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 <question type="category"><category><text>4t ESO/4.04 EQUACIONS/4.04.3 Sistemes/4.04.3.5 Aplicació sistemes</text></category></question>
 
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      <text>4.04.3.5.10 TEORIA INTERSECCIÓ RECTES</text>
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<td style="background-color: #000066; background-image: none; color: #ffcc00; border-color: #000066; text-align: center; vertical-align: top; border-style: none;" valign="top" width="NaNpx"><span style="font-size: large; color: #ffff99;" data-mce-mark="1">Punt d'intersecció entre 2 rectes</span></td>
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<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>L'equació explícita d'una recta és y = mx + n.</strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Per determinar les coordenades del punt d'intersecció de dues rectes (x<sub>0</sub>,y<sub>0</sub>), només cal resoldre el sistema de les dues equacions.</strong></span></p>
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      <text>4.04.3.5.11Q Intersecció de dues rectes</text>
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8Sfnl/wSA/4K5/FTw18U2/4Jcf8FO4NX+H/AO1Z8O9STwJ8MviT47mWKf4myWcSLo3gjxvrk00lpqfjbUdONrc/Dz4g291daR8X9HnsFbUbrxfdaZqHjz+qCvx3/wCCtn/BIr4T/wDBS34aLrGnvYfDj9qr4eaTOfg38Z7eOa2Z3tpX1G18B/EFrBDeat4I1DUC72d9HHca34F1S7m8QeHFnin17w/4k/0H+jx9Izw/4x8OqX0Rfpc1sdjfBDF4zE4nwm8V8NhnmvGn0YeNczaj/b+QxlJYrOPDHNcS6b474DjVVKrh1UzjJIUc2oWxHx+cZNjMNjXxDw8oRzSMYxzDL5S9nhc8w0P+XVX7NPHU43+q4u107U6t6b0/Yivzz/4KD/8ABQf4efsMfDy2lltovHXxy8dRS2Pwh+EVjJLLqfiDU5ZfsUGu69BZb7+w8IWF+6QzTQot/r1+o0LQg1413d6Z/Pv+yL/wXG/ak/Zc+HXxi/Y6/b7+CHj/AMT/ALYv7PENl4N+GPie/tg6fEm9ufs1j4c0z4p6nDdrca1eWthdWHiTR/iF4S/thPiv4OltbqS4h8QXMHijxX+qH/BPX/gn38Q7/wCIVz+3x+3tcS+Of2qfHcsWveC/CGupFNpnwX0qaFTpL/2SA9hp3i2xsXSz0TRLRBY/D3T1SC3VvEslzPpX8gfSB8JuJ/AbxU4i8IM1zbhfiLN8mWXY3D8VcHZ5gOJeE824az/LcJnfDXE+U5lgK1SNXD8Q5DmGAzbLcFio4fMKVDGUnj8Lh2uWX9neBvhrwZh+A8J9I7x5w2Z4Lwrhi8XhOBfDznq5Rxf44cXZTVdLF8PZRKcViMp4HyTGxVLjnjenCdDCwUslyKeKz3EpYJ//AAT4/wCCfHxDvfiHc/t7ft7XMvjr9qvx1LFrvg7wdrsUUumfBTTJYv8AiU/8Sn57Cw8W2Fg8dpoui2ka2Hw8sFW2tlbxK1zc6X+4NFFfluDwdHBUVSpczbbnVqzfNVr1ZfHVqzes5ye7eiVoxSikl+Y+Lni5xd4z8XVeK+K6uEoRoYTDZNw3w3k2Gjl3C/BfC+XRdLJ+FOFMnpP6vlOR5Th7UsPh6SdWvVdbG42ticdicTiapRRRXUfl4UUUUAFFFFAHwV/wSr/5Rf8A/BN//swr9j//ANZ6+HdfetfBX/BKv/lF/wD8E3/+zCv2P/8A1nr4d19613Zn/wAjLMP+w7F/+pFQzo/wqX/XuH/pKCiiiuE0CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr89v8AgoH/AMFBvhx+wz8PraW6t18cfHDxzDPY/CL4Raa7z6r4h1WRms7XW9dgtGN9p3g+z1Jore5uoU/tDWrzOi6BFPe/ap9OP+Cg/wDwUE+H37DHw5triW1i8c/HDxykmnfCH4RWMzy6p4h1SZzZw67rlvZFtRsvB+nXzJFc3EEYvdbv/L0HRM3s1xd6d8j/APBPj/gnx8Q734h3P7e37e1zL46/ar8dSxa74O8Ha7FFLpnwU0yWL/iU/wDEp+ewsPFthYPHaaLotpGth8PLBVtrZW8Stc3Ol+TjMZWqVv7Py+zxbSdeu1zUsBSl/wAvKi2lXmr+wobyfvztTXvf1d4R+EfCOQ8I0/pAfSAp4vD+FuHxeJwvAfAeFxLy7inx14py5r2uSZJVs8RlPAmU4h01xtxsqbp4Sm3kmSPE59iUsF+ffjj/AIIe/tF/t3/s+/Fj47ftPfG/xD4K/bi+Lw03xf8ADvRpmhtfBvgix0m2d9F+HnxGsbCznvdMsdcsjZ6W2n+FXtpPhrDaabNJa+Jb6HXfD9103/BID/grr8U/DnxSf/gl1/wU8g1b4fftXfDvU4/Afw0+I/juZIZ/ibJaQxjRvA/jfWpJZLHUvG2oacbW5+HvxBt7y60j4waPc6cp1G68X3Wm6j48/qfr8ff+CtX/AASN+E//AAUt+GKalYPpnw2/an+H2nSSfBz41wW0lvNvtZJb+28BfEGfTom1HVvAeoX7vLa3MSXOs+BtWuZPEXhpJkn1/QPEv98fRZ8XfBit4fZt9E/6TOTYbDeD/GXEOI4n4Q8aclyPCV/EXwI8UszwWCyp8dSxOGo0sx4w4HzbD5flmB464RxuIrVKmU4HD4zIpYfHZfh6NT+dvHjxJ4/8ZOOP+Ik47FYajj8uy7C5BknBGWQ/s3gvIeCcrc45PwVwpk0JPCZBluTUJzjlvsI+0rYidfFZlVxWMxmKxVT9gqK/lu/4JNf8FfPib4U+Kz/8Evf+CosGofDr9rT4datB4A+HvxR8Z3VvHbfFaWKO3Tw74S8Za40zWN9441nT5rK48A+P7W5utF+L+lXWnF75/GN3Y3njn+pGvxP6Q30d/EP6NXH9Xgbj3DYLFUMdgMNxBwVxpw/iY5pwV4j8F5mva5HxrwTn1FfVc4yDOMK4VqVSnJYjB1XUwOYUMNjaFahD4XJ85wed4NYvCOcXGcqOKw1aPs8VgsTDSrhcVSfvU61OV009JK0oOUWmFFFFfhJ6oUUUUAFFFFAHwV/wSr/5Rf8A/BN//swr9j//ANZ6+HdfetfBX/BKv/lF/wD8E3/+zCv2P/8A1nr4d19613Zn/wAjLMP+w7F/+pFQzo/wqX/XuH/pKCiiiuE0CiiigAooooAKKKKACivgr/h2/wDs9/8ARQ/29f8Axap/wVA/+jArzP4K/wDBMPwP4Y+Dfwl8NfGr49ftzfEz4yeHvhn4D0P4tfEfSv8Agpz/AMFMfDWl/ED4m