IM Alg1.5.5 Practice: Representing Exponential Decay

[size=150]A population [math]p[/math] of migrating butterflies satisfies the equation [math]p=100,000\cdot\left(\frac{4}{5}\right)^w[/math] where [math]w[/math] is the number of weeks since they began their migration.[br][br][size=100]Complete the table with the population after different numbers of weeks.[/size][/size]
Graph the butterfly population. Think carefully about how to choose a scale for the axes.
What is the vertical intercept of the graph? What does it tell you about the butterfly population?
About when does the butterfly population reach 50,000?
The graph shows the amount of a chemical in a water sample. It is decreasing exponentially.
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0HY+UIFi5EeFiM9LMZyenKIxKjBYqSHxUgPi7GcQjEuZeJ/lA6TYDF2Rpzk3cutoixGeliM5RSK0XVd1Gq1rg5eiOMYY2Nj0vdT9xIWY2csy4KqqizGHsBipOeEhtKu60JVVRiGgfHxcczOzmYWXRqNBgzDSCsHco+xNwy6GMMwhKqqcBynpzV+WIz0sBjL6TjHmCRJetioqqqZRRexOjxqh9QCLMZOiP93UfKgV7AY6WExlsOLLwWwGIsRp4cnSVJaXnWpsBjpYTGWw2IsgMVYjKZp6TZFsQDTK1iM9LAYy2ExFsBibMf3/b7msbIY6WExlsNiLIDFmCVJElQqFbiuizAM07aYioULwWKkh8VYDouxABZjFtd1Cw/47WXZCxYjPSzGcgrF+Mwzz3Tdjh8/3peblwmL8SviOEalUinsGVqWxWI8QViM9CxJjB988EHHvdH5dvDgwb79ALJgMX5FGIaZo9vyz/XqzEgWIz0sxnJ4KF0Ai5EeFiM9LMZyWIwFLEcxxnGMzZs3Y3p6WkrSPouRHhZjOV2JMQgCNBqNwsY7X3qLDDF6npeZHlm5ciV5WQUWIz0sxnIWFKPYM22aJjRNg67r6RmNo7ZHWrCcxCgStfNt1apVZPcAsBhlwGIsp6uDasXJ1yKPDSiv0TwKLCcxiq19RY1yNMBipIfFWE5XYhTHj7mum1mhLCpPOgqwGOcb5WiAxUgPi7GcRRXDCoIgrcAHsBj7gYw5xnPPPTcjxJNOOgkbNmwgvQcWIz0sxnIWFKPv+2kvUdRlHh8fx/j4OFRV5cWXHiNDjHEc45JLLknFuGHDBvK5YxYjPSzGchadriOq7o1qbxFYfmIU7Nu3b2DzGKMoahvq12q1nvxhZjHSM3JiXA4sVzEOcoK37/vQNC39Oo5j6LoOy7JOODaLkZ6hF6Nt26X1mE3THIl0nTfffBMvv/xy2q677jpceOGF2LZtW9qCIMD+/fv73h588EE8+OCDJLHybevWrdi5c6eU2NPT03jooYdKn7/66qtx+eWXZx775S9/CcMwTjj21NQU5ubmpPzck5OT2LNnj5TYd911Fx5//HEpse+44w6EYSgl9r333nviYtR1vXTIPCrD6U8++QTvv/9+2m688UZcdtllePXVV9P22muv4Z133ul7e/LJJ/Hkk0+SxMq3MAzx/PPPS4n917/+FS+99FLp85deeiluv/329OtXX30Va9euxS233HLCsefm5nDw4EEpP/euXbtw+PBhKbF37NiBI0eOSIm9ZcsWvPnmm9JisxiXAA+l6VloKK0oCur1OhqNBur1OnRdh+M4PYm9fz8PpakZiaF0vV5ve1xMho/CUDoPi5GeTmIUuZau68J1XTiOkymzcKKwGOkZejGKFJ1qtYrx8XE0Gg2MjY1BUZTS46iGHRYjPZ3E6Hle2y6rIAhQqVR6EpvFSM/QixH4qoyqbdvpqc2jOIQWsBjp6SRG27bbhs29rFLIYqRnJMS43GAx0tNJjLqutw2bbdvu2V59FiM9QynGOI7TxNkoitBsNksbzzH2FhZjliRJ2hZeqtUqNE1L9/CfKCxGeoZSjK1/jcURY2VtFIfULEZ6ysQYx3G66CIOMen1Z47FSM9QihHASPYEu4XFSA/vlaaHxVgOzzEWwGKkJY5j/O53v8OmTZuk/EFmMdIzEmKM4xiTk5Nc2oCA5SZG3/fTo84URcHXvva1ns0ddguLkZ6hF2MQBFAUJS1pkG/UH2IKWIw0lJVVWL16Ndk9AIsTY+tiZC86BSxGenp2gveoJnKXwWKkodPp4ZR0I8YoilCr1aAoCkzThK7rPSn/wGKkpydi1DRtJFeeO8FipGFYxBhFESqVCmzbzsyBco9x6Qy9GG3b5h4jIctJjABwwQUXtJVV6NXhEN2ykBh7de5jESxGenq2V9o0zTTBlhdf+styE2OSJLj66qtx2mmnQVVVuK5LGh/oLEYxx96v1XIWIz09XXzRNI0XXwhYbmIUDGoeo23bfestAixGGfDiyxJhMdIzqGIUh6b0CxYjPbz4skRYjPSwGOlhMZbT1eJLrw4EHRZYjPQMshj7uRjEYqSnJ2IMwzA9pHZiYoJP1+kzLEZ6OonR8zxUKpW+zaWzGOnpiRgdxylcdOHFl/7AYqRnoXQdy7JQqVQwNjaG8fFx1Gq1ng2vWYz08CESS4TFSM8gixGYf2/E0We+7/dspMRipIfFuERYjPQMuhj7BYuRnp6J0fM8VKvVtFIbML8dqp/5XTJhMdIjS4xxHOO2226D7/tSNiuwGOnpiRg9z0tLVdq2nZlb6eXx8t2SJAmazWbb42EYFj6+0HNFsBjpkSFGceSZaKtWrUIQBKT3wGKkp2cJ3uLDIuZYWp+jznG0LCtzyECSJDAMA5ZlpSUZxPxPp+c6wWKkh1qMZUeeffvb3ya7B4DFKIOeiFHX9bRXmBejruukYvR9H47jZMToeV4mz8xxnHSnju/7meG+KNa+ECxGeqjF6HneQJzsw2Kkp2cJ3vV6HUBWjL7vQ1XVE7/LLonjOO3xtX54873WMAxhmiaA+d5l69BIXCPPp59+imPHjqXtxhtvxPr16/H666+nLY5jvPfee31vTz/9NJ5++mmSWPn2t7/9DS+88IKU2E888QQOHDhAFu+Pf/xjqRgpf+6HH34Yr7/+upT3PAgCss91vm3btg3/+te/pMTesmVLb07X0XUd1Wo1bYZhQFVV0vmY1pzJTmKM4xiaphU+l//e1u958cUX03bttddi3bp1mJ6eTtv27ds7lpHtVZuZmcHMzAxJrHx74IEHsGPHDimx77//fszOzpLF27JlS6EU169fT/pz+76PRx55RMp7vnnzZuzZs0dK7L/85S94/PHHpcS+9957e5eu4/t+OhR1XZd0BS8/hO8kxtYeZbdizMNDaXpkLL4EQYAzzzwzlaJpmuQ7uXgoTc9I5DHGcYxKpZIxvqIoaDab6VmRZUPpIml2M/xnMdLDeYz0sBjL6UqMIkWmqPX7L2y+4Lrrumk+ZRzHmcUWAGlaEdDe0wyCoKvcSxYjPSxGeliM5XR1iESlUimdqJZxJFnrcFjMKYr5qWq1mt5T/jnDMLqaF2Ux0sNipIfFWM6CYrQsi7wGx0LkN/BHUQTbtmHbdpv4oiiC4ziFz5XBYqSHxUgPi7GcrhK8+aBaOliM9LAY6Rl6MVqWxWIkhMVIjywxRlEEz/Owa9cu8tgAi7ETXc0x6ro+ktUAy2Ax0rPcxGjbdmau/vLLLydPFWIxllMoxvwCy6AtvvQbFiM9y0mMYRi2/R6ddtppaTYFFSzGcgrFGIZh141LG/QWFiM91GJ0XRdnnHFGmxzPPPNMsnsAWIydGPgEbxmwGOlZbmJcsWJFmxhXrlxJdg8Ai7ETC4rRdd3SNBcZW6goYDHSs5zEGEVRmxRXrFjBQ2kienbsWNk8IvWxY1SwGOlZTmIE5o89W7VqVWafNvUCJ4uxnBMS46jmOLIY6VluYhQ88MADnMdITF93vojhAA+lewuLkR5O8KZn6MUYxzFUVUWtVkOj0UCj0cD4+DgqlUrPausOGixGeliM9LAYy+n6dB3XdWGaJkzTHPndMCxGeliMtHieh8suuwy33nqrlM0bIyHG5QaLkR4WIx1r165N04VOOeUUrFq1irzaJ4txCGEx0sNipKGoCNipp56KH/7wh2T3ALAYhxIWIz0sRhpc18Upp5zSJsdvfvObZPcAsBiHEhYjPSxGGop6jCtWrMD69evJ7gFgMQ4lLEZ6WIw0JEmC1atX47TTToOiKDj55JOhKArPMeZgMRbAYqSHxUhHkiRwHAdr1qzBj370I3IpAizGoYTFSA+LkR7OYyyHxVgAi5EeFiM9MsQYRRE2bNgARVFw/vnno9FokMYHWIxLhsVID4uRHmoxxnGMlStX4tRTT80s/rSWP6aAxbhEWIz0sBjpoRZjWaqQaZpk9wCwGJcMi5EeFiM91GLM17kR7Qc/+AHZPQAsxq45cuQInnvuubRdc801WLt2LaamptK2detW7N27t+9t69atZLHybXp6Gtu3b5cSe2pqCjt27JASe3JyEjt37pQS++6778bu3bulxN68eTMeeeQRsng33XRT28nlK1aswIYNG8j/v79gMS7M8ePH8dFHH6Vt48aNuOKKK3D06NG0/fvf/8axY8f63oScKWLl21NPPYUoiqTEbjabOHjwoJTYe/bsweHDh6XEnpubQxzHUmLv2rULR48eJYsXxzG+9a1vQVEUnH766VAUBeeddx75z79t2zYW41LgoTQ9PJSmR8aqdJIk8H0f1113He644w7S2GEYYmxsDGvWrIFt2x1PFWIxFsBipIfFSM9yymMUJWvFUH7FihVYtWpVqRxZjAWwGOlhMdKznMRo23bbiviKFSsKqxMALMZCWIz0sBjpWU5iNE2zcEW8LFWIxVgAi5EeFiM9y0mMjuOkB2eIdsopp5SWrGUxFsBipIfFSM9yEqMo3ifkKOYay0q0sBgLYDHSw2KkZzmJEZj/fItThX772992PFWIxVgAi5EeFiM9y02MAt75skRYjPSwGOlhMZbDYiyAxUgPi5EeFmM5LMYCWIz0sBjpYTGWw2IsgMVID4uRHhZjOSzGAliM9LAY6WExlsNiLIDFSA+LkR4WYzksxgJYjPSwGOlhMZbDYiyAxUgPi5EeFmM5LMYCWIz0sBjpYTGWw2IsgMVID4uRHhZjOSzGAliM9LAY6WExlsNiLIDFSA+LkR4WYzksxgJYjPSwGOlhMZbDYiyAxUgPi5EeFmM5LMYCWIz0sBjpYTGWw2IsQKYYn332WTz77LNSYu/btw8HDhyQEnvv3r145ZVXpMQWtZ1lsHPnTrz99ttSYs/MzEiT8vT0ND777DMpsScnJ/G///2v42tYjAXIFGMYhqXHrfebRx99FH//+9+lxN65c2fHE5X7ybZt26RJ+b777sM///lPKbF938e7774rJfYdd9yBTz75pGfXi6Ko68/Pn/70JxbjUmAx0sNipGeUxAjMl0itVqsYHx/v+FliMS4RFiM9LEZ6Rk2MAPCLX/wirQL4ne98BxMTE23TJCzGAl555RX84Q9/6Nguu+wynHvuuXBdl7zZtg3btqXE/vnPf45f/epXUmJfe+212Lhxo5TYP/vZz/Cb3/xGSuyf/vSncBxHSmzLsnDLLbdIiX3VVVfh1ltv7cu1161bB0VRcNJJJ+GMM86AoihYt25dKkkWYwFzc3P47ne/27F94xvfwDnnnINarUbeLr74Ylx88cVSYn//+9/HJZdcIi32pZdeKiX2RRddhPXr10uJ/b3vfQ+XX365lNiGYUiLfeGFF8I0zb5c+/zzz8/Ujz7ppJPSHqTjOJiZmcGXX37Z0RPLTozdIHMo/cYbb+CNN96QEvvw4cN46623pMQ+dOiQtJSZl19+Ge+//76U2M8//zw+/PBDKbGfeeYZfPrpp1Ji79u3D59//nnPr+v7fkaKZ599NhzHyUzTPPHEEyzGpcBipIfFSM+oiVFIcfXq1W0ybIXFmEMU3I7jGL7vwzRNKIoCwzAybyKLkR4WIz2jJMYwDDvKsBUWYwtBEMBxHCRJAtu20zcwjmNomoZqtZq+VqYYjx49Km0HyJEjR6QlGx8+fBjvvfeelNiHDh3CsWPHpMQ+cOCAtN0nL774Io4fPy4l9rPPPtuXoXQ3PPXUUyxGYL6naJomAKQrV62ILrhIk5EpRoZh5DPyYkySBNVqFXEcI45j6LqOJEkyr4njmMXIMEzKyIvR931YlgUAbUJsRVGUdHjNYmSY5c3Ii9E0zbahc54wDKGqavq1TDEmSSJlB0iSJGg2m2g2m+Sx4ziWFlsQRRF83yeL1/ozL5f3vehnbjabpAd4RFGEZrO54O/YyItRVVV4ntfxNZ7nwbbt9Ou5uTncc889fb6zdoSgxXwoFZ7nQdM0uK6bJt1SYVkWdF2XEluQJAk0TSN9313XbdvhRIlt28tqUUMAAAWWSURBVNB1HY7jwHEckphhGLbtUtE0bcHfz15h23baUTJNE/V6vfS1y0KMnT50SZJA13Vpx04JxPxnEATkYsz/9dR1nWy/dv59p4wtsCwLjuOQvu+2bUvbE+/+/3ZA2Yg/SJ2muHpJ66gwSRIoSrn+Rl6MpmlmUnHy2LZNOoTqRJIkCMOQXIx5TNNEEARSYlOLMQiCVFKU77tpmtLEqGma9I4AUJwh0k9UVU0lHMdxRpR5Rl6MIhVnfHy87TnHcaQJoAzZYqT+Kw7M91gnJiZQq9XIhnUAMlkKMsRYrVZRqVRQq9XIPodCCL7vp3uLJyYmSGK3kiQJKpUKqaB934emaWg0GtB1veM848iLEZj/yyR2uIyPj6Ner6c7YAYNmWJMkgSGYZD/sfB9Px3eWZZFJuXWXpvM913IimLRLQxDVCqVdF5PTCVR915938/M61PFFPOqmqZ1/JwvCzECXw1TwzAk7Q0tFlm/oEKKsqcVxBFc/cb3fRiGgUajgUajgXq9jmq1ikaj0ffYRVANK0UvWUbsVjRNI82+iKIoMxISI6OyztGyEeOwIEOMgyJFYP6XlGI4nV8htW07XZmXAeVcd+tcG0D3x0ggzimgRGwJbsWyrNKeMotxwJAhRl3XUa/XM7llVH/NPc9Lc9lmZ2dRqVSk5HFSv++2bWN2dhbNZhP1er2tF9dPXNdFvV5HGIaYnZ0lX4yRMXQXZyLMzs4CmBcl9xiHCHHyDyWmabY1qkUQz/MyMWWt1FK/70EQpL1VGT11sSOs9UAVCpIkkdYrD8MwzWW0bbvjHwMWI8MwTA4WI8MwTA4WI8MwTA4WI8MwTA4WI8MwTA4WI8MwTA4WI8MwTA4WI8MwTA4WI8MwTA4WI8MwTA4WIyOFOI4H4pQj3/cH4vAMZrBgMTJ9p0iC3RQp6xeihAQg58itxaDrOllNFOYrWIxM3ymqbyKrxygKIbV+PchiFAXSBqF3vZxgMTJ9JQxDVKtVTExMZEplRlGUOd2k9STtRqOBycnJVAZBEKSPFSFKI7R+TxniWH+BEGMcx5iYmMDExETpaTPi3mZnZ9vi5H8e4KuStII4jtPX+L6fORQ3iqL00FxxNJZAVFFk6GAxMn1FlJUQpUKFAPNDaUVRMDY2lj6uaRpqtRrq9XrbY614ngdVVeE4Dmzb7lgiIAzDtspwrutibGwMmqalpUTz8kySBLVaLX2NZVltcYqmBvLxxIG4uq6nR1+Jn0Eckuu6LnRdz8T3PA+GYSzwTjO9hMXI9B1FUdqG0kVibK0BEsdx22Oi5KW4lqiV0tpTc123tDZ1fhgtHssPVX3fz1SWFLJqxfO8zGu6FaOiKG1zhgsd3FokdKa/8LvN9J1uxZh/zUKPua4LwzAyJ49PTEyUSkT09lopkmVeRKZptslMSFr0GrsVo6Zpbfdl2zYMwyiVYz4W039YjEzf6acYNU0rPIG8iCJ5FS2+5IVWdB/5x7sVY9m9iZ+lWq0WzqWW3QPTH1iMTN/ppxgXU6elrMe4kNA0TStMmemlGAW+70NV1cy1uMdID4uR6TtFNXx7IUaRytJtIaeyOcaFhGbbdtu8pRBY63WKpLtYMRa9jucY6eF3m+k7Yg6t2Wx2XJVerBjFtUU96MnJSTQajdJCXmWr0guJMUkSqKqKsbExzM7OYmJiApVKJbNyLL6n0Wig2WxifHwcmqZ1JUbXddN0psnJSRiGkflDUrT4w/QXFiPTd5IkgeM4mUUM3/czghO5hK10+5jv+2n1t4UqDWqa1ia0ouTzvCyTJEkrGpbFaK1C53leW0W8MAwLtx8GQZCpXpfvXXMeIz0sRmZZ0SmdZxDhnS9yYDEyy458AvUg07qvm6GDxcgwDJODxcgwDJODxcgwDJODxcgwDJODxcgwDJPj/wD4DF6ZPrmx5QAAAABJRU5ErkJggg==[/img][br]Find the coordinates of the points labeled [math]A[/math], [math]B[/math], and [math]C[/math]. Explain your reasoning. 
