Are they correlated? Explain your reasoning.

Do either of the variables cause the other to change? Explain your reasoning

Are they correlated? Explain your reasoning.[br]

Do either of the variables cause the other to change? Explain your reasoning.[br]

What is wrong with this claim?[br]

What is a better headline for this information?

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wqecPII/yBw9A+WJoR9t5LQ+25QpgqELlLReYn4xKzl4rtENZGoS4CwoUjM2gawBhyK3n+QkvEvL/yobttZFV1U4TziE7O27f3B6AEQiEQ9QIpDpYBZG4qOzcmg9x+QVblx/6h4/qyKLqpwHvGJWZt/L9AzKAKRqAdN+2FpebP27t27i/1Rdf0NQ/9H7ds/hm1jbKPUS3+k3f7W59u3b59j2N8Ctb+76F/62NNi2Hr6u4nV/k6ox+Ta87PrXTdb04zxL+31tKCxGuP11/bZGP+3N73mrC/Stu+/lptHzhtZF+IKztcrJOITs7YeS0YOgkAk6kHSHCYNb9Z0E9TRjJT126u92WmMbpj6Q9hq90d/452LY+P9uGEAGjyRs+t9SQ/WZ6/eLwrSlzQjA6B2O2p+r8/6ZcjafvsF4/3794Mzv5zeyLqA82Xuer0Rn5i1Hmq0DY1AJOqhk39Act6syXjpKZm/odkNU8bN0tSGK0PnzZpukhqjp2v+pqubbK/tATCcdsmz632NRnp61DyvUZku6dhIlS6lU69d0+CXL1+enyZLt6cVg0t8ZF2Iu6V9Ac4dmZcL/4PBz3BwlQGBkTepEfH1Zk1PGnptlrs2WbtB6kc3Qd0UtQHb+LZN1/4G6+PKwI2I06g5nV3v0pTnvm2TCZPWjAuvURtvL43zZk2xpFd/VDzNU5/ijcr5mrxG1oU4gfM1TH4fE/HJk7X1WDJyEAQiUQ+S5jBp+Jvekllrb2i6semGJyOGWbsvtWfX+wg3bmNMeUjXZzdsI+tCWD/SrJ2N84hPzNp9911W2wGBSNQ7LJEqxBqz1hujjym2mDUfRxs1H4PeJqez633NjVtaMyOlXyg0z7fpFwppy5DVXP9LRIv458+fn5t6MZ47T3Qysi7EneepbRNvnl+N8W09vjQ3E+cRn5i1E705SfU7ApGowelnBLyB0o2wbfOGyjZK/7PFrNnKfsP1cezcb94/Z8nVHAJn17v04Llv25b0ZzdrvTRPujI9L821fq91zbOjxTrza2RdiCc4X6+wiE/M2nosGTkIApGoB0lzmDT8zWrOrFmy+phTN7TXr19f7DdX/faqfl37Ob7N2rVZWyzrs38yxI4yfsOAc4JEzq53aWHpxi0a9BRFGmwNVWvMpGeb386VIfvrr78uv/3220+/gHgDqLXPdhxZF3C+XU0Rn5i17Zgy48EIRKJ+cHosDwK7IoDed4UzTTB0kYbKp0IiPjFrufguUU0k6hIgUGQZBNB7Gao3FYouNsE1/OCIT8za8BSSYItAJOp2PNcgcGYE0PuZ2Tsud3RxHLaPiBzxiVl7BCuseRMCkahvCs5kEBgMAfQ+GCGDpIMuBiFipzQiPjFrOwFNmPshEIn6fpmwEggcjwB6Px7jM66ALs7I2nzOEZ+YtXns6BkUgUjUg6ZNWiBwFQLo/SrY0k9CF7kojvjErOXiu0Q1kahLgECRZRBA72Wo3lQoutgE1/CDIz4xa8NTSIItApGo2/Fcg8CZEUDvZ2bvuNzRxXHYPiJyxCdm7RGssOZNCESivik4k0FgMATQ+2