6T4W0qw8eeN9N8OaV+1lpel6BYeK/FNvquvWeiabpmnWGlW9/HY2dhZ28EdvH6Co5Y4Sl9dxialGKg8uo88lJTbnH/hS5eWHIlK8lK9SHLGS5nHPmq3S9nDZu/tHZWtp/Dvd3dtOmtj9QaK+Cv+Hb/7Pf8A0UP9vX/xap/wVA/+jAo/4dv/ALPf/RQ/29f/ABap/wAFQP8A6MCp9nlv/QXjv/Ddh/8A55jvV/kh/wCDJf8Ayr1/p6fetFfBX/Dt/wDZ7/6KH+3r/wCLVP8AgqB/9GBR/wAO3/2e/wDoof7ev/i1T/gqB/8ARgUezy3/AKC8d/4bsP8A/PML1f5If+DJf/KvX+np960V8Ff8O3/2e/8Aoof7ev8A4tU/4Kgf/RgV5n4D/wCCYfgfSfFPxqv/AB58ev25vFfhbxP8TdK1z4K6DZ/8FOf+CmOlXHwz+GVv8G/hL4a1XwRqt9Z/tZWdx4lv7/4yeHvi18R49b1W41S/g0v4gab4cjv49L0DTdM06o0cskpt43GR5IqSUsvo3qNzhDkhbMmuZKTm+ZxjyQn73Nyxkr1dPchq/wDn49NL3f7r5etu7t+oNFfBX/Dt/wDZ7/6KH+3r/wCLVP8AgqB/9GBR/wAO3/2e/wDoof7ev/i1T/gqB/8ARgVPs8t/6C8d/wCG7D//ADzHer/JD/wZL/5V6/09PvWivgr/AIdv/s9/9FD/AG9f/Fqn/BUD/wCjAo/4dv8A7Pf/AEUP9vX/AMWqf8FQP/owKPZ5b/0F47/w3Yf/AOeYXq/yQ/8ABkv/AJV6/wBPT71r88/+Cg//AAUH+Hn7DHw8tpZbaLx18cvHUUtj8IfhFYySy6n4g1OWX7FBruvQWW+/sPCFhfukM00KLf69fqNC0INeNd3emfBn/BQfRP2OP2F/h1bXE3jr9vDxz8cPHMcun/CL4R2X/BVn/gqJLqXiDVJZPscOu67BZftgtf2PhDTr544rieBBfa5f7NC0PN5Lc3em+G/sSf8ABGb4keNvF3gf9pf9vT4i/FPxVrmseAvE1xZeBpv2h/2ndB+Pnwy8Vx+IPhhqHwS8QJ+0X4V+MGj/ABij1Lwt4Q0/4q6F4i8M6v4/1aW0j8S+EIbq8u9X0fVltfHxuIw9TERy7K8VXliZe9jMTWwVKNLLsPyuXtOWGOqqti6qXLhcLJ0ozm1OrUp0k2/6v8IvCThXIOEIfSB+kBQxNDwtw+LxGF4C4BwmMnl/FHjvxTl84qrkeS1XTWIyngPKcQ4LjfjeNOVPCUebJcj+s59iVHBfV3/BPr/gnt8QdQ+Idx+3t+3xcS+O/wBqrxxPD4g8G+Dtdjjl0z4Kac8edHJ0kbrCx8W6dZNFa6JolrGNP+HlkiQWyN4mNxc6V+4dfBX/AA7f/Z7/AOih/t6/+LVP+CoH/wBGBR/w7f8A2e/+ih/t6/8Ai1T/AIKgf/RgV3YPL8nwVFUqWLzBttzq1Z4ChKrXqy+OrVm8zvOcnu3olaMUopJfkHi54vcZ+NHFtXiviyeBoQw+Ew+T8N8NZNT/ALO4X4L4Xy+Psso4U4UyelT+r5TkeVYf91h8PSTq16rq43G1sTjsTicTU+9aK+Cv+Hb/AOz3/wBFD/b1/wDFqn/BUD/6MCj/AIdv/s9/9FD/AG9f/Fqn/BUD/wCjArq9nlv/AEF47/w3Yf8A+eZ+X3q/yQ/8GS/+Vev9PT5i/wCCvP8AwSG+F/8AwUy+FyavpL6X8O/2qfh3pVx/wqH4vC3aGO/igklv4vh18RJbGJr/AFLwPqV9JNJp9/Etzq3gTWLybxBoMN3b3XiHw94k/Oz/AIJD/wDBXj4oeEPihJ/wS8/4KiR6r8O/2qPh3qsPgL4Z/Ezx7LHbt8Smt44YtC8D+N9deV7HUfGeo2D2lz8O/iNBd3Oi/F/RbnTlfU7rxfdaZqfj39sP+Hb/AOz3/wBFD/b1/wDFqn/BUD/6MCvzV/4KQ/8ABvx8A/2rvhLrOsfBLXviroP7W+hp4dX4c/Fr9oH9q/8Aau/aDsJNE0jWnutS8BeILr46fE341ano/hm90/U9cvtJl8I2Wl6hpni7+ytQkuZdJbWtN1L/AEH+jx9Ifwv4y8O6P0Q/pbZhnGP8EsZjq+I8JvFWnldLG8Y/Ri40zScYPPsiq/X6+KzPwxzXEOD464FXNQq0VLOMnhhs0oN1/j84yfMMNjXxFw/ClDM4wUcwwHtXHDZ5hqa0pVV7OMaeOpq6wuK0adqdTmg7L+h+iv4hP+CWHx+8Oy/HfxF/wTo/4KteNv26/hh+15oPiu48PeBPiDqf/BTD/gop8PvD/wAQdRvHW40vwBrejeDf2rdC8AaNr19a3FtP8LPEnhDT7HwT8SfD91pOnaaqeIpNGu/HX9Q3/Dt/9nv/AKKH+3r/AOLVP+CoH/0YFfzj9Ir6OPGP0ZvEGtwHx9U+t0cbgMNxDwXxpw9Qw2acFeI3BmZx9rknGnBWe0syWGzfIs2wzjUp1KbWIwdf2uBx1HD4yhVpR9rJs6w+d4NYvCJRcZyo4nDVpSp4rB4mGlXDYqk6fNTq03dNPSStKDcZJn3rRXwV/wAO3/2e/wDoof7ev/i1T/gqB/8ARgUf8O3/ANnv/oof7ev/AItU/wCCoH/0YFfg3s8t/wCgvHf+G7D/APzzPWvV/kh/4Ml/8q9f6eng3/BRbwN8LfEfxv8A2Y/En7Tf7OXjn9p79lnw/wDCX9rDRNd8A+DP2a/iV+1X/Yv7Q/inVP2a7n4HeM7z4afC7wP4/wBe0PUbP4feGf2ivDHhj4n3WjWOmeCdd8WW6yeI/D13rVnqcH2x+xd4e+JnhL9jr9k7wp8amvn+Mnhn9mn4E+Hvi0+pzi51JviZovwu8K6b48bULkEi4vm8U22qm7nBIlnMkgJ3V5B/w7f/AGe/+ih/t6/+LVP+CoH/ANGBR/w7f/Z7/wCih/t6/wDi1T/gqB/9GBXfVxWX1cDhsC8Rj1HDybUngqEl/ExFRezp/wBpJUpSeJkq0lKXtlSw91H2XvZqFRVJVOWneW/vy7QWr9nqlyXjpo3L+bQ/4JV/8ov/APgm/wD9mFfsf/8ArPXw7r71r8NP+Ca37AfwL8Zf8E5/2A/F+r+O/wBtaz1bxV+xT+yv4k1O08K/8FKf+CjHgTwva6jrnwL8Cane2/hvwP4H/ao8PeC/BugQXN1LFo/hXwhoGh+F/D2nLb6RoGj6ZpNnaWUH2t/w7f8A2e/+ih/t6/8Ai1T/AIKgf/RgVOZQy7+0cfzYrGp/XcVdLL6DSft6l0m8yi2k9m4q+9lsFJ1PZU7Qhb2cP+Xkl9ldPZv8/mfetFfBX/Dt/wDZ7/6KH+3r/wCLVP8AgqB/9GBR/wAO3/2e/wDoof7ev/i1T/gqB/8ARgVxezy3/oLx3/huw/8A88zS9X+SH/gyX/yr1/p6fetFfBX/AA7f/Z7/AOih/t6/+LVP+CoH/wBGBR/w7f8A2e/+ih/t6/8Ai1T/AIKgf/RgUezy3/oLx3/huw//AM8wvV/kh/4Ml/8AKvX+np960V+X3gP/AIJh+B9J8U/Gq/8AHnx6/bm8V+FvE/xN0rXPgroNn/wU5/4KY6VcfDP4ZW/wb+EvhrVfBGq31n+1lZ3HiW/v/jJ4e+LXxHj1vVbjVL+DS/iBpvhyO/j0vQNN0zTvTP8Ah2/+z3/0UP8Ab1/8Wqf8FQP/AKMCqnRyyLSWNxk7xhK8Mvo2TnCM3B82ZRfNTcnCenLzxlyylG0mk6r+xBav/l4+jtf+F13Xla9ru33rRXwV/wAO3/2e/wDoof7ev/i1T/gqB/8ARgUVPs8t/wCgvHf+G7D/APzzHer/ACQ/8GS/+Vev9PT6Z+M+tfHjQ/C9hd/s8/Df4R/FHxpJr9rb6noHxn+NnjL4DeF7Pwu+napLe6xYeL/BHwA/aO1bUtft9Wh0SytfDdx4H0rTrzTtQ1TU5fFVjc6PaaRrn5F/Gr4Xf8FAda/4KA/sVfF3xj8FPgj45+G/gj