20onZL1ff0TApS7Ds+yQp62U83zeqa9eurmSjsG9LvV//3jKZ1FcrmULdlqmUJVgOZor98ssvXWmR0n7jEyZMiFStWtUu1/6Iv7mhC0EFjlq+xx575OSNB/12/YWuJl30+xumvkwX8cp0X5pU30mgLDbFb6wig2XRTUf///tJ509v3LhxNtDzy3SDqmPHjvYGVvC3edppp5X4fJmch5WbQDe9/Prq892hQ4dIvXr1YmXNmze3+QyCFJCqAsOvo/ek0UMUxPsAXJP2w4wZM9yrigS3rV7j53fccUf7t4Ofu0ePHkkraFJtw1dffTUW6GvS9ttrr73s9yX4eY877rgSN/GUIdsvV99mALmr4IPloUOHxv5mtoc9qSgaJqVJkyb2PV933XWudKPg3UydcBNZsmRJrOZG+yZMtTGZBstz586NrT9+/HhXutE///lPu0wX5qqJDQr7tjz//PNj7z+TKVmwXMjbMpWyBMu9evWyr0mUJCjVb1wJcDREipZpW8UH2t6NN95o19E0atQoV5pbNJxMootRtVDQBaxP9pNKad9JIFOb6jdW0cGyhltr27Zt7G9o0k2AIFUQ9OzZM3ZjIDgpsFTteqIbAZmehz/88EOb1M+3PvKTgs0zzjjDbotEdCzUdZqGJAy+TpPe8wknnGCPAfGC2/a2226zCcR8yyU/6Rh7xx132L+RTGnbUEP9HXDAAcWW+0nvWe890f9PsAyERyX9E/2xFqxogGyGDRtmoidGm7xCfSjD4NZbb7VDW7Vu3dpET+SuFIloqCQN57DLLruYTz75JDakgxcN6myCJfUtevrpp21fYSTGtswO9a3bdtttbWIY9SdXP8h4hfQb//rrr+33acWKFTYxTseOHdPur1/adxIodEoUuHTpUtvnOFliRx2LogGtHeqoevXqNmFjmzZtUuYCKYtoEGuHePr999/tb7xDhw72+isdyuGgRFnqP6zP0b59+6SvVX9r3688Giyb/v372+STSi6p85POU0oaqM+ajtK24aJFi+zwlfpcGr7O//8A8oANmQuU7nSq6bU2g+48homahPkauClTprhSxNMd8VatWtntNGLECFda0k033WTXYXiH5NiW2fPUU0/ZbaQhs5LVavAbL12630kAhSW+ZhkAyqpgb8GrZkcD7K9fv97eQe3Xr59bEg66m3rJJZfY+fvuu88+oqRXXnnF1lrttNNOCWvvPG1LbdM333zT3vVGSWzL7HnggQfs44ABA5Jm3uc3Xrp0v5MAAABlUVDNsDUkzaRJk+wwNSNHjoyN3afxPjt37mznw2TJkiV2iBmNQ6jhC3bffXe3BN6+++5r9/OoUaPMiSee6EoTu/POO+3QIBo+YvTo0a4UHtsyO1577TXTrVs3O8TRrFmzig1PEo/feGqZfCcBFI5EzbDDTpU86upUHqtXry7X0JFqlp+sKX82qIn8hg0b3LPM6f2VJ6yp6M9X3n2o1+vz1apVy5VkTmOfl+f1+b6PElKwXCh88qHgNHDgQLc0nF555RX7OY4++mhXAk8ZOLVtlIkyHWoOq2y80R9iqUPVFBq2ZXao2bCyzSqpTbrbhd94Ypl+JwEUjnxshq1Eav4zlXXyXQ/LOun1FSmYIb0sU65/vmzsw/JO8ckEM5Xv+yiRgqpZjgbL5uKLL7Z3NDRAvAajv+CCC9zS8FJz8uHDh9ta88MOO8yVFjYl8lAtnGrmlPTH32EujRIp7bXXXjbpyNSpU11pYWNbZs+TTz5pzj77bHPDDTeYG2+80ZWWjt94cWX9TgIoDErG1b17dzuv67x8SDb5r3/9q9xdcqZNm2b2339/9yxzagn13//+1z3LPrW6WrZsmXuWObXW0jVHWVX05yvvPlQCOSW4U6K5surTp4/p1auXe5a5fN9HiRRcNuyVK1faC6369eu7kvDT51Emxi233DKvPld5rF271ixcuNA2N2nQoIErTY+ab6mpiw5GZNZlW2aTMs3qRNekSZOkfZUT4TdeXHm+kwAAAOkquGAZAAAAAIDSUNUDAAAAAEAcgmUAAAAAAOIQLAMAAAAAEIdgGQAAAACAOATLAAAAAADEIVgGAADYxDQWcMeOHe2kcdQrggY8Wbx4sXuGsmAbAoWNYBkAAGAT03jhs2bNstNPP/3kSrNn9uzZ5m9/+5sZNWqUK0Gm2IYACJYBAADyiILvDh06mGnTprkSZIptCEAIlgEAADaxrbbaynz11Vd26tu3ryvNjjVr1pj169e7ZygLtiEAIVgGAADYxCpXrmxatWplpwYNGrhSAEAuqRRR5gIAAAAUs2zZMlu7WL16dbPFFlu40sT++OMPs2HDBlO1alWz5ZZbutLkdPmlJF9Sq1YtU6NGDTsvq1atMqtXrzbVqlUztWvXtmW//PKLmT59uk02tfXWW5v99tvPbLPNNnZZkP7P+fPnmz333NM+v/POO825555rKlWqZOrVq2fL4v3888/m/fffN7/++qtdR69t2bKlW1pS8L3XqVPHVKlSxcycOdN89tln9nX77ruv/XvxfvjhBzNnzhz79/S69u3bp/w7nvbBe++9Z+bNm2f7ejdr1sx+/po1a7o1ikv0/rRN33rrLfu3GzdubNq1a2e22247u068dLeh3+dSv359+wggzyhYBgAAQHH777+/KhQihx56qCtJLBrIRaKBlF138ODBrjS1aNBr19d08803u9Iiffv2teVdunSJRAP2SDRQi0QD59j6mqIBYKRXr16RJUuWuFcVUXlwveD68T7++OPI4YcfHnvvwalTp06RadOmuTWL+/7772PrffDBB5E+ffoUe200CI5Eg0i3diQya9Ys+1kS/Z0DDjgg8tFHH7k1i1u3bl3krrvuimy99dYlXle7du3IgAEDIitXrnRrbxTctlOnTo08/vjjkbp16xZ7vbbHqaeeGlm4cKF71UbpbsPmzZvHlkWDcVcKIJ/QDBsAACCBtm3b2scvv/zSPiZz+eWX29rMHXbYwfzjH/9wpeWn2uVu3bqZxx57zNauqsm2/obo+YgRI0zPnj3tc0+1zcFm3aqZVk10fC30hAkTzD777GMmTpxo37tqeDt37mxrU1WDqprcgw8+2Dz33HPuFYk9+eSTZtiwYe5ZkdatW8dqlkePHm32339/+/f0d/QZDjvssFiN8ttvv21riVWzHaTPftRRR5krr7zS1nir9l3/zyGHHGL7e69YscLcdttt5u9//7ut4U3moYceMr179zbLly+3rz3jjDPMXnvtZbffM888Y//P7777zq1dJN1tCKAAKGIGAABAcUOHDrW1hqoRjQZbrrS4MWPGxGoXo8GXKy1dOjXLfooGe5EFCxa4pUU1tdFgM7Y8GvC6JUW+/fbb2LIHHnjAlW40d+7cSL169ezybbfdNhINZN2SIp988kmkXbt2dnmNGjUis2fPdkuKBGuWVdvaqFGjyIMPPhh57bXXIoMGDYq8+eabdr158+bZGmCtp3Vef/11W+5FA+lYjXmbNm0i0QDWLYlELr744tjfOOussyK//fabWxKJrFmzJnLrrbfGaqpPPvlkt6RIcNtqatiwYWT69OluaRHVNvsa5G7durnSjUrbhqIWB3rfmqLBvSsFkE8IlgEAABKYNGlSLGBSc+N4a9eujey88852uZotB5selybdYPn44493pcVNnjw5ts6VV17pSouUFuip+baWKVhU4J2ImifXqVPHrtezZ09XWiQYLCtgff/9992S4s4888zY35kxY4YrLU5Br/+/fND+9ddfRypXrmzLjjnmGFuWyFVXXRV77f/+9z9XWnzb6v2pKXYi1157bWy9KVOmuNIi6QTLAPIfzbABAAAS8M2wJVFT7IcffjhWPmTIkIRJrcrroosucnPFHXjggTbxmCxatMg+pkOJrkaNGmXnjzvuOLP33nvb+XiNGjUyZ511lp0fN26cWbJkiZ2P16lTJ9OxY0f3bCM1c9brpEuXLna9RNRE+thjjzUDBw60f1OeeuqpWOKsW265xT4mEg2WY9t85MiR9jGe/vYBBxzgnhXXr1+/2DYcM2aMfQSAIIJlAACABJQt2fdd/eKLL+yjp4zJgwYNsvMnnnii7XdbEZIFs1WqVIllYNaYwOlS32D1B5aDDjrIPibz17/+1T4qcJ0xY4adj5csCP70009tX2NRv+JkGjZsaF544QUzePBg25dY1I9ZtCx4wyKe+hGrD7S8++679jGe+nwno77PyootypQNAPEIlgEAAJJIluRLwZ2Gc9KQT3fccYctU+2rAr5kk6+pTZcCYg19lIyGlhJfC5sODYnkXXzxxXaoq2TT6aef7tYsGvYpEQ3DlMiCBQvcnDE77rijm0uPf4+LFy9O+L6C01dffWXXTfb+2rRp4+YSa968uX3UkFIAEI9gGQAAIIlEwbKCufvvv9/OX3rppaZFixZ2ft26dWb27NlJJx/YpUvBYLYFM0cryFZz6WRTMAhPlnE62fjTv/32m5tLvk4ywb+V6H0FJy/Z+yttzGs/VnOqjNoAChfBMgAAQBK77babffz222/towwYMMA2ZVYz4WuuucaVFtX0aiiiZJNv8rs5aRgkT8NC6XOlM51zzjnuVekJ/p2VK1e6ufT416oZeKL3kmj6+OOP7WviqY92KsuWLbOP2pcAEI9gGQAAIAlfs6wmwRqrd+bMmeb555+3ZTfddJOpW7eunZd69erZ/rbJJo35u7k1a9bMzRX1u1ateDpT8HOmo2nTpm7OmLlz57q5xIYPH24D9zlz5tjn/j2qBj/Re0k0+fGn45X2t32LgWSvB1DYCJYBAACS8DXLMm/ePHP55Zdr2E0bRPfp08ctyS2psnKrtlZ9oeXFF1+0j8k88sgj5uCDDzZnnHFGxk3I99hjj1gN8eTJk+1jIqrZPf/8880pp5wSu5mgWnhRv+fp06fb+URUY62s4D179jT33HOPKy3u9ddfd3MlKZD2idu6du1qH72KyGwOIHwIlgEAAJJQRmyfdVrDQ/msyQrOfNCZa4J9neObISthmIaMkgkTJpjx48fb+XhKXnbjjTeaKVOmmJdfftluh0zoPZx00kl2Xn9HWbgTefDBB83atWvt/NFHH20fFZz7YPWKK66ILY+nfTB16lQzduxY8+eff7rS4l566SXz0UcfuWfFabgq3fjQfjzhhBNcaZFU2xBA4SBYBgAASME3xVZzYdHYvfE1kbnED3clTz/9tG0C/s4777gSY4e88rW+xx9/vHn88cdtcjJPweXhhx9uFi5caJ9fd911xfogp0v9uRWcKxHXkUceaSZNmuSWFCUXU831DTfcYJ+rNrlz5852Xtvb95GeNm2aOeKII8w333xjn4v6iysDuX+tAnll9k5EgbaGj1LQ7/nabD/etJK0tW7d2s57pW1D+ctf/mKzgWvyw3EByDMRAAAAJHXuuedGdMmkqUqVKpE5c+a4JWW3ePHi2P958803u9Iiffv2teU1atRwJYk1bdrUrnfSSSe5ko323HPP2P/vp++//94tjUTGjRsX2WKLLWLL6tevH+nYsWOkRYsWkUqVKsXKTzvttEg0sHWvKqL/xy8fMmSIK01s7NixkZo1a8bWb9asWaRDhw6RevXqxcqaN28emT9/vntFkZUrV0a6dOkSW0fvqU2bNpH27dtHogF4rDwa1EZmzJjhXlUkuG31Gj+/44472r8d/Nw9evSIrFixwr2yuNK2od63L1+1apUrBZBPqFkGAABIIdhvuXfv3sWe56qRI0fGasS9Tz/91M0ZEw0SzXvvvWf7+6rJscaIVvIy9cuOXh/asZEfffRRM2LEiHL131WNsvodq6a6cuXKdjzkWbNm2eRiyh6uJtf6u/EJtmrVqmVeeeUVM3ToULP99tvb96T+xR988IGtGdZ7VtNp/V+dOnVyryrpzDPPNE888YTZeuutbdZsra++zk2aNLG102qmnWxoq9K2IYD8V0kRs5sHAABAnPPOO88MGzbMZoRWoqtGjRq5Jbnvu+++s4GpmiorYExEYwx/+OGH5tdffzXVq1c3LVu2NG3atMl6kitlFNcQT7///rvZaqutTIcOHdLOsv3ZZ5/ZQF79h/U52rdvn/S16m/th4K67bbbTP/+/c2aNWvMjBkz7PjPzZs3t0GwPms60tmGAPITwTIAAEASs2fPtkGd+t36wAu5LVGwDABlQTNsAACABJRhWYmmFCirtrVfv35uCQCgEFCzDAAA4Kj/rLI216tXz/ZZ9eP8Tpw4MZatGbktn2uW1YxcmcTLSlm7a9So4Z6VjTKjq085UAgIlgEAAJyHHnrI9O3b1z0rovF4Bw8e7J4h1+VzsKwxv9V/uqw0prRaSpTHzTffbK699lr3DMhvBMsAAADOP//5Tztmry6PmjVrZgPlCy64wC1FGCiY7N69u53Xvjv11FPtfD7QmNHKBl5WSq4WHEO6LPr06WN69erlngH5jWAZAAAgQEMLKXuyavEAAIWLYBkAAAAAgDhkwwYAAAAAIA7BMgAAAAAAcQiWAQAAAACIQ7AMAAAAAEAcgmUAAAAAAOIQLAMAAAAAEIdgGQAAAACAOATLAAAAAADEIVgGAAAAACAOwTIAAAAAAHEIlgEAAAAAiEOwDAAAAABAHIJlAAAAAADiECwDAAAAABCHYBkAAAAAgDgEywAAAAAAxCFYBgAAAAAgDsEyAAAAAABxCJYBAAAAAIhDsAwAAAAAQByCZQAAAAAA4hAsAwAAAAAQh2AZAAAAAIA4BMsAAAAAAMQhWAYAAAAAIA7BMgAAAAAAcQiWAQAAAACIQ7AMAAAAAEAcgmUAAAAAAOIQLAMAAAAAEIdgGQAAAACAOATLAAAAAADEqRSJcvPAZlepUiU3BwAAgFxE+IBCQc0yAAAAAABxqFlGTvE1y/n2tczXz1VI2Ifhxz4MN/Zf+LEPw499iEJDzTIAAAAAAHEIlgEAAAAAiEOwDAAAAABAHIJlAAAAAADiECwDAAAAWbJ69WrTo0cP07FjR/Pcc8+5UgBhRLAMAAAAZMmAAQPMK6+8YmbNmmUWLlzoSgGEEcEyAAAAkAVvvPGGGTp0qHsGIOwYZxk5JV/H7yuEcQk/+OAD88ILL7hnqQ0aNMhUrhyue3WFMrbkjz/+aB599FEzZcoUs2DBAlO/fn3Ttm1bc8opp5jOnTu7tcIpH/fhmjVrzIgRI8xLL71k5s6da6pVq2Z22mknc/zxx5v/9//+n6lSpYpbM/zycf/ps7z66qtmzJgxZvbs2WbJkiWmTp06pk2bNubII480J554oqlatapbO/zy/Tj6+++/mz322MMeR70hQ4aYyy67zD0Lv0I5FwIewTJySr4ehAvh5HLNNdeYW2+91T1Lbe3ataG7ACyEffjss8+aPn36mBUrVriS4rp3724Ds6222sqVhEu+7cOffvrJHHHEETbISmS//fYzL774omnUqJErCbd8239qnqsbGv/9739dSUnt2rWzgXTLli1dSbjl+3H0pJNOMqNHj7Y3GD/99FNbRrAMhBvNsAFkhWqWRUFwvXr1Uk7+ZIvc8dprr5nTTz/dBsqqTR48eLCZMGGCef75582xxx5r11EfPNVYrl+/3j7H5vPnn3+abt262UBZrTQuvPBCM378ePPyyy/bVgDyzjvv2H23bt06+xy5Qy0CunbtGguUu3TpYm9ETZ482SaEOvroo235Rx99ZA477DDz66+/2ufIXdp/CpTr1q1rhg0b5koBhF4EyCH6Subj1zJfP1dQkyZN7Gc899xzXUl+yed9GA1+IzvttJP9fPXq1YvMnTvXLdmof//+sW0QvSB0peGST/vw1ltvjX2ekSNHutKNhg4dGlv+2GOPudJw858nH9x7772xz3Pddde50uLuvPPO2DqXXXaZKw03/3nyzbfffhuJBsn2sz311FOR77//PvZZhwwZ4tbKD/m6D4FkqFlGwVCNmfqDaYp+911pSX6d0tbDRosWLTI///yzne/QoYN9RHioNkv9XWXgwIFmxx13tPNBN954o6levbqd/9e//mUfsXmopvj++++38wcccIA57bTT7HzQpZdeavbZZx87f9ddd9lH5I4nn3zSPrZq1cr+thK58sorzZ577mnnGX4od23YsMG2yvnjjz/McccdZ3r16uWWFAa1NOJaCfmMYBkF48EHHzQNGjSwk/pmJqKLSr/OxRdfTHPhNPkm2KJxJRE+GhO0efPmNqlQIjVq1DAtWrSw8z/88IN9xOYxffp0m3xNTj31VPuYyBlnnGEfv/zyS9ucF7lBN27nzJlj59UUO1Wyw4MOOsg+qn+zgjHknttvv928/fbbpkmTJjY5YiFRoKzvpvKQAPmKYBkF46KLLjINGza08zq5xd8JVd8xjY0oqpF57LHH7DxK9+GHH9pH1TwqEyjCRX0ix40bZ+bNm2d23XVXV1qc+lj61gNNmza1j9g8FCx7PphKRLXOXqokUti0dONpxowZNoP52Wef7UoTW7ZsmZsrOr4it2gcZd8y4IknnjBbb721nS8EPlBWSxedH4B8RbCMglG7dm1z1VVX2Xnd1VeyIk/DPCiLpQ7+zZo1sxlka9as6ZaiND5YVqCsWpMHHnjANkc78MADzTHHHGPuvPPOWKCFcLrllltiF+4+gRQ2j88//9w+quWLholKJtic/osvvnBz2NyUBPEvf/mL6dmzp2nfvr0rLUkBiJLsiYaS4pyUW1auXGlbdqhW9fzzz7cJ9wqJD5SFmmXkM4JlFJS+ffuaxo0b2/l77rnHPuogf8IJJ9h+t1tssYUZO3ZsbB2kxwfLGmNSF+iXXHKJHe5k6tSptvbk6quvNq1bt6a2PkSUbVn9mLX/VPN8880323I17dUNEGw+/saTWsqoljIZ3SBU9nnhZlX43HfffXZ4MCm0frBhcPnll9ubUDq3+euJQhLMsk/NMvIZwTIKSq1atWzgJmqWqL62Gv/w3XfftbU0Tz31VMo7/ShJd9fVJ1IUXKlm+aijjjLXXnut3db777+/XaZyjeGrvuPIfdddd50d21WB8RtvvGHLNJzU8OHD7Tw2n6VLl9pHBcOl0TFP6O8aLrrRqGOobL/99jZhG3KHWqY98sgjtpXAyJEj7Y32QqDWd4lQs4x8RrCMgqPmUtttt52dP/nkk81DDz1k59XvSGPIIjNKHKRsoLLLLruYjz/+2I71qppIn/hEtfX+YqJfv37m66+/tvPIXeq/vNVWW8X6+Yv2qcbzXb16tSvB5uAvTNNpluvX4WI2PGbOnGkT7am2Tv2UlX0+nRsj2DSWL19uzjnnHDt/8MEH21YbaoETnHzzedE50Zf/8ssvrjR8fB/lRHQNkCyQBsKuUoR878ghPvt0RX8tVbupbNfeiSeeaEaNGuWeZd+m+lybg4bYUsKhb7/91vbZ8hmT4ylLqG5UiLa9H/omLPJ5Hyaimsi6devaeQXOGlLKD1/TuXNn89prr6XM4puL8mUf/u1vf7M3odT807fqSEa1kspefsghh9ghwsKsEH6DavGkvsz6/anWUuelY4891i0Nv3zYhzoeJhpeLx1vvvmmDbDDJpjMS6MmyPz58+2jpxurviULkE8IlpFTNtWJVM2v9957bztfv3592y+sIg/yYbtAUACc6oSupup+nNB0qWZLmUKVJKpt27bmk08+cUvCgX1YlNjLB8xqephofN9cli/Blm5K6WaFAuHvvvvOlSamC1jVZh1xxBHFkhqGUb7sv2T0m+rdu7etUVaLgNGjRycdyi2s8mEfFlqwHAyUJVmwrGspf4MVyCc0w0bB0UE/eKdeQcWUKVPcM4hOirNnz046ffXVV27N9FWrVi02rBTj9Fa8itiHt956q5szNmM8Ng+NAy9KqJeKmkb6/s3B5vTILQoc1T9ZSbwUKKv7w6RJk/IuUM4Xaj2lm7+pJgXUnpJ/+fJUQ73lovhAORWSfCFfESyjoKxatcomn9KJTDXJGiZKbrjhBvuIIgpslZgr2dSuXTu3ZmZSZe5FdlXEPtRFYqNGjex8fK0CNh0NIyTqO6mbfcksWLDAXqBLsu4R2LwUYKjFhpLnSatWrWzCyeAY2cg9aiKfaqpSpYpbM3qhXblyrNzXrIdBJoGy+GMNkG9oho2cUpFNtPR/aoioF154wT5/5plnbK2LEhbJuHHjTI8ePex8tuVz88ERI0bYoaN00a6hoYIXCfGUXVkZs3fffXeb9CRM8nkfar+pP6sSd2nIr1RU66UaTQXc6jcbJvmyD3UM88kI1cc1WW3V+PHjTffu3e289mvYh/zKt9+gAuWjjz7avPrqq/a5xqXXflJ3lXyVz8fRILWeUjcJGTJkiB11I0xSBcrJmmGLPrPfx0C+oGYZBeOqq66KBcoa0kh3888888xY88Trr78+70/gFUFBli4G1P91xowZrrSkTz/91AbKEsYEJ/lM2Xeff/5527Ra44YmM2fOnFjTX93wwOZx6KGH2pYDEsy6G88HYarR4jeXe84+++zYPtLNj4kTJ+Z1oIxwyLRGOYjaZeQjgmUUhGHDhpm7777bzqumxfe9VFNsf8dXSb80tAMyo5oRzzcljKe+k347q0naeeedZ+eRG4J9+DU8VCK6keTHKBfdbMLmoT7LSvIlGut10aJFdj5Iib/8mNjKruz7OSM3PP7447Z1kxx++OH2ZhXdVLC5lSdQFvotIx/RDBs5pSKaaOluvQJkHfw1DrBqP4MZG5WdWc2KVGOmBFRKfpTtZkT53PRMgfA+++xj3n//fftc40/qxoQyY4oyjV9wwQV2rGXROMv33nuvnQ+TfG8+qKGF1KRXLrroIntDqU6dOva5xhHVcF++ZcZJJ51kL+7DJp/2oWr5ldFcx7W99trLZk7WUFKiVhyqqfzss89sDfT//ve/vGgJkC/7b8WKFbYPuR9zt3///mnVKPfp0yf02Ybz/Tgaduqa5pMCJpOqGbbOGdyYQ74hWEZOyfaJVBeU6lupMSsVvL333nuxC8qgm266ydx44412XuNaatzlbMr3CwTVYqmZp8ZalurVq9sbE/rc2ge6Wy3qM66hh1L1a85V+b4PVZugvq++GbaGrtE+1OcN7sO///3v9sbHFltsYZ+HSb7tw/vuu69Yiw3d7NNnUz4A/xlV85wvLTnyZf8pR4AC30zp+Br2RG35fhwNOyVBXbx4sXuWWKpgWa0jtt12W/cMyA8Ey8gp+XoiLYQLBNXMDxw40Dz11FP2hBu0ww472GW6QPTbImwKYR+qlYX20xNPPFFiHzZu3NhceeWV5tJLLw3lzQ7Jx32ohFBXXHFF7EaVt9NOO9kha4LdJMIuX/afWtroJkamCJZR0XRT9Mcff3TPEksVLOumnR9lBMgXBMvIKfl6Ii2kCwQFWbNmzbLD1ugus06sZR1qKpcU0j5cuXKlbVavJvTahzvuuKNt6uu3QVjl8z5U9xEFU7rYVdZ5/eZ04ZpPCuk3mK/Yh7lPwbJvSZRIqmBZmjZtGtobqkAiBMvIKfl6IuUCIfzYh+HHPgw39l/4sQ9zn/rS64ZpMqUFyxphRMlTgXxBNmwAAAAANudIeTB8FPINwTIAAACAcgfLDB+FfEOwDAAAAICaZSAOwTIAAAAAmxiwatWq7lnmFCzTJx35hGAZAAAAgEXtMrARwTIAAAAAS0MGlgf9lpFPGDoKOcUPKwEAAIDclGzoKKlTp45p0KCBewaEGzXLAAAAALKCZtjIJ9QsI6f4muV8+1rm6+cqJOzD8GMfhhv7L/zYh+Hx888/Jwx6mzdvbh9T1SwrSVizZs3cMyDcqFkGAAAAEFOeJF8bNmww69evd8+AcCNYBgAAABBDki+gCMEyAAAAgBiGjwKKECwDAAAAiKlWrVqsj3lZULOMfEGwDAAAACBGgbIC5rKiZhn5gmAZAAAAQDHlaYqtYJms58gHBMsAAAAAiqHfMkCwDAAAACAOwTJAsAwAAAAgjoJlknyh0BEsAwAAACihvP2WgbAjWAYAAABQQnmCZWqWkQ8IlgEAAACUUJ5gecOGDWb9+vXuGRBOBMsAAAAASihvki9qlxF2BMsAAAAASqhWrZqpXLns4QL9lhF2BMsoGMuWLTNLliwxK1eudCXJ/fHHH3bd5cuXuxIAAIDCQ79lFDKCZRSMbt26mQYNGpgjjzzSlST2/vvvm/r169t177//flcKAABQeMiIjUJGsIyC0bZtW/v45Zdf2sdkLr/8chOJRMwOO+xg/vGPf7hSAACAwlPeYFnXVEBYESyjYOy222728ccffzQrVqyw8/FefPFFM3XqVDt/2223mZo1a9p5AACAQlTeJF/ULiPMCJZRMHywrDucX331lZ0PWrdunenfv7+d79Spkzn55JPtPAAAQKGqWrUqSb5QsAiWUTB8M2xJ1BT74YcfjpUPGTLEVKpUyc4DAAAUMpJ8oVARLKNgbLfddjZpl3zxxRf20Vu6dKkZNGiQnT/xxBPNfvvtZ+cBAAAKXY0aNdxc5qhZRpgRLKOgJEvyNXjwYPPLL7/Yk8Edd9zhSgEAAEDNMgoVwTIKSqJgef78+bEhoi699FLTokULOw8AAIDyBcsbNmww69evd8+AcCFYRkHxSb6+/fZb+ygDBgwwq1evNg0bNjTXXHONKwUAAIBUqVLFTmVF7TLCimAZBcXXLC9evNgsX77czJw50zz//PO27KabbjJ169a18wAAANiovOMtA2FEsIyC4muWZd68eebyyy+3Q0kpiO7Tp49bAgAAgCD6LaMQESyjoCgjdv369e28hod666237Pw999xTruZFAAAA+YyM2ChEBMsoOL4p9vDhw+1jly5dTNeuXe08AAAASipvM2y15APChmAZBSfYFFu1yapVBgAAQHKVK5cvbKB2GWFEsIyCEwyWe/fuXew5AAAAso9gGWFEsIyC8+mnn9pHZb4eNGiQnQcAAEDFIckXwohgGQVl9uzZ5oknnrDzGl+5UaNGdh4AAAAVh5plhBHBMgrGn3/+ac455xyzfv1607JlS9OvXz+3BAAAABWJmmWEUaUIqemQQypVqmQfs/W1nDlzppk0aZKpV6+eGTlypJk+fbotnzhxouncubOd3xSy/bmw6bEPw499GG7sv/BjH4af34fz58+3j5lq2rQpQ3UiVAiWkVOyfSJ96KGHTN++fd2zIgMHDjSDBw92zzYNLhDCj30YfuzDcGP/hR/7MPz8PixrsKzubzVr1nTPgNxHM2zkNZ2Q/YG9WbNmNnje1IEyAAAAaIqN8KFmGTmlIu46r1y50h6c69ev70o2Pe6mhx/7MPzYh+HG/gs/9mH4+X1Y1prl2rVrm6233to9A3IfwTJyij8IAwAAIDd9//33ZsOGDe5Z+qpVq2aaNGningG5j2bYAAAAANJWo0YNN5cZDR9FPR3ChJplAAAAIE0agvK3334zVatWtUFj9erV7Xwh+eOPP8ySJUvcs8w0btzYbjMgDAiWAQAAgDQoUF64cKFZt26dKylSuXJlGwD64FlTPg+RtHr1arsdykJ9ltV3GQgDgmUAAACgFMkC5WRU2+wDZx9E50tuFoUPP/zwQ5maVNepU8c0aNDAPQNyG8EyAAAAkEKmgXIySnAVDJ71PKwBtLaHapgzpXGWNd4yEAYEywAAAEAS2QqUE1Gg7Guf/aQAOgzUZ1l9lzOlJuvNmjVzz4DcRrAMAAAAJFCRgXIyvv+zJl8DnYv9n1etWmUWL17snmWmadOmed2nG/mDYBkAAACIszkC5WQUWAaDZ00KqjcnjbOsfstloWbYao4N5DqCZQAAACAglwLlZHz/Zx9Eb47+zwsWLDBr1qxxz9JXv359U7duXfcMyF0EywAAAIAThkA5EQXKiRKIVaTff//dLFu2zD1Ln4aO0hBSQK4jWAYAAACiwhooJ+MTiCl49lM2m2+Xtd+ygvgmTZq4Z0DuIlgGAABAwcu3QDkZBarB4FnjQZdVWfstK4hXRuxN3WwcyBTBMgAAAApaoQTKiSh5WDB4zrTvc1n7LTdu3NjWegO5jGAZAAAABauQA+VEFCj7wLlWrVqlBrRlHW9ZfZbVdxnIZQTLAAAAKEgEyqVTH2cfOGu4p/hm23/++adZtGiRe5a+OnXqmAYNGrhnQG4iWAYAAEBBWrlypZ3UjJiAOT1qtu0DZwXRCqbVbznTkEKv13jLQC4jWAYAAEDBU7IqBc3BiQC6dGqmre2k7ZcJBdlK8gXkMoJlAAAAIAEC6IrVtGlTW1MN5CqCZQAAACBNBNDZo2bYao4N5CqCZQAAAKAcCKDLpn79+qZu3bruGZB7CJYBAACALFMAvXbt2mIBtJ5jIyUKa9iwoXsG5J7K7rGg/Oc//zEdO3a0k+YztXTp0tjrhw8f7kqzpyzp97Ph+uuvt5+pa9eurqSIMhz6zztmzBhXCiBTv/76a+y39PTTT7tSIDP77LOP/Q7de++9riQ/hfVzVvQ1AsLDD7mkIZI0pnCTJk1sQqttt93WDpmkMYarVavm1i5Mq1atMr///rt7BuQaY/4/djNcB95arjgAAAAASUVORK5CYII=[/img]