CEDJIOuhiEiJ3SiPjErO0ENGHuh0Ak6vtlwkogcDwC6P14jM+4Aro4I2vzOUd8YtbmsaNnUAQiUQ+aNmmBwFUIoPerYEs/CV3kojjiE7OWi+8S1USiLgECRZZBAL2XoXpToehiE1zDD474xKwNTyEJtghEom7Hcw0CZ0YAvZ+ZveNyRxfHYfuIyBGfmLVHsMKaNyEQifqm4EwGgcEQQO+DETJIOuhiECJ2SiPiE7O2E9CEuR8CkajvlwkrgcDxCKD34zE+4wro4oyszecc8YlZm8eOnkERiEQ9aNqkBQJXIYDer4It/SR0kYviiE/MWi6+S1QTiboECBRZBgH0XobqTYWii01wDT844nPWrNlEfsAADaABNIAG0AAaQAPHa2DJUc6ataVJ9IHAIxGwTYMXCFRB4H//+1+VUqlzAwLoYgNYJxga8dm963EzPAGzhVNEn4XJL1h6tIkXhISSL5cLusglg4hPzFouvktUg1krQTNFTghEmzhA1UQAXeTiPeITs5aL7xLVYNZK0EyREwLRJg5QNRFAF7l4j/jErOXiu0Q1mLUSNFPkhEC0iQNUTQTQRS7eIz4xa7n4LlENZq0EzRQ5IRBt4gBVEwF0kYv3iE/MWi6+S1SDWStBM0VOCESbOEDVRABd5OI94hOzlovvEtVg1krQTJETAtEmDlA1EUAXuXiP+MSs5eK7RDWYtRI0U+SEQLSJA1RNBNBFLt4jPjFrufguUQ1mrQTNFDkhEG3iAFUTAXSRi/eIT8xaLr5LVINZK0EzRU4IRJs4QNVEAF3k4j3iE7OWi+8S1WDWStBMkRMC0SYOUDURQBe5eI/4xKzl4rtENZi1EjRT5IRAtIkDVE0E0EUu3iM+MWu5+C5RDWatBM0UOSEQbeIAVRMBdJGL94hPzFouvktUg1krQTNFTghEmzhA1UQAXeTiPeITs5aL7xLVYNZK0EyREwLRJg5QNRFAF7l4j/jErOXiu0Q1mLUSNFPkhEC0iQNUTQTQRS7eIz4xa7n4LlENZq0EzRQ5IRBt4gBVEwF0kYv3iM/TmrUPHz5cXrx4cXn58uXl69evV7Fm82y+xfnll18unz59uipOb9KbN2+e4tpxhNdo+dyCCWbtFvSYezYEok38bPWQ7z4IoIt9cBwlSsTn3czaHubKg3prPG/UMpm1OVwebdbMCJshvtVgmwYwa/6dwHl2BKJNPHv91NdHAF30cTlra8RnWbMm87D3EzUJ5VHmaDSz9u3bt8urV6+eTJoZNcyaFMIRBNYhEG3i66IwKhsC6CIXoxGfu5q13o3ZzIMMhG7WdrQb+JcvX54/hrQx9pKJsjFqs3YfwwzW27dvn2/8FkeGwH8s6ufMxVJONt/yt5eMlvrsWi/lZ+v8+eefT/n7uRqnGH5uG7s1inP42bylPq3p61Xuys3no3Mb4/PrreH7fe3v3r37yYB5fJWPjn/88cfFfpSf50hjthx5srYFLcaeHYFoEz97feR/HQLo4jrcRp0V8bmrWfMmwIyAmZH3798/36RlIOxoJmKtWdNN3s/XuW78foyMg/KRYRFJfqzi2Ji///772fSpXUfFaD8+tX71Kb4dtbbMTs8I2Vxv2DRHawo/H6/Xp3Xn6rK129iKY0fhZYbKt+tcNfRq1xjxoFx6R+W3Zmxvvtowa0KCYwUEok28AgbU+E8E0MU/MTlzS8TnbmbN38jtpt++ejdqP0eGQU9vvImQ0fA3+bbNmyFbv72ey8ebJeXo1/YGxvp9zj2TpnWUn4yOYvs5foyP2+K31Kf1dNQ6Hivr01pq9zGVo2Fm7Xqp9qU5Ws9jpvntUWMVr+1fe41ZW4sU4zIgEG3iGWqkhu0IoIvtmI08I+JzN7NmIMgQ6GmLNx29G7U3DNZvr9as+TFRPJkLM0QfP358emo1ZwyUjzdryt/Paddvr+fIVywZIV0LG3+UgWvH+HqX+nwOqsvXYP2ab0e9em3C0OenWL528dVrU/z2OJdbOy66xqxFCNGfCYFoE89UK7WsRwBdrMfqDCMjPnc1awZIe7OX4ejdqHs3+lvMmuaaAdN32rw58YQpn1vMmgyLj6vz1gjp2psgncusLeEX9Wld1SWDpXat7/Fo23StvHRUrB5fvTat2R7ncmvHRdeYtQgh+jMhEG3imWqllvUIoIv1WJ1hZMTnrmbt8+fPz5joxi8johu1N0f+Ri8ToXFmFOzcf5wp02CLKL5v8+0yGhaj99I6Ph+1aW2b582n9fuc52L7PFSX4rT5+tyW8Fvq8zFUg6+rl0/b1qtLsZRzb0yvzefjz9t4vm/LOWZtC1qMPTsC0SZ+9vrI/zoE0MV1uI06K+JzN7Pmb9oySnbUkzU99VKfTIxMl9r9UWZIN3nfp3MZCRHgx7Z9GmNHjfOmxhtDxddR+fo6lZ+Pq3PV1ZunmHbU+j6u7zf8lvq0no4RzsrHxvscl2oXjj4P1d5rUy7tUZgrXtu/9hqzthYpxmVAINrEM9RIDdsRQBfbMRt5RsTnbmbtr7/+uvz2228//d+E3hgYSHq6ZGZEff5mb+2vX79+/j8yZfRsrm70MjL2T0fYTV9mRyT4eH6++nVUvHa+9cvEaC0fx8eXYVFMf1QM1Wl9c4bI4izht9Tn19R5D+dePm1ba/SMC8NHGPVq77Upj/YozDFrLTJcg8A8AtEmPj+TnswIoItc7EZ87mbWRoFNRuVWQzBKPeTxTwR4svZPTGjJi0C0ieetnMqWEEAXS+icry/iM41Za58K+adh56ONjJcQwKwtoXNbn39Sak+W9VRVUXtPh5eeMGsex+sRiDbx6yMz88wIZNeFHrz0PuE6M29zuUd8pjFr/iaCUZuTQ452zNpxPNpH49582XvJGza79u8vfbTt5xyXXc3I0SZeExWqzqwL22P8p2N6GJN5n4n4TGPWeOvWQQCzdj+u9aTNGzS/un5J8t/N9P2c345AtInfvgIRzohAZl3YfuL3FO0zc/vQGflrc474xKy1iHE9PAKYtftRJLM29xtthU30fmj3V4o28f4sWrMjkFkX7RN7u/ZP+DNyG/GJWcvIevKaMGv3I9g2Sf9xRLuyfTzx66+/Pv3lkbaP630QiDbxfVYhytkQyK4L/aJo31lb2oPOxttcvhGfmLU55GgfFgHM2n2o0WbJU7X74D23SrSJz82jPTcCmXXRPkmzjz/NtM3tRRmYjvjErGVguVgNmLXjCZdRm/uOiD7+9N8rOT6rmitEm3hNVKg6qy7m9h7ba/QXkTKyH/GJWcvIevKaMGvHEjy3WWpVjJqQuM8x2sTvkwWrjIZAVl1o/2mfotkvjpk/Do34xKyN9g4knxABzFoI0dUD9L/Izz1R00bKE7WrId48MdrENwdkQgoEMuvC9hdvzLTvzO1LGQiN+MSsZWC5WA2YtWMI14aof4TSH23z1BM1367zzB9PHIP2+qjRJr4+EiMzIZBdF7bnaH+xY2ajZrqM+MSsrXj3mkhMLNyQVoB1hyGYtTuAzBLDIBBt4sMkSiJ3RQBd3BXuwxeL+MSsraAAs7YCpDsOwazdEWyWejgC0Sb+8ARJ4CEIoIuHwH7YohGfmLUV0GPWVoB0xyGYtTuCzVIPRyDaxB+eIAk8BAF08RDYD1s04hOztgJ6b9bevn37/Dl672PR9nN2u9bLfydI/6eLvtBtH7Nam/9ekF3b/Oz/crPwWXvErK1FinEZEIg28Qw1UsN2BNDFdsxGnhHxiVlbwZ7Mmv+yo86tz17eZKlPR5m6NWbNYrWGD7P2M0mYtZ/x4Co3AtEmnrt6qptDAF3MIXPO9ohPzNoKXmXWZJq8MZMRs6dgMmd6aqZ51m5tW82a1luRYqkhmLVSdJcvNtrEywNUFAB0kYv4iE/M2gq+ZbpkzGxK26anYb1/G8bMmo3fatb8eivSLDMEs1