9un4gW3gTxj4H/AGj/AI1X8vwl/Zo1n9j39sTwPc614/8AhIv7HMXhDwF4m8S6T4i0rX/E/i/U/jJ4x07xj8erf4Ofs96V4h8H+DPF9l4+8J/uhRVYPH/U1U5cLh6kquHxWGlUqPEKpyYqjKjKzhXhGLhGckuWEeeMpRqcyasp0+e15SVpRkkuW14yUlvFvVrq3boFFFFeeaBRRRQBgeKrnxRZ+F/El34H0fQPEPjS10DWLjwhoHirxJqPg3wvrniiDTriXQNH8SeL9I8K+O9W8K6BqerLaWWseJNM8D+MtR0PTp7jU7Lwr4hubWLSLz8EP+Cm3w0+IXxr+GOlx+K/2VFs/wBuu/8AhvNafCzxV8M/hz+0B+2z8I/Dt7aeKfiS9h8PP2b/ANpfR/C3wY0z9hf9pbWpF+H3iPU/2z/jF+z/AOAfCvg211/RtA+1fGnSvh2bzwL/AEHUV6GXY95fXp4iFJSqU5qcZqpUpzaSf7qWsqMqE5W9rCVFzlFOMKlNtSWdSn7SLi3o1a1k1f8Am2vzLp71u6ewUUUV55oFfnn/AMFB/wDgoP8ADz9hj4eW0sttF46+OXjqKWx+EPwisZJZdT8QanLL9ig13XoLLff2HhCwv3SGaaFFv9ev1GhaEGvGu7vTD/goP/wUH+Hn7DHw8tpZbaLx18cvHUUtj8IfhFYySy6n4g1OWX7FBruvQWW+/sPCFhfukM00KLf69fqNC0INeNd3emfJX/BPj/gnx8Q734h3P7e37e1zL46/ar8dSxa74O8Ha7FFLpnwU0yWL/iU/wDEp+ewsPFthYPHaaLotpGth8PLBVtrZW8Stc3Ol+TjMZWqVv7Py/leLaTr12ualgKUv+XlRbSrzV/YUN5P352pr3v6v8I/CPhHIOEaX0gPpAUsXQ8LaGLxOG4C4Cw2Jll3FHjtxRl0l7XJMkq2+sZTwHlOI9nHjfjeNN08JSbyTJHic+xKWCZ/wT4/4J7/ABGvfiPcft8ft7Xknjn9qfxy0eueDvBeuwRS6b8FdPmQHSXOmZexsPFmnaeyWWh6FZxJYfDyx/cQCTxK89xpPvP7ZniXUpPhh42/4bL/AGHtP/aE+EOjfGfwzY/Ab4Yfs86h+0X+2JefFiS/j+IWlaX4w/aw+AXgr9lPQ7TwP8NvC2gvpHirxXoMmnftY+DtH8Q3YutD0zxP8R/BPwrbxl+pdFerlNPD5SoKFKdVqcatSv7etSxdSrzKVSr9YpyT9rWScJTnCpywbVOMGoyj+PeL/i3xd41cWVeKuK62Dw8KGDw+S8N8NZPhKeA4W4M4Xy6LpZPwpwtk1P8A2fK8jynDtU8Ph6X72vVdXG46tisbicRiKvx1+wH4R8O+Bf2S/hX4b8Jz+N38P28/xD1HT9P8e/CL4t/ATU/C48Q/FLxt4iuvAnhz4N/HXw34S+K/w6+Fvw8vdVuPAvwV8NeL9DgubP4PeHvAp0291nRJNN1rUPsWiit8RWdevXrvmvWrVKr53GUr1Jym+aUYU4yld6uNOEW7tQivdX5hFcsYx/lSWistFbRXdvvfqwooorEYV5HrGtfHiD4w+FdE0D4b/CPU/gDeaBcXHjj4max8bPGWh/GHw94oWDxI1po/hX4G2XwA8Q+C/GWgT3Nr4QiuPEmr/tDeBNRtYNc8SXEXhW8k8K6Za+MvXKKuElHm5qcKl4SilN1FyuSsqkfZzg+eD96Kk5QbXvwmtBO76tap6W1t01T0fW1n2aP5Zf2kP+CFHgz9snTv+Cg1rbL8QPAf7QvhT9r7QPFf7MP7RPxY1Xxx4k1X4neHLr9gj9iA6/pPirxr4okv9W8bfCnV/jNp3xJ0ez1fw1Jd6V8IvHek+J9F8Aabpml+H/Efw8vqv/BIT/grz8TvCnxOf/gl5/wVAj1T4dftU/DnU4PAHw0+JXj6dIJfiXJbxwxaF4H8ca5LNJY6j421Gwezn+HvxCgvLrSPjBo91pwbUbrxddabqXjz+qSvxq/4K9f8Ehfhh/wUw+GEes6NJpfw6/as+HWlzn4RfF0QSQRahFA8t/F8O/iLLYRPfaj4J1G+eSXTtRijutY8CaxdS69oMV1a3XiHw94j/wBDvo/fSS8P+POAqH0Sfpf18bi/BHGYl1fCnxZw2HlmnGv0Y+NcZSpYf/WDI3NvFZv4Z51iYU58ecC+09hOlKpnOTQoZpQ/f/HZvkmLweLfEHDijHM4q2Py9v2eFzzCxbl7Gr9mnjqUW1hMVa97U6l4PT9laK/lc/4JC/8ABXr4n+FfifJ/wS+/4Kgx6p8Ov2qvh1qkHgH4a/Erx9OkEvxLlgSKLQ/A/jjXJZXsdR8bajYvZ3Hw9+IVveXWj/F/R7rTgdRuvF11pupePP6o6/mf6RX0dfEL6M3iFX4C49oYLGUMZgsNn/BfGvD+IWZ8F+I3BeZx9tkfGnBWeUk8Nm+RZthnCpCdKXt8FX9rgcdSoYyhVpR9zJs5wed4NYvCOUXGTo4rDVo8mJwWJhpVw2JpP3qdWnLRp6SVpwbi0wooor8GPWPwk8FeFNX8a/8ABAf9hDQNP8HeIviLobfsrf8ABKfWfin8PfCfhfWfHHiHx9+z94X1n9lnxP8AtJ+CNM8DeHbLUtf8dS+Lf2f9H+JXh+XwRounX+qeMLbUZvDdjZXdzqccEn17/wAE3PCGheFPDP7T03wz+EviX4Gfs5eKf2pb/wAR/sw/CvxN8GfGH7O83hb4Wr+z5+zx4c8XNo3wO8feFfA3i34aeG/EP7Q/h744+KtE0DVvB3hsXFprg1zTtJtdK1exU9T/AMEq/wDlF/8A8E3/APswr9j/AP8AWevh3X3rXu5jjpQlmmA5G41M0xtVyc3yLnxFJt+ytZ1YvCxjTq814U6uIp8r9rePPShdUanVUYLbX4X9re3vO8batRd9LMooorwjoCiiigD89fgh8HNY+Hf/AAUW/bV8bx2vxQ1Hwf8AFX9mL9iPVrbxp441nxl4l8Laj4/0344f8FGbrxh4I8A6rr89x4Z0Ky+HvhHxF8Lobn4deCBptj4X0XxB4U17WdJ/tjxrPr/iH9CqKK6MTiJ4mqqs/iVHDUd27xw2GpYaLu+8aSdtley0SJjFRVlteT/8Ck5fm/nuFFFFc5QUUUUAFFFFABRRRQAUUUUAFfAX7fX7fnw6/Ye+Htrc3dsPHXxt8chtM+D/AMHNKkkn17xbrVxL9htdS1K1slm1Cw8KWd+8cN3fRQNdand7NE0SO51SfFvU/wCCgf8AwUF+HX7DHw8tri4tovHfxv8AG6NYfCT4P6fcO2r+I9Rnm+xRa3rUNms1/p3hGwvSIprqOA3et36roWiLJfSXFxp/yj/wT3/YG+JN18Qr39vX9vK5fxt+1X48K6t4K8H65GJ9O+Beh3KyPp1vbaXI81lpXim1sZxZ6Vo1mgtvAGnF7OF38RXepT2XlYvGValb+z8A08U0nXrtc1LAUpbVKi2lXmv4FDeT9+dqa1/qrwn8I+Fch4Pp+P3j5SxeH8L6GMxGF4C4Ew2KeW8T+OvE+Xyj7bJMjq2eJyngTKa7prjfjeNJ0sJScskyOWJ4gxEY4KH/AIJ//wDBPT4iT/Ei9/by/b3uv+E7/as8bzx654Q8HauIrrSPgnp0sQ/stV04GXTrTxZplk6WOi6RYhtN+H9iiwWbTeInnvNN/byiiuvB4OjgqXsqKk7yc6tWbc6tarLWdWrN6znJ7t7K0UlFJL8k8W/Fzi/xn4sqcV8WVsHRWHweGybhzhzJsNHLeF+DOGMui6WUcK8KZNSk8PlORZVQ/d4fDUuarWqOrjMbWxOOxOJxNUooorqPzAKKKKACiiigAooooAKKKKAPxr/4K8f8Ehfhf/wUx+GMWs6PLpfw5/aq+Helz/8ACovi+IJIIr+KB5b6L4efEWWwhkv9S8E6hfySTafqEMV1rHgXV7mXXdAjuba68Q+H/Ef53/8ABIT/AIK8fFHwn8UJf+CXn/BUJdU+Hn7VPw51S38BfDT4l+PrmKKb4lywJHHongbxxrzyyWGpeNdQsHsZ/h58Q4L270n4waRdaeH1K78X3Wm6l48/qkr8a/8Agr1/wSF+F/8AwUx+F8er6O+l/Dv9qr4d6ZOfhF8XfIkhi1CGB5b6P4dfESSxje91LwTqV87y6fqMcV1rHgXWLiTXdBjubW68ReHvEn+hX0dfpF+HvGfh7Q+iH9LyvjcZ4HYzG4jEeFHixhsM8z41+jDxpmUlH+3sh5m8Tm3hlm2JdP8A164F9p7Cph+fOcmhh80w/wC/+PznJsZhsY+IuHVGOaRio5hl8nyYbPMND/l1V+zTx1ON/quKtdO1Oo3B6fspRX8rX/BIT/grz8T/AAl8T5P+CXn/AAVBTVfh5+1T8OtWh8A/DP4l+PJkgk+JTwpFHoXgfxxrksr2Oo+NNQspLOf4d/EK3urnR/i9ot1pivqF14tuNP1Tx5/VLX83fSK+jr4hfRm8Qq/AXHlDBYyhjMFh8/4K414fxCzPgvxH4LzNe1yPjXgrPKSeGzbIs3wrhVhOnL2+Cr+1wOOpUMZQq0o+1k2c4PO8GsXhHKLjJ0cVhq0eTE4LEw0q4bE0n71OrTlo09JK04NxaZ8Ff8Eq/wDlF/8A8E3/APswr9j/AP8AWevh3X3rXwV/wSr/AOUX/wDwTf8A+zCv2P8A/wBZ6+HdfetfimZ/8jLMP+w7F/8AqRUPSo/wqX/XuH/pKCiiiuE0CiiigAooooAKKKKACiiigAooooAKKKKACvzz/wCCg/8AwUH+Hn7DHw8tpZbaLx18cvHUUtj8IfhFYySy6n4g1OWX7FBruvQWW+/sPCFhfukM00KLf69fqNC0INeNd3emP/4KCf8ABQf4c/sL/D+0mubRPHnxv8co9j8Jfg/p07tq3iLUJZvsUeua2lmk97pvhKxvWWCW5jga+1zUAND0OOW7a8utN+Rf+Ce3/BPv4i3/AMRLz9vf9veWXxr+1V45uF1zwZ4M15IZ9M+CulSR40h/7JDTWGn+K7KwZLXQtDth9j+HmmiO3iX/AISh7ubSfJxmMrVK39n5fyvFtJ167XNSwFKX/LyotpV5q/sKG8n787U1739X+EXhHwlkHCNL6QH0gKWLw/hbh8XiMNwFwHhsS8u4o8d+KMvkva5JklT/AHnKuBMpxHs1xvxvGk6WEpN5JkksTn2JSwSf8E/P+Ce/xE1L4iz/ALe/7fN1J46/ao8byW+u+DPBmtwxtpnwU08xg6OzaUhOn2XizT7ExWui6Hawiw+H9oBFEJfFElxdaV+4lFFdmDwdHBUVSpczbbnVqzfNVr1ZfHVqzes5ye7eiVoxSikl+Q+Lvi7xd40cW1OKuK6uEoQw+Dw2TcNcNZNho5dwtwXwvl0XSyfhThTJ6T+r5TkeVYe1LD4eknVr1HVxuNrYnHYnEYmqUUUV1H5cFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfjZ/wV4/4JCfC3/gpl8ME1fSX0n4dftVfD3Spx8IvjAYJYYr6KB5r6H4d/EWTT4pL7UvA+o38jy2OoxQXms+BNWuZte8Pw3VvdeIfDviT4G/4JEf8FY/il4R+Js3/BLf/gqAmrfDz9rf4balD4J+GXxG8e3Uaj4t28UUS6B4R8UeIpJZLHV/G1/p7W1z4A8ewXt3pXxh0S40/Go3PjGW0vPHH6Tft6/Db9pD9o7/AIJg/tueE/jB8LbPwT8ZIvgD+0he/DH4V/se/tC/GT4zH4n6vZfs/wDi6H4b6BqOtQ/Af9mnx34n1LX/AIh6o0EvwW07wRr+geK7nQvCdrqmqeLbDxFrPgm243/gsN/wSQ8G/wDBTL4V6PqHhPUfDHwx/aj+GDPefDD4vahouoXM+paVbw6he/8ACr/E+oaNqumXtt4Y1jXpbK/sfEM9p4nu/Ad+L/VdA0C6fVtZstS/0O8APpAcBcXeG+B+iR9LfH4rG+CeNzbMJ+FvilhaEM34x+i9xnjY4Xk4i4frRrVa2eeF+dYnERjx7wFGccPPDQqZ3kU6GcYdxq/G5tlOLw+NnxDw9CMMzhTh9ewEm6eHz3DRcr0a0WkqOOpRi/qmLtzczVKsnSen1H/wSr/5Rf8A/BN//swr9j//ANZ6+HdfetfyAf8ABAX/AILO2k/hb4L/APBOz9sW0T4YeNdE+G/ww0X9kz4g69pX/CI6N8Q/hVqngrQL/wCDvgDXbe6gsbbT9fu/AF74ak+FfiZI4tL+JXhu40jT5Jf+EwbTrvxx/X/X86fSX+jz4ifRr8T8y4H4/wAJhK9LMKa4j4M4wyPELMuDvELgzNqk8RknGPBueUl9WzbJM0w0oyU6clXwWIVbAY+jh8Zh6tGPtZFnGDzrAU8ThJSThahicPVXJicHiaaUauGxNJ+9Tqwkuuko2nBuLTCiiiv58PYCiiigAooooAKKKKACiiigAooooAK/Pb/goP8A8FBPh/8AsMfDm2uZbWLxz8b/AB0sum/CH4R2MskupeIdVlf7HFrmuQWRbULLwhpt68UVzPBGL7W78x6Dombya4u9OX/goJ/wUF+HX7C/w7trq5tY/HXxt8bq2n/CX4QafcFtX8RalNI1pDrmtQWnm6hp/hCwvdsFxdwwNeaxqHl6FoqPey3Fzp/yL/wT3/4J9fEK/wDiDcft8ft6XUvjv9qnx3JFr/g3wfrkUc2mfBXS54gdIP8AZPzWFh4tsLB47TRNFtI1sPh5YBba2VvEr3Nzpfk4zGVp1v7Py+zxbinXrtc1LAUpbVKi2lXmr+wobyfvztTXvf1d4R+EfCWQcJUvpAeP9LF0PC3D4zEYXgPgPDYh5dxR47cUZe17XI8kqr/aMp4Eymv7Ncb8bqm6WEpSeSZG8Vn2JSwS/wDBPj/gnx8Q734h3P7e37e1zL46/ar8dSxa74O8Ha7FFLpnwU0yWL/iU/8AEp+ewsPFthYPHaaLotpGth8PLBVtrZW8Stc3Ol/uDRRXZg8HRwVFUqXM2251as3zVa9WXx1as3rOcnu3olaMUopJfkPi54ucXeM/F1XiviurhKEaGEw2TcN8N5Nho5dwvwXwvl0XSyfhThTJ6T+r5TkeU4e1LD4eknVr1XWxuNrYnHYnE4mqUUUV1H5eFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB/Lr4m/wCCQvww/wCCmH/BHD/gm3rOjSaX8Ov2rPh1/wAE9v2RT8Ivi6IJIItQig/Z+8A38Xw7+IsthE99qPgnUb55JdO1GKO61jwJrF1Lr2gxXVrdeIfD3iPM/wCCQP8AwVy+Kvhv4py/8Euf+CnkGq/D/wDat+HOpJ4E+GnxI8d3EUE3xOezijTRvBHjTW5ZnstV8bahp5tbn4efEC0vLvSfjDo1xp4/tC78XXOnal47/aj/AIJV/wDKL/8A4Jv/APZhX7H/AP6z18O6+cP+CtX/AASL+E3/AAUu+GiarYvp3w3/AGqfh9pch+DnxrghngkzaTTaja+AviA+no17qvgXUNRllltbuKK51vwPq11L4h8NrPHPr3h/xL/or4G/SM8P+MeDMX9Eb6XNbHY7wRxWdZpifCbxXwuFlmvGv0YeNMzxM4/29kMXJYrOPDHNcS6b474DjV9lVw6nnGSQo5tQUcR8ZmeTYzDV6fEPDqhDNI0aUcwy+UvZ4XPMNCK/dVX8NLHU43+q4u107U6rdN6fsJRX8sv/AAST/wCCwPxQ8NfFiX/gmB/wVEgv/hz+1Z8O9Ut/h/8ADn4oeNpltf8Ahad1AI4dD8H+N9Ynk+w33jbWbCSwuvh78QrS5n0X4xaTd2DNey+LrzTdQ8ef1NV/MX0iPo7eIn0aPECrwJx9hsFiqONwOG4g4L4z4fxKzTgrxG4MzOPtsk404Kz2ivq2b5Fm2GcKtOpTksRg63tMDj6GGxtCtRj7uTZzg87waxeElKLjJ0cThq0fZ4nBYmGlXDYqk/ep1actGn7slacHKLTCiiivwc9YKKKKACiiigAooooAK/PP/goP/wAFB/h5+wx8PLaWW2i8dfHLx1FLY/CH4RWMksup+INTll+xQa7r0Flvv7DwhYX7pDNNCi3+vX6jQtCDXjXd3pj/APgoP/wUD+H/AOwv8ObW5mtE8c/G7x4s+m/B/wCEti8suoeItWZ1tI9b1yKy3X1j4S029mhjuZYEF/rd80ehaIDeS3N3pvyP/wAE+P8Agnx8Q734h3P7e37e1zL46/ar8dSxa74O8Ha7FFLpnwU0yWL/AIlP/Ep+ewsPFthYPHaaLotpGth8PLBVtrZW8Stc3Ol+TjMZWqVv7Py/leLaTr12ualgKUv+XlRbSrzV/YUN5P352pr3v6v8IvCPhHIOEaX0gPpAUsXQ8LcPjMTheAuAsLiZZdxR47cUZdJKrkmSVbfWMp4EynEezjxvxtGm6eEpt5JkjxOfYlLBJ/wT5/4J8fEO9+Idx+3t+3tcy+Ov2q/HMseu+DvB2uxxy6Z8FNMmixpOdJ+awsPFthYPHaaLolpGLD4eWKrb2yt4ma4udL/cKiiuzB4OjgqKpUuZttzq1Zvmq16svjq1ZvWc5PdvRK0YpRSS/IPFzxc4u8Z+LqvFfFdXCUI0MJhsm4b4bybDRy7hfgvhfLoulk/CnCmT0n9XynI8pw9qWHw9JOrXqutjcbWxOOxOJxNUooorqPy8KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+Cv+CVf/ACi//wCCb/8A2YV+x/8A+s9fDuvvWvgr/glX/wAov/8Agm//ANmFfsf/APrPXw7r71ruzP8A5GWYf9h2L/8AUioZ0f4VL/r3D/0lH42/8FeP+CQ/wv8A+CmHwvTV9Ik0v4dftVfDrS7hvhB8Xlt2gS+SB5L6L4efESWxia/1LwRqV60kmn6hEtzq/gTWLqXxBoMV3bXPiHw74k/O7/gkH/wV1+KfhP4pH/glv/wU/g1j4f8A7Vfw81WHwB8MfiT47lWOb4mSW8cMWg+BvGuts8lnqfjPUtPe0ufh58RoLy70f4v6NcacH1O78XXemal48/qjr8e/+CtX/BIv4Tf8FLfhmmqWL6d8Nv2qfh9pkrfBz41wQzW8he1ll1C28B/EGTTka+1bwLqGoO8trdxx3Ot+BtVuZPEPhpZo59f8P+Jf75+jx9Izw+4w8OqX0RvpdVcfjvA/F43E4nwn8VsLhnmnG30YuNczaj/b2QKT+tZx4Y5riXTlx3wHGp7Kth1POMkp0c2oWxHymcZNjMNjXxDw6oQzSMYxzDL5S9nhc8w0P+XVV/DSx1ON/quLtdO1Oq3Ten7CUV/Lp/wSa/4K7fE3wn8UpP8Agl//AMFR4tR+G/7XHw61W28B/Dr4meNpoorf4t7IoV8PeFvF+vtK2n33jfV9PksrnwF4/t7q40T4w6Tdacf7Ql8ZXVjdeOf6i6/m36Qv0efEL6NfH9XgXjzD4LFUMbgcNxBwXxpw/iVmnBXiPwXmcfbZHxrwRn1FfVc5yDOMK4VqVWlJV8HWdXA4+jhsbh61CHtZPnODzvBrF4Ryi4ylRxOGrR9nisFiYaVcLiqT96lWpyumnpJWnByi02UUUV+FHqhRRRQAV+ef/BQf/goP8PP2GPh5bSy20Xjr45eOopbH4Q/CKxkll1PxBqcsv2KDXdegst9/YeELC/dIZpoUW/16/UaFoQa8a7u9Md/wUF/4KD/Dn9hj4e20txbp44+OHjmGay+EXwi0+R5tT8QapI5s7fXdegs2N9p3g+x1Fo4Li5iUX+t3o/sTQUlvTd3Om/JH/BPn/gn58Q9R+IU/7fP7e11J47/ap8dNBrngzwfrcMMml/BXSpYANIP9kKDp9h4usdPaO10bRrSNbL4f2QEMIk8USXV1pnk4zGVqlb+z8v5Xi2k69drmpYClL/l5UW0q81f2FDeT9+dqa97+r/CPwj4SyDhKl9ID6QFLF0PCzD4vE4bgPgPDYmWXcUeO3FGXSXtMkySry+3yrgPKsRyLjfjeMHTwlJvJMkeJz7EpYJn/AAT7/wCCe3xDv/iJL+3v+3xdT+Ov2qvG08ev+DfBuuKkmlfBXTZoWGk79IG6wsvFmnWMqW2h6FaxjTvh5aLHFbI/ijzrrSv3EoorsweDo4KiqVLmbbc6tWb5qterL46tWb1nOT3b0StGKUUkvyHxd8XeLvGji2pxXxXVwlCGHweGybhrhvJsNHLuF+C+F8uTp5Pwpwpk9J/V8pyPKaD9nh8PSTq16rrY3G1sTjsTicTVKKKK6j8uCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACivzM+NPx9k+M/w78OeMfgv+0R+0r+zDaxeIvGng3S/AP/DGWqfDn9qD4/8AxVtfDvhzxB4N8HfCz4eft7fBKxuNT8FWGnXeuX/jLV9C+D11o2p232vVrj43/Cfw/wDCr4k30v0/bePPj18OP2cfhj4m8f8AwV8T/H79oOLwP8ObP4t/D39nDVPhHooufiRd+HNOT4j6t4MvP2gfi38FvBSeCtM8VLqsunxaj46h1x9HkshZ6dqNyJUTtngatOFKU5U6dSrVlReHre0w9alKLavVeIp0aKhom5xrTjDmiqjhJtKFUTbsm0knzK0otPtytyv5NK+tro8e/wCCVf8Ayi//AOCb/wD2YV+x/wD+s9fDuvvWvgr/AIJV/wDKL/8A4Jv/APZhX7H/AP6z18O6+9aeZ/8AIyzD/sOxf/qRUFR/hUv+vcP/AElBRRRXCaH41/8ABXr/AIJDfDH/AIKY/DCLWdGk0v4d/tV/DnSp/wDhUPxd8mSCK/igkmv4vh18RJbGJ77UPBOo38ks2najDHc6x4F1m6m1/QYrq2uvEPh7xJ+dv/BIT/gr18UfCnxQl/4Je/8ABUJNV+Hv7VPw81WHwF8NPiX4+mit5fiTJbxwx6H4G8c65JO1jqXjXUbF7Of4d/EK3urrSPi/o9zpyvqV34uutN1Px5/VNX41/wDBXj/gkL8L/wDgpj8MY9Z0eXS/hz+1X8O9KuP+FQ/F4QSQRX8cDzX0Hw7+IsthDJf6j4I1HUHeWw1GGK61nwJq11Nr2gQ3dtdeIPD3iT/Qr6Ov0ivD3jPw9ofRD+l5XxuM8D8ZjcTifCfxYw2GeZ8a/Rh40zOSj/buQ818Vm3hlm+JdN8dcCqp7CpQ585yeFDNKFq/x+c5NjMNjHxFw6oxzSMYxzDL5S9nhc8w0P8Al1V+zTx1ON/quKtdO1Oq3B6fspRX8rn/AASG/wCCvfxP8KfFB/8Agl7/AMFQY9V+Hn7VXw71aHwB8NfiX48mSCT4ly28caaH4I8c65LK9jqHjXUrBrOf4efEOC7udH+MGkXemq2o3Xi6703UvHn9Udfzd9Ir6OviH9GbxCr8B8e0MFjKGMwOG4g4K414fxCzPgvxG4LzNOrkfGvBWeUk8Nm+RZthnGpCdKXt8FX9rgcdSoYyhVpR9rJs5wed4NYvCOUXGTo4rDVo8mJwWJhpVw2JpP3qdWnLRp6SVpwbi0wooor8GPWPw9/4J9f8E+fiNf8AxIvP2+P29rj/AITf9qbx3JDrvgvwVrUKy6d8EtOljb+y86YzyWNj4q0/T3gstC0O1j+x/DyxTyYnl8TS3NxpX7hUUVy4PB0cFR9lS5m3Jzq1Zvmq16stZ1as95Tk93slaMUopJfqHi74u8XeM/F1XiviurhMPHD4PDZNw3w3k2Gjl3C/BfC+WxdHJ+FOFMnpN4fKsjyrD2p0KFO9WvVdbG42ticdicTiapRRRXUfl4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeEfG79lr9mT9pmLw3B+0h+zn8CP2gYfBsmrS+EIfjd8Ifh/8AFaLwrLry6cmuSeG4/Hnh7Xk0OTWk0fSV1Z9LFq2orpenLeGYWVsIvWPCvhXwv4E8L+G/