The graphs shows the amount of a chemical in a water sample at different times after it was first measured.
[img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAUYAAAC6CAYAAADS8OQmAAAgAElEQVR4nO2db2zU9hnHb4JWnTr1rtO0SpTJkbZqQ5T50EpZ14JTbWhvqt51Vftim/BtU9VtUndXDal7UcmnvdibSrtoKoz/TkLSLITDIYTwN5hAIQWyGcIoQfxxGdCWMuoBZZS18N2LzJ7tsy+XuyeJE56P9JPg7Hvyu7vcJ/798fPEwDAMw3iITXQHGIZhogaLkWEYxgeLkWEYxgeLkWEYxseEitE0TaTTadTX16O+vh6apo34HE3TUF9f73lMVVUnhqqqgecHHWMYhgliQsWoKAp0XQcAGIaBeDwO0zRDz7csC6IoIhb7f7d1XYcoijBNE6ZpQhRFT0xBEGCapvPcSuTLMMzdTaSG0pIkOVIrd9wtRlmWPVeCqqpClmXnWKFQcI5pmoZUKkXdbYZhphiREqN9dRdEoVBANpsFAI8Y/TLVdR2SJAUesywL8Xi8JPZnn32GW7duedr169dx7do1p12/fh03b97kxo3bJG+fffbZiC6KjBgVRXHE58cwDIii6PzfLUZRFGEYhud8+3jQFaj7uTYnT57Evn37PO2NN97AqlWrnNbY2IjNmzdX3datW4fOzs6aYrhbZ2cnmpubyeJt3rwZbW1t6OjoII3Z2NiIrq4usnjFYhGtra2kfWxtbUWxWCSLt2nTJjQ1NZH2sb29He3t7aQxm5ubSX8nN27ciJaWFtI+trW1YcOGDaQxe3p6cOfOnbI+ioQYVVX1iM+PJEke+ZW7YnRLtFIx+tE0zTMEp2DXrl2wLIssnmVZ2LlzJ1k8YPi9O336NGnMzs7Oiv5CV8qFCxfQ399PFg8A9u/fj/fff58s3s2bN7F582ayeAAwNDSEY8eOkcbctm0brl+/Thbvn//8Z9mpsGoYGBjA2bNnSWMWi0Xcvn277DkTLkZbimHS0HUdiUTCWVmur69HLBZDfX09DMNAKpXyLKhomuYMpVOplGf+0T3MLocsy5gzZ04tL6sEFiMNLEY6WIzhTKgYy0nRXmUOwn3Vp6oq0um08/9UKuVc7Wma5jkmyzIURRmxX/fffz9isVjZFfLRwmKkgcVIB4sxnAkVYywWQzKZ9FwN2vOMkiSF7jv0D4dlWUYymUQymYQsyx4BuY+VuzK10TQNsVgM06ZNIx1OsxhpYDHSwWIMZ8KH0mEIgjAqkViWFXp+uWN+Fi9ejOnTpyMWi+HRRx+t+OePBIuRBhYjHSzGcCIpRtM0KxryjgX2MNpuVMNpFiMNLEY6WIzhRFKME4U9jHY3quE0i5EGFiMdLMZwWIwuFi9ejFgshlmzZmH27Nmkw2kWIw0sRjpYjOGwGF3E43GoqopXXnkFP/jBD6CqKtlwmsVIA4uRDhZjOCzG/6FpmrMKbosRGN4ORDGcZjHSwGKkg8UYDovxf7il5RYjgJJbDquBxUgDi5EOFmM4LMYA/GKkgMVIA4uRDhZjOCzGAFiMdLAYaWAx0sFirBIWIx0sRhpYjHSwGKuExUgHi5EGFiMdLMYqYTHSwWKkgcVIx6QRo67rFe0VNAwj9DzDMEJXj03THNXKMouRDhYjDSxGOkjEqKoqMpmMkwfRzoiTTqfR0NBQ05e9UChAEASkUimIoohMJhN4nmVZSCaTgefZxyRJgiRJJRl0ZFmGKIrOc0fqr2mamD9/PmbOnEmyTceGxUgDi5EOFmM4oWIsFApIJBIQBMHJY6jrOnRdd8oQCIKARCKBfD5fVQf9b6IgCIFvrL/sgTsBraqqngJX7gJY/mOKopRNTvHaa6+V3CtNVTyLxUgDi5EOFmM4gWIsFAoVlxq1s2JTZMMJqxLof9xd7U+SJE8/3Vm6/dm9DcMIzeBtmmaJFO3W1tZW82tjMdLAYqSDxRhOoBiruTe41vuJTdNEPB4PlIc/N2O5SoDV1Hy5fPkyfv/734eKceHChejv78fQ0FDVrb29HQMDAzXFcLeBgQG0t7eTxRsaGsLWrVuh6zppzKamJhw/fpws3v79+7Fp0ybSPnZ2dtb8+brbsWPH0NzcTNrH3t5ebN++nTRmW1sbjhw5Qhbv0KFD6OjoIO1jd3c3+vr6SGO2trbWPscYVrkPGJZZLpdDLperaT7OnicMu0L1y8wtRv/w27KsUVcJ/PDDD/Hb3/42VIwLFixAX18fjh07VnVra2vDwYMHa4rhbgcPHsRbb71FFu/YsWPo7u7Grl27SGOqqoqjR4+Sxdu7dy82btxI2sdisYh9+/aRxfvb3/6GpqYm0j5u374dPT09pDFbW1tx+PBhsngHDhxAe3s7aR+7urrQ29tLGrOlpaV2MUqS5Cy+pNNpjwAlSUIqlUI2m0U8Hq/qqtGWYlgZA/vnuH9uuSvGaupKA+WH0itWrBj16/LDQ2kaeChNBw+lw6lIjHb9FXvBxf6Cx2Ix59/ZbHbUWWgqkSIwvKDiPqdQKECW5cBjqqo6x/x9cs9NBrFkyZISKT755JOjek1hsBhpYDHSwWIMZ0QxBm