aGagpd8b/0A1JNBKKbe01Uzlt1xCdmbQW3rTGzKW3bEWbNYvL6JwKYtX9iQkteBKJNPG/lVLaEALpYQud8fRGfmLUVnLbGzKa0bVs/BpUR682T8dOYFSmWGoJZK0V3+WKjTbw8QEUBQBe5iI/4xKyt4Ls1ZjalbfPfY9N313T0pktGTH3+qO+6aYyftyLNMkMwa2WoplA+BkUDMwhEN/eZaTQPikDEJ2ZtBXGtMbMpvTZrl9GSCbNx/uW/t2ZjXr9+/fSXEexcYxUDs+aR+3GOWfuBBWf5EYg28fwIUGEPAXTRQ+W8bRGfmLXzcls2c8xaWepLFh5t4iVBoejwb0kC0bkQiN7nmLVz8Um2l8sFs4YMKiEQbeKVsKDWHwigix9YZDiL+MSsZWC5WA2YtWKEFy832sSLw1O2fHSRi/qIT8xaLr5LVINZK0EzRU4IRJs4QNVEAF3k4j3iE7OWi+8S1WDWStBMkRMC0SYOUDURQBe5eI/4xKzl4rtENZi1EjRT5IRAtAoRK7AAAA55SURBVIkDVE0E0EUu3iM+MWu5+C5RDWatBM0UOSEQbeIAVRMBdJGL94hPzFouvktUg1krQTNFTghEmzhA1UQAXeTiPeITs5aL7xLVYNZK0EyREwLRJg5QNRFAF7l4j/jErOXiu0Q1mLUSNFPkhEC0iQNUTQTQRS7eIz4xa7n4LlENZq0EzRQ5IRBt4gBVEwF0kYv3iE/MWi6+S1SDWStBM0VOCESbOEDVRABd5OI94hOzlovvEtVg1krQTJETAtEmDlA1EUAXuXiP+MSs5eK7RDWYtRI0U+SEQLSJA1RNBNBFLt4jPjFrufguUQ1mrQTNFDkhEG3iAFUTAXSRi/eIT8xaLr5LVINZK0EzRU4IRJs4QNVEAF3k4j3iE7OWi+8S1WDWStBMkRMC0SYOUDURQBe5eI/4nDVrdkPkBwxG1YAJmx8wQANoAA2ggSwaWLKfs2ZtaRJ9IPBIBHiy9kj0WfveCNiNiBcItAigixaRc19HfGLWzs1vyewxayVpL1t0tImXBaZ44egilwAiPjFrufguUQ1mrQTNFDkhEG3iAFUTAXSRi/eIT8xaLr5LVINZK0EzRU4IRJs4QNVEAF3k4j3iE7OWi+8S1WDWStBMkRMC0SYOUDURQBe5eI/4xKzl4rtENZi1EjRT5IRAtIkDVE0E0EUu3iM+MWu5+C5RDWatBM0UOSEQbeIAVRMBdJGL94hPzFouvktUg1krQTNFTghEmzhA1UQAXeTiPeITs5aL7xLVYNZK0EyREwLRJg5QNRFAF7l4j/jErOXiu0Q1mLUSNFPkhEC0iQNUTQTQRS7eIz4xa7n4LlENZq0EzRQ5IRBt4gBVEwF0kYv3iE/MWi6+S1SDWStBM0VOCESbOEDVRABd5OI94hOzlovvEtVg1krQTJETAtEmDlA1EUAXuXiP+MSs5eK7RDWYtRI0U+SEQLSJA1RNBNBFLt4jPjFrufguUQ1mrQTNFDkhEG3iAFUTAXSRi/eIT8xaLr5LVINZK0EzRU4IRJs4QNVEAF3k4j3iE7OWi+8S1WDWStBMkRMC0SYOUDURQBe5eI/4xKzl4rtENZi1EjRT5IRAtIkDVE0E0EUu3iM+U5m1r1+/Xl6+fHl58eLF5cOHD1cz+ebNm6cYFuePP/64Os6tEz99+nT55Zdfnn7snNd3BDBrKKESAtEmXgkLav2BALr4gUWGs4jPh5q1vc3IHmbNG7WjzJoZQIttP7be3GtvfObWOVs7Zu1sjJHvLQhEm/gtsZl7XgTQxXm562Ue8YlZc6h9+/bt8urVqycTdcQTNZkvGTXMmgN/wylmbQNYDD09AtEmfvoCKeAqBNDFVbANOyni8y5mrfe0qmdc7CNMezqm8Xrq5E2U2gxx/yTNjM/vv//+08eg/gmWPhb1c5ZiWTz7CNLytJePZX1m6iwve/n8bB2