A/gfw3oHg3wX4N0DR/CvhDwh4V0fT/D3hfwr4X8Padb6RoHhvw3oGkW9npOh6Boek2dppmj6Pplpa6dpmnWtvZWVvBbQRRLv0VpKtWlThRlVqSo023TpSnJ04OTbk4Qb5YuTbbcUm223uKyu3ZXe7tq/V7nwV/wSr/5Rf/8ABN//ALMK/Y//APWevh3X3rXwV/wSr/5Rf/8ABN//ALMK/Y//APWevh3X3rXVmf8AyMsw/wCw7F/+pFQij/Cpf9e4f+koKKKK4TQKKKKAPxs/4K8/8Ehvhh/wUx+F8er6PJpfw6/ar+HWmTn4QfF7yHt4r+OGR76P4efEaWwgl1DUvBGo3rSS6dqEMd1rHgTWLmXX9Aiura68ReHfEv52/wDBIf8A4K9fFHwj8UZP+CXv/BUSPVfh5+1R8PNVt/AXwz+Jnj24hhk+JU0KxQ6H4G8ca60z2GpeNNRspLGb4d/EO2vLzSPi/pNzYLJqVz4uudN1Lx5/VLX42/8ABXn/AIJDfC//AIKZfC5NX0l9L+Hf7VPw70q4/wCFQ/F4W7Qx38UEkt/F8OviJLYxNf6l4H1K+kmk0+/iW51bwJrF5N4g0GG7t7rxD4e8Sf6FfR0+kX4e8ZeHtD6In0vK+NxngdjMbiMR4UeLGGwzzPjX6MPGmZyS/t7IHJvE5t4ZZtiXT/174F9p7CpQ585yaFDNMPav8fnOTYzDYx8RcOqMc0jGMcwy9vkw2eYaH/Lqr9mnjqcb/VcVa97U6l4PT9kqK/z27f8A4L4/8FhP2H4V/ZK+NPwl8BeKfiX8Bi/gHxJ4h+L/AII8c678RNXGnO0+i3viDxJ4a8a6VonixJPD91pX9jeMbK2uP+Ew0AaX4muNW1671WfXNRK/cZfsTPpk46TxvC+O8FuLOGcY3iuHeKsp8UMs/sriXIsQ1VyjiDLPaYX2n9n5zl9TD5jg+f3/AKtiafN7z18v/iJ3DcfdrxzPD14+7WoVMBU9pQqrSpRnaVuenO8JW6xZ/oSUUUV/kIfogUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB8Ff8Eq/+UX/APwTf/7MK/Y//wDWevh3X3rXwV/wSr/5Rf8A/BN//swr9j//ANZ6+Hdfetd2Z/8AIyzD/sOxf/qRUM6P8Kl/17h/6SgooorhNAooooAKKKKAMu50PRbyZ7m70fS7q4k2+ZPc6faTzSbEWNN8ssLO21FVF3MdqKqjAAFFalFdEcZi4pRjisRGMUoxjGtUSikkkklKySSSSWiSVtieWP8ALH/wFBRRRXOUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfBX/AASr/wCUX/8AwTf/AOzCv2P/AP1nr4d1960UV3Zn/wAjLMP+w7F/+pFQzo/wqX/XuH/pKCiiiuE0CiiigAooooAKKKKAP//Z" width="184" height="225" />  </td>
<td align="center" valign="top" width="NaNpx"> </td>
<td style="width: 400px;" align="center" valign="middle">
<p style="text-align: justify;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><strong>Dues rectes tenen per equacions:</strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»2«/mn»«/mstyle»«/math»</strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Quines són les coordenades del seu punt d'intersecció?</strong></span></p>
<p style="text-align: justify;"><span style="color: #ff6600; font-size: small;" data-mce-mark="1"><strong><span style="font-size: small;" data-mce-mark="1">Format:</span> </strong></span><span style="color: #000080; font-size: small;" data-mce-mark="1">(1,2)</span></p>
<p style="text-align: justify;"> </p>
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<td align="center" valign="top" width="NaNpx"> </td>
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<div align="center"> </div>
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    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="color: #003300;"><strong>El gràfic és</strong></span> #G1</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.2500000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
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    </answer>
    <wirisquestion>
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xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #003300;"><strong>És fàcil resoldre per igualació i aïllar la 1a coordenada x del punt d'intersecció:</strong></span></p>
<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«/mstyle»«/math»</p>]]></text>
    </hint>
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      <text><![CDATA[<p><span style="color: #003300;"><strong>Aïlles x;  </strong></span></p>
<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8660;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»f«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»11«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»f«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»12«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8660;«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»x«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«/mstyle»«/math»</p>
<p><span style="color: #003300;"><strong>Per a trobar la 2a coordenada, substitueixes x per #x1 en qualsevol de les dues equacions</strong></span></p>
<p> </p>]]></text>
    </hint>
    <hint format="html">