1/sV+8e1iq67ojpEqxt97s2bPHafaVoaIojvB0XYcois5exUQi4ZxnGAYEQXCOJZNJp3+maTpDbfvYSAtKuq7j0UcfxYwZM0h/uVmMNLAY6WAxhlORGN1ks9lQMVZSs9mNfTXqbvacpiiKgSvR/pXmkY7Ztaf9q9fl4A3edLAYaWAx0kEiRlmWnau6zs5OJBIJZ97Rnd3aHmpTIQgCWazRwmKkg8VIA4uRDhIxWpYFSZIQi8Wc1P+GYThDXVEUkc/nkUgkyN4Uy7JIi92PFhYjHSxGGliMdIzLvdKapkGW5YqHqZMBFiMdLEYaWIx0TJokElGDxUgHi5EGFiMdZEPpfD6P+vr6wEaZaCEqsBjpYDHSwGKkg0SM9t5FOwGDv03kXOBYwWKkg8VIA4uRDrLtOtQvNuqwGOlgMdLAYqSD7M4XFmPtsBhpYDHSwWIMZ0QxFgqF0ASyUxUWIx0sRhpYjHSQLb4kk0kkEglefKkBFiMNLEY6WIzh8OJLACxGOliMNLAY6SBbfJlKm7crgcVIB4uRBhYjHZNm8UXTtBFTjwHD92Pn83nkcjnPlaphGMjn88jn8yVDe/vYaJLpshjpYDHSwGKkY1IsviiKAlEUR8zMI8syUqmUU5DLloydWkxVVaiqCkEQHGm6j2ma5qQnGwkWIx0sRhpYjHSQlU9NJBJjsvii67qTxqycGFVVDT3uT0brTmLrry7oTmJbDhYjHSxGGliMdJCJMWzhhWrxZSQxusul+kU8mtIG9hXkSLAY6WAx0sBipGPSJJEYSYx2/ke7xoydzRuA59+At65LpcWwTp06hf7+fqe98MILmD17NhobG53W2tqK7du3V91WrVqFrq6ummK4W1dXF1auXEkWb/v27Vi3bh3Wr19PGnPp0qXYunUrWbxisYjGxkbSPqqqio0bN5LF27JlC/785z+T9rGtra3m30F/W7FiBbq7u8nibdq0CatXrybtY3NzM/nvZGNjY3ViVFV1VOY3DKOmletKxOgeLquq6qkrHXZVWKkYP/30U3zyySdO++Uvf4mFCxfiww8/dNrly5dx7dq1qltPTw/Onz9fUwx3O3/+PLZs2UIW79q1a+jv78fg4CBpzI6ODliWRRbv5MmT0HWdtI+7d+/G6dOnyeJdvnwZxWKRtI+GYeDw4cOkMbu6uvDBBx+QxTt37hy2b99O2se3334bx48fJ425fv366sSo6zri8TjS6TQ6OztDh4CapiGTySAej4+5GP3yq7RKoLtf7prT5eChNB08lKaBh9J01DSUtiwLiqIgHo8jFoshmUx6Fl3sKnqyLNc8zxgkRtM0nbj2fKaNu9pfoVDwLLBks1nn//5yC4qi8OJLGViMNLAY6YicGN3ouo5CoeBZdKF8A4LE6B4+W5YFURSRy+WQz+edyn/+Y7lcDqIoOkK1j2UyGeRyOc9WnnKwGOlgMdLAYqRj0iy+WJZVstrsl5hlWdB1HZqmlcjNsixomgZN00rkU+55YbAY6WAx0sBipGPSiNGPaZrOUHkiYDHSwWKkgcVIx6QV40TDYqSDxUgDi5EOFmOVsBjpYDHSwGKkg8VYJSxGOliMNLAY6ahKjNeuXcMPf/jDitt7771H2ukowGKkg8VIA4uRjqrEePPmTfzhD3+ouF2+fJm001GAxUgHi5EGFiMdPJSuEhYjHSxGGliMdLAYq4TFSAeLkQYWIx0kYjQMA8lk0rkF0N+4GFZlsBhpYDHSwWIMZ0QxplIpyLIMXdchyzIKhQJ0XffkSJxqsBjpYDHSwGKkg6zmi31VqCiKJ1tNpfceTzZYjHSwGGlgMdJBXgzLTiQRdGwqwWKkg8VIA4uRDrK60rYMDcOAIAiwLAuWZaGurq7mN8KyLKTT6bL5GHVdRzqdhiAIiMfjyOfzJX1MJBIQBAG5XM5zrFAooK6uLvBYGCxGOliMNLAY6SARozsvIjBcrc9eeKk10YNhGJAkCbIslxWjOzOOZVmean+qqnqSz0qS5Mx96roOURQdIVU6L8pipIPFSAOLkY4x265jGAbJG2AYhhNrpPKpbhRFcXI1+mXnTmIry7LnWKU/h8VIB4uRBhYjHWTbdcIWWKjehNGK0X3FOJoqgQCcQllu/v3vf+Pq1atOe/nll/HUU0/h3LlzTjt//jyuXLlSdevu7oZpmjXFcDfTNLF582ayeFeuXMG+fftgGAZpzPb2dly6dIks3rvvvove3l7SPu7cuRNDQ0Nk8d5//310dHSQ9nFgYAD9/f2kMTs7O/GPf/yDLN7p06fR09ND2se+vj4cPXqUNGZ7ezvN4ktYPZdKC9iPxGjE6C9P4M7mbWMXvKq0GNbZs2dx+PBhp7344ouYM2cOWlpanNbR0YHdu3dX3dauXYuenp6aYrhbT08P1qxZQxZv9+7daGtrQ7FYJI25fPly7Nq1iyzepk2b0NzcTNrHpqYmdHV1kcXbsWMHVqxYQdrHjo4O/OUvfyGNuXr1amzbto0sXnd3N1RVJe1ja2srNm7cSP551yzGIPHYUK1KVypGVVUDSyD4rxjtOcdKxeiHh9J08FCaBh5K00G2XScKV4z2IotfLjzHSAeLkQYWIx2RFaOmaYjH42hsbHS+2IZhIJ1OV1SKtBKChKVpmvMmq6oKWZYDxaJpGurr653/u0UZtCrtrk8dBouRDhYjDSxGOshWpd1lVO0mSRLZXS9hVQJtwQXdo+0+X1EUCIIAQRA85VKB/19pBh0Lg8VIB4uRBhYjHeTbdUzTHLc7XYJWj8cLFiMdLEYaWIx0TNq0Y3Y51ImCxUgHi5EGFiMdVYuxUCg4t89ls1nU19eHNk47VhmUYrQsC62trXjuuedI338WIw0sRjoiJUZN05xFClVVoShKaOPsOpVBJca9e/fivvvu88y3zp8/n6CHLEYqWIx0REqMdztRFuODDz4YuBhV6cJSOViMNLAY6WAxRoioitEwjNBM6oIg1NxHFiMNLEY6IitGy7KQyWRQV1cX+IXkfIyVMdZifOihh2ruI4uRBhYjHZEVoyzLEEXR2XDtb5QrrVEhqmIEgHvvvTdQjIsWLao5NouRBhYjHZEVY7l7pacqURZjS0sLpk2b5pHigw8+SBKbxUgDi5GOyIpxqpYvKEeUxQgMb7TPZDJ47LHHsGTJEpKYAIuRChYjHZEVo6ZppLf/TQaiLkaAN3hTwmKk4a4So2VZZetKT8WrSRYjHSxGGliMdJAuvqiqyosvNcBipIHFSAeLMZxJs/iiqioymQxyuVxJfwzDQC6XQy6XK7lFzn2s0tfBYqSDxUgDi5GOKbP4YqcOs69S7e1DwPBChCAI0DQNmqZBEARnPjToWCWvhcVIB4uRBhYjHWSLL6lUakKHzP5M3PZ92sBwkgt38lk7qa19nvtWOU3TPPViwmAx0sFipIHFSAeJGO1i9rFYDIlEYkKy62ia5mTitheD7A9gNFUC7ZrUfi5evIgTJ0447ac//Snmzp2L7u5up23fvh0DAwNVt5aWFuzdu7emGO62d+9erFu3jizewMAANm7ciK1bt5LGXL16NQ4ePEgWb+fOnVi/fj1pH9vb29Hb20sWr7+/H2vXriXtY3d3N7q6ukhjNjU1Yf/+/WTx+vr60NraStrHYrGIbdu2kcZct24dTfnUoEWX8V58URQFiUQCiUTCk6vRHmLbWJblJLmttBjWxx9/jIsXLzrt5z//OebPn++pHGgYBs6ePVt127BhAwYHB2uK4W6Dg4Po6Oggi3f27Fns2LEDb7/9NmnMdevW4dSpU2TxDh06hO7ubtI+dnV14fDhw2TxhoaG0NraStrHvr4+9Pb2ksZsb2/H8ePHyeIdOXIEGzduJO3jtm3bcODAAdKYbW1tUyOJhH3FqOs6VFUtW1fanlcMOgZwlcBy8FCaBh5K0zEwENGhNDD8JWxsbEQ+n3deuGVZ45ak1r2gAvx/0zlQfiidSqU8V5emaVZUwIvFSAeLkQYWIx0kYjRNE3V1dU6xKXvRw7IsxGKxcRlKlxOjqqqeBZZsNuv00b0QA5QuxoTBYqSDxUgDi5EOEjGmUilHJu7VYGD8tvLYw+d8Po98Pu/ZdmNZFkRRRCaTQSaTKak9bR/L5XIlgg2DxUgHi5EGFiMdJGIURdEZMk+UGAE4FQrDFnyqPRYEi5EOFiMNLEY6yDZ42/N0bjFaloVEIjElk0uwGOlgMdLAYqSDbIN3PB5HY2MjMpkMZFlGZ2cnkskkUqkUWWejBIuRDhYjDSxGOshWpe3b6fzFl6ZiAgmAxUgJi5EGFiMdY1IMa6rK0A2LkQ4WIw0sRjq4SmCVsBjpYDHSwGKkgyxRbT6fL7lHejzvlR5vWIx0sBhpYDHSQSJGRVGcjd1BjVelK+NuFKOu6/jRj36E3t5espgsRjpYjOGMarvO3QKLsTYsy8LMmTM9i3UPP/wwyetnMdLBYgxnUiSqHW9YjLWxaNGiwPpA8+fPrzk2i5EOFmM4FQ2l3Ylg7wZYjLVxzz33hBZPqxUWIx0sxnACf1MVRXHuS87lckgkEshkMs5j7sZzjJVxN4kxTIoUSUdYjHSwGMMJFKMkSRU3XpWujLtJjI8//nigFGfMmFFzbBYjHSzGcCbdPkZFUUqGZNls1kmLlsvlSs4XBAHxeLzkWBgsxtowTRP33nuvR4rTp08n+SPKYqSDxRhORfkYw77Q470oYxgGJEnyiFFVVSc3IzCcJs0unOWuFeM/Vg4WY+1YloWXX34Zs2bNwksvvUQ25cJipIPFGE5Fq9JhMonH4+M2lLYsC5IkwTRNjxj9WbrtqoZAaXVBd3bvcrAY6eAN3jSwGOkgEWO5WszjuZXHXSbVLUZ/HwzDcMoXVFrz5fjx49i9e7fTnnvuOcyaNQvLli1z2sqVK1EsFqtuS5cuRVtbW00x3K2trQ1vvvkmWbxisYjVq1ejqamJNGZDQwM6OjrI4rW0tGDFihWkfVy+fDlaWlrI4nV0dOBPf/oTaR9VVcWaNWtIY7755ptob28ni/fWW29h2bJlpH1ctWoVmpubSWOuWbNmbDd4u4tSjSW6rntSnJUTo/t4pWK8c+eOp73yyiv4/ve/j88//9zTbt++XXXbuXMnrly5UlMMd7ty5Qp27NhBFu/27dv461//ilOnTpHG1DQNt27dIot3/vx57N+/n7SP+/btw8WLF8ni3bhxA11dXaR9PHHiBI4ePUoac+vWrbh69SpZvI8++gi9vb2kfTx06BDOnDlDGrNYJLhiLBQKqKurg+4rUWqXERhr7FrQ7mEo9RWjHx5K08FDaRp4KE0HiRiB4ZXdeDzuWWUcr6069oKLu7l/vn8e0T/H6N6crvMcY1lYjDSwGOmItBiB4S+i/r/aKRO9d9F91afrumfl2b1YZF89ulelK7mLh8VIB4uRBhYjHaRijBL+4bBdRVAQhJLyqOWOhcFipCPKYjx69CjmzJmDL33pS/jqV79a8T7XkWAx0sFijBAsRjqiKkbLsjBt2rSSu3Oef/75mmOzGOlgMUYIFiMdURXj888/H3o/d61TRSxGOliMEYLFSEdUxegv7uZuteYfZTHSwWKMECxGOqIqxqeffjpUjLV+uVmMdLAYIwSLkY6oinHv3r2BUvz6179ec2wWIx0sxgjBYqQjqmIEgD/+8Y+YPn26I8XZs2eTfEZjIcZDhw5h27ZtpDFZjOGwGANgMdIRZTHabNiwAUNDQ2TxKMVoGAYefvhhR95f/vKXsWXLFpLYLMZwWIwBsBjpmAxijOoGb8uy8MADD5QM96dNm0byu8RiDIfFGACLkQ4WY/UsXbo0dIFoyZIlNcdnMYbDYgyAxUgHi7F6ZFkOFaMsyzXHpxRjW1sbvv3tb+Ohhx7Cs88+S/a7zmKMECxGOliM1aNpWqgY33jjjZrjU4nxtddeG7PhPosxQoyFGIvFIi5dukQW79KlS9iwYQNZPADo6+vDkSNHSGM2Nzfj1q1bZPFOnTpFvjrb09ODM2fOkMW7fv06WlpaSGK5F17s9sADD5DEbm9vx8cff1xTjLBbK2OxGJ5++uma+6jrOvk2JVVV8fnnn5c9h8UYwFiIsbm5GRcuXCCLd+HCBTQ1NZHFA4avIN555x3SmMuXL8enn35KFu/YsWMoFotk8YDhVel3332XLN7Vq1excuVKkliWZWHRokW4//778cUvfhFPPvkk2chj7dq1+Oijj2qKoet66FWtIAg197G7uxuHDx8e8TzDMCq+lXPZsmUsxmpgMdLBYqRh79692LVrF2lMCjEahhEqxm9+85s197FSMQLDc7KCIOA3v/lNWUmyGKuExUgHi5GGqIoRAL7yla8EipFiOmE0YgS8C1YzZsxALpcrkSSLMYDBwUG8/vrrZdu8efPwjW98A4qikLV0Oo1XX32VLN6rr76KdDpN2sef/OQn+MUvfkEa85lnnsHrr79OFu9Xv/oVXnzxRdI+vvDCC/j1r39NFu93v/sdnnnmGdI+/uxnP8PixYtJYz777LNYsmQJSd/uu+8+jxTnz59P0scf//jHeOmll0b1HFEUnX7cc889iMVi+NrXvuZIksUYwI4dOzBv3ryybcaMGZg5cybq6+vJ2ty5c/HUU0+RxVuwYAHmzp1L2sd58+bhu9/9LmlMURQhSRJZvCeeeAKPPfYYaR+/853v4Hvf+x5ZvIULF0IURdI+zp8/H48//jhpzGQyiQULFpDFmzt3Lh555BHS3/N58+bhiSeeGNVzvvWtb3kk/YUvfAGxWAxz5sxBoVBAc3Mz7ty5U9YTd50YK2EshtIHDx7EtWvXyOJdv34dBw8eJIsHACdPnsT58+dJY+7Zs2fEv86j4dKlSxgcHCSLBwxn8r58+TJZvFu3bmHfvn1k8QDgvffeI99KdeDAAdy4cYMs3r/+9S8MDAyQxQOAEydO4OLFixWfr6qqR4qPPPIICoUCTNN0ztm9ezeLsRpYjHSwGGlgMY6MLcUgGbphMfowDAPZbBaWZUFRFKRSKcRiMdTV1XkmaFmMdLAYaWAxlkfXdWSz2Yq27LAYXaiq6hTDSqVSzhtoWRZEUURdXZ1z7liIcXBwEJ988glZvBs3bpALwjRNfPDBB6QxDx06RCrGK1eu4OTJk2TxgOFch7VudHbzn//8h1wQFy9exLlz50hjGoaBmzdvksW7du0a/v73v5PFA4AzZ86Q3hgBAO+88w6LEfDWk85msyUlVO1br+wb4MdCjAzDTB6mvBgty0JdXR1M04RpmhBFseQc0zRZjAzDOEx5MRYKBaRSqRHPc1eHYzEyzN3NlBejJElQFKXsObquIx6PO/+fLGL0TwlEDV3XsWfPntDVwShgGAb27NmDPXv2THRXRsSyLOTz+YnuRiCKoiCfzzuNOi8jJfZnXm6hZsqLMR6PjygQRVE8+e16enrIb7ejxDRNJJNJj8yjhL2gJcsyFEWBIAiRlLgoikilUlAUBZIkIZlMTnSXyiJJEmKxaH5lY7GY5+6TKIrRsizU19c7F0uqqoaeG813mZB4PF72itH+ElPmShxrRFF0bt6PKu6rRNM0Iylx/2cuimIkv9DA8OhAUZTIfub24maUkWW54j/Q0XyXCZEkybMVx48syzUXWJ8oovol8WNZ1qToqyAIFaeuGk8Mw3AWDaP4Prp3fUQVy7JG9cc5eu8yMfZu+Ewm43ncsixks9lJK0Ugml+SIPxTFVFCVVXk83lnSB1FJElyhB3Fz9wwDMTjccRiMSQSCaTT6cjNK9vyzmazSCaTqK+vL/vdj967PAYUCgXnDpdMJgNZlp07YCYzUfyS+NF1PdJTFaqqOndBpVKpyPXTv+92MnzmiqJEbr7WTqhrT5XY0zthAo/+u0yIruuRnUOqhqh/SewhYNRkE0bQ5v+JxDAMJBIJz2pvLBZDPp+P3BWZn6j9bgYN92VZDl2AiVbvmVERtV8+N4ZhQJKkSSNFYFiMURpOm6ZZkmvQXv2NshijuNhmmmZJqQVJkkIvlKL7zWJGJKpiNAwDdXV16OzsdPYIRm0/o2EYaGhocPrW2NgIQRAi1ccgoviZq6qKXC6Hzs5O5PN51NXVld0KM1Fks1lkMhns2bMHDQ0NEAQh9A939N5lpmKidHXjRtf1wMzKUZrGsCzLuSvKXniJuhSBaH7mlmU5c7VRfx/tz1xRlLKjGRYjwzCMDxYjwzCMDxYjwzCMDxYjwzCMDxYjwzCMDxYjwzCMDxYjwzCMDxYjwzCMDxYjwzCMDxYjwzCMDxYjMyEYhhGJW8dUVY3kfb3MxMJiZMYc0zRL7kutpEjZWGBZFpLJpJOk1L6/N6pIkhSpVGh3CyxGZsyRZbkkgUSQLMcDu/CV+/9RFqNdwXIypW+bCrAYmTFF13UkEglkMhlPWU1VVT2ytOVklxpoaGhwZBD0mBvDMJzjIw3P4/G4J6W9OyPMSKU/NU1DPp9HY2Njyc/xvx4ATkz3e422ZHoAAAJ1SURBVKHrOizLQkNDQ8kx++c3NjZ6XudEXV3fzbAYmTHFTq5ql1K15eH/ssdiMaTTaec8URSRTCaRyWScNFH2Y/74giBAURRks1nE4/HQglZ2env/8+vr60tiuPtmD7/tc2RZRjwe94gwSF7+n2c/1y7bms1mAQznCbRj21e07nnPQqEQuVIBUx0WIzPmuGtt2ASJ0V0wyzTNksfsaoN2LLsIk/vqzRZdEP5htP2Yf6iqqqqnsmTQ8wqFguecSsUYi8VK5gzLZZIOisOMPfxuM2NOpWL0nzPSY3bRJXeW8IaGhlCJZLNZpFIpz2NB0vOLKGwBJBaLOVenlYrRn17f7lcymURnZ2dgv+0/CFEs7TpVYTEyY85YidEe9kqSVNKCCJJX0OKLX2hB/fA/XqkYw/qmqioEQUBdXZ1n7nGkPjBjA4uRGXPG8opxNIXew64YRxKaKIqhV4x2X4LqUo9GjO7n+Oc47WkFvmIcP1iMzJgjCEJJcXMKMdoSqXSjeNgc40hCy2azJfOWqqp6KuGFxR6tGO3z3ALnOcbxh99tZsyRZdmZQ7MFSSFGO7a79nIul/Ms2LgJW5UeSYyWZUEQBKTTaTQ2NiKXyyGRSHhkbz8nl8s55wiCUJEYs9ks8vm8M0fqj22vyDPjB4uRGXPsinzubShB+xj9V36VPqZpmiMd95agIARB8GyFsfcWurHrOQe9BnvIHDSstasjplIpZ+jtjqPreuDth/bzwvovCALf/TLOsBiZuwpFUTzbbKIO3/kyMbAYmbuOoFsUo4osyyXzs8zYw2JkGIbxwWJkGIbxwWJkGIbxwWJkGIbxwWJkGIbx8V9tJvKCkvV6HQAAAABJRU5ErkJggg==[/img][br]Select [b]all[/b] statements that are true.
The graph shows the amount of a chemical in a patient's body at different times measured in hours since the levels were first checked.
[img]data:image/png;base64,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[/img][br]Could the amount of this chemical in the patient be decaying exponentially? Explain how you know.
[size=150]The height of a plant in mm is 7. It doubles each week. Select [b]all[/b] expressions that represent the height of the plant, in mm, after 4 weeks.[/size]
The number of people who have read a new book is 300 at the beginning January. The number of people who have read the book doubles each month. Use this information to complete the table.
What do you notice about the difference in the number of people who have read the book from month to month?[br]
What do you notice about the factor by which the number of people changes each month?[br]
If [math]n[/math] people have read the book one month, how many people will have read the book the following month?
Solve each system of equations.
[math]\begin{cases} x+y=2 \\ \text-3x-y=5 \\ \end{cases}[/math]
[math]\begin{cases} \frac12x +2y = \text-13 \\ x-4y=8 \\ \end{cases}[/math]
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Information: IM Alg1.5.5 Practice: Representing Exponential Decay