L6+c+DZrGvX79+immjdli1t69e/cUs81LsZfyszHtej5n4WC5q7aPHz8+rac+raPj0no+9hIeirX1iFnbihjjz4xAtImfuTZyvx4BdHE9diPOjPg83Ky1N3UzA9Z2q1nzpstitj9mEvwYmQ4ZktZM+bGKpTEyOmrXUebSiG/HaO6cKDReefXG9TDS2t4sKpb6dOzlp/W8oVJbbz31+fy2rKdcIjx8/OgcsxYhRH8mBKJNPFOt1LIeAXSxHqszjIz4PNSs9QyBB03moL2RywzIKPTiyHSZGbBze/XaZBZlbtprn483bDbOXsrR1lGbX0dtyrmtxcf35xqvGn2fzntrK3+t0xuzlJ/W62HqY2mcctHRj1HtS+spT83f44hZ2wNFYpwFgWgTP0sd5LkvAuhiXzwfHS3i81CzZsXLXOgJizcBuvG3N3QbY+M1tmcsNEYmzNbyZssMhL38GvbRno33Bu9p0PQfP19GRPn7HNfm42O358pfNbb9du1zt/Ne29b8tF6vBq03h4+tv3U9z89TATv8B7O2A4iEOA0C0SZ+mkJIdFcE0MWucD48WMTn4WbNEPBPXrwJkznwRsjGt0amZyw0xpsBb7Zk1vxcfafNfzzoGfLzrzVrMkM+bu9c+S+N7+HTtm01T1rP46K2NnYv72vX68W6tg2zdi1yzDsjAtEmfsaayPl2BNDF7RiOFCHi83Cz9vnz52c8dKOXWZI5aJ/kyMhonDdRMhaK5ed6UyizZov7dm8WnxObTvw6Ft9ePke1+XhqU87Kr43dXq8Zr7W9mW3bdG11KZel/JYwVSy/Xpu3xqxdby0e7TpL15i1JXToy4ZAtIlnq5d61iGALtbhdJZREZ+HmjX/9MZu7vrRDdybI+vTUzJvNjRHx7m56tfRYujVruP7NMaOfpyMj7XLWCm2jsrXj1F+Pm7vXDGXxssYefPUa1Ms5aWjz28Npr3YS7lrHR39esppqb5e7DVtmLU1KDEmCwLRJp6lTurYhgC62IbX6KMjPu9u1vwN3cDzJsL36WZvRsCeBtlHmHbux3hzZX02R/O82bJ11O7nt+T5eO18u5Yp0Vp+vuLbcc1rzfieeeq12XpRfjZGa1r+PUznYvfqidbTWmvx6K0x14ZZm0OG9owIRJt4xpqpKUYAXcQYnWlExOehZm0UoGRCzKTMPVUbJVfyiBHArMUYMSIPAtEmnqdSKtmCALrYgtb4YyM+U5u19mPYpadq41NJhkIAsyYk9j/6X2zslxv/EbxW80/De0+ZNY7jPghEm/g+q4wTxX/CgQbnecmsizX70Dwy5+yJ+Ext1owyfVyHUTungHtZY9Z6qOzT9p///Ofpu5uKZh9j639KsTYzat7A6cZq7zNexyAQbeLHrPq4qKY5/wmIactrDg1+5yazLqJ96HHqPG7liM/0Zu04aIn8KAQwa/dDvr0x2o2z/cXHbq5HfDfxflWOvVK0iY+d/e3Ztb8QoMHvmFbSRbsP3a6q8SJEfGLWxuOMjAIEMGsBQDt16ybpjZg+ntCTNF37JyE7LU+YCYFoE88OlHQojUlz1TVYRRfi3+9DGTUf8YlZy8h68powa8cSbDdB+66Q/egG6Vf03wX1H0/5MZzvh0C0ie+30piRTIP+o3jLEg1eLtl1Ee1DY6r1+qwiPjFr12PLzAchgFm7D/C6IfobpZ5qyMTZ0UydnnLcJ7Naq0SbeGY09FRFerNa0eB3xqvoorcPZdR8xCdmLSPryWvCrN2PYN0szYxp02w/jrA+b+jul12NlaJNPCsKXnuqEQ0KifxP1n5U+uMfrM/8S2H0PseseUVwfgoEMGv3o8nfMHWjbDdMe+rBx6HHcRJt4set/LjIXnc+CzT4A41KupjTww80zn8W8YlZOz/H5SrArB1Huf+4yVaxp2j+qZkZNW/MdPNsn7Ydl2G9yNEmng0RfczZ/lKgOtHgdyQy6yLah6SFTMeIT8xaJraL1IJZO4Zo/faq/7nAjt6oaVW7WfoxGDUhc8wx2sSPWfUxUXsalNa8ztBg3o9Bexro7UOPUehxq0bvc8zacdgT+SAEMGsHAUvYIRGINvEhkyapwxFAF4dDfNcFIj4xa3elg8X2QACztgeKxDgLAtEmfpY6yHNfBNDFvng+OlrEJ2bt0Qyx/mYEMGubIWPCiRGINvETl0bqNyCALm4Ab8CpEZ+YtQXS7EuO9n0J+/M6b9++ff6ejv7cjn2HQt+naL8M2/vc3X9p0sf++PHj05e2/XcyfGz/he6FdMt0YdbKUE2hl7zfTYLc2xCIbu63RWf2vRGI+MSsLTCi/ytJhiw6yowtzZOp640xg6b/u65dC8P2gyjM2g8sOMuPQLSJ50eACnsIoIseKudti/jErC1w6w2VTJaeeMk8+Sdo7Rj9HyzegKnNx/ZP1PwTN5tnL63pxy2knb4Ls5aeYgp0CESbuBvKaSEE0EUusiM+MWsLfMtQyZjZUDNk9tRLH4VamzdT3rx5cyUTpliKbbH0RM7Hap+stWsupJ2+C7OWnmIKdAhEm7gbymkhBNBFLrIjPjFrC3zLUMlg2dC9zZqPbfFl/DBr88Rg1uaxoScfAtEmnq9iKlqDALpYg9J5xkR8YtYWuLzGrFk4GS595Ln0MWhr1mQGNXchvbJdmLWy1JcsPNrES4JC0Rd0kUsEEZ+YtQW+rzVrmtd7OqaPPDWmNWv+Y1Q/vx23kHb6Lsxaeoop0CEQbeJuKKeFEEAXuciO+MSsLfDdM1R68jX3nTWFa01Xa7Z6sTXXP4nzhk1GT+OqHjFrVZmvWXe0iddEharRRS4NRHxi1nLxXaIazFoJmilyQiDaxAGqJgLoIhfvEZ+YtVx8l6gGs1aCZoqcEIg2cYCqiQC6yMV7xCdmLRffJarBrJWgmSInBKJNHKBqIoAucvEe8YlZy8V3iWowayVopsgJgWgTB6iaCKCLXLxHfGLWcvFdohrMWgmaKXJCINrEAaomAugiF+8Rn5i1XHyXqAazVoJmipwQiDZxgKqJALrIxXvEJ2YtF98lqsGslaCZIicEok0coGoigC5y8R7xiVnLxXeJajBrJWimyAmBaBMHqJoIoItcvEd8YtZy8V2iGsxaCZopckIg2sQBqiYC6CIX7xGfmLVcfJeoBrNWgmaKnBCINnGAqokAusjFe8QnZi0X3yWqwayVoJkiJwSiTRygaiKALnLxHvGJWcvFd4lqMGslaKbICYFoEweomgigi1y8R3xi1nLxXaIazFoJmilyQiDaxAGqJgLoIhfvEZ+YtVx8l6gGs1aCZoqcEIg2cYCqiQC6yMV7xCdmLRffJarBrJWgmSInBKJNHKBqIoAucvEe8YlZy8V3iWowayVopsgJgWgTB6iaCKCLXLxHfGLWcvFdohrMWgmaKXJCINrEAaomAugiF+8Rn7NmzW6I/IDBqBowYfMDBmgADaABNJBFA0v2s2vWlibQBwIgAAIgAAIgAAIgcD8EMGv3w5qVQAAEQAAEQAAEQGAzAv8HdO1hi89PLE8AAAAASUVORK5CYII=[/img][br]How many students prefer typing notes and study for less than 1 hour?

[size=150][size=100]Explain what it means to have a strong negative relationship in this context.[/size][/size]

[img]data:image/png;base64,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[/img][br]What is an equation of the line of best fit?

What is the value of the correlation coefficient?[br]