      <text><![CDATA[<p><strong style="color: #003300; font-size: 13.6000003814697px; line-height: 1.4;">Per a trobar la 2a coordenada, substitueixes x per #x1 en qualsevol de les dues equacions:</strong></p>
<p><strong style="color: #003300; font-size: 13.6000003814697px; line-height: 1.4;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»y«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»x«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»n«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfenced»«/mstyle»«/math»</strong></p>
<p> </p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 11157-9267 -->
 <question type="description">
    <name>
      <text>4.04.3.5.20 TEORIA INTERSECCIÓ RECTA PARÀBOLA</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="center"><br />
<table style="color: #000066; border: 4px solid #000066; float: none; text-align: left; vertical-align: top; width: 400px; background-image: none; background-color: #ffffcc;" border="4" frame="void" rules="none">
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<td style="background-color: #000066; background-image: none; color: #ffcc00; border-color: #000066; text-align: center; vertical-align: top; border-style: none;" valign="top" width="NaNpx"><span style="font-size: large; color: #ffff99;" data-mce-mark="1">Punt d'intersecció recta paràbola</span></td>
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<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>L'equació explícita d'una recta és y = mx + n; l'equació d'una paràbola és del tipus y = ax<sup>2</sup> + bx + c.</strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Per determinar les coordenades del punt d'intersecció entre la recta i la paràbola (x<sub>0</sub>,y<sub>0</sub>), només cal resoldre el sistema de les dues equacions. Es pot resoldre per igualació.</strong></span></p>
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 <question type="shortanswerwiris">
    <name>
      <text>4.04.3.5.21Q Intersecció RectaParàbola</text>
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width="143" height="206" /></td>
<td align="center" valign="top" width="NaNpx"> </td>
<td style="width: 400px;" align="center" valign="middle">
<p style="text-align: justify;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><strong>Una recta i una paràbola tenen per equacions:</strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»2«/mn»«/mstyle»«/math»</strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Quines són les coordenades dels seus p<span class="nolink">unt</span>s d'intersecció?</strong></span></p>
<p style="text-align: justify;"><span style="color: #ff6600; font-size: small;" data-mce-mark="1"><strong><span style="font-size: small;" data-mce-mark="1">Format:</span> </strong></span><span style="font-size: small;" data-mce-mark="1">{</span><span style="color: #000080; font-size: small;" data-mce-mark="1">(1,2).(2,5)}</span></p>
<p style="text-align: justify;"> </p>
</td>
<td align="center" valign="top" width="NaNpx"> </td>
</tr>
</tbody>
</table>
<div style="text-align: center;">
<div align="center"> </div>
</div>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="color: #003300;"><strong>El gràfic és</strong></span> #G1</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;D&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;msup&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;D&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;D&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;∈&lt;/mo&gt;&lt;integers/&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;resol&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;x1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msub&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;x2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msub&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x2&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;punt&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;y1&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;punt&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;x2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;y2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;r1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;recta&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;G1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;dibuixa&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;r1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;color&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;blau&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;amplada_línia&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;G1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;dibuixa&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;e2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;color&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;vermell&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;amplada_línia&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;f1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;f2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;f11&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;f12&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;n2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;D&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;81&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable 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xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #003300;"><strong>És fàcil resoldre per igualació i aïllar la 1a coordenada x del punt d'intersecció:</strong></span></p>
<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8660;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»f«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»11«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»0«/mn»«/mstyle»«/math»</p>]]></text>
    </hint>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #003300;"><strong>Resols l'equació de 2n grau que té per solucions «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«/mrow»«/mstyle»«/math»</strong></span></p>
<p><span style="color: #003300;"><strong>Per a trobar la 2a coordenada, substitueixes x per #x1 i per #x2 en qualsevol de les dues equacions</strong></span></p>
<p> </p>]]></text>
    </hint>
    <hint format="html">
      <text><![CDATA[<p><strong style="color: #003300; font-size: 13.6000003814697px; line-height: 1.4;">Per a trobar la 2a coordenada dels dos punts, substitueixes x per #x1 i per #x2 en qualsevol de les dues equacions:</strong></p>
<p><strong style="color: #003300; font-size: 13.6000003814697px; line-height: 1.4;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«msub mathcolor=¨#003300¨»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»y«/mi»«mn mathvariant=¨bold¨»1«/mn»«/msub»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»x«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»n«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfenced»«/mstyle»«/math»</strong></p>
<p> </p>
<p> </p>
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<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>En el moviment rectilini uniforme (a velocitat constant), l'equació del moviment és x = v t + x<sub>0 </sub>amb x = desplaçament en m, v= velocitat en m/s, t = temps en segons i x<sub>0</sub> = desplaçament inicial (en m).</strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Si es desplacen dos mòbils, caldrà resoldre el sistema per determinar algunes de les incògnites.</strong></span></p>
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<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Un bus surt de Vilafranca a una velocitat de #v1 km/h en direcció a un poble distant de #n2 km. En el mateix moment, una moto surt del poble en direcció a Vilafranca a una velocitat de  #v2 km/h. </strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Al cap de quant de temps i a quina distància de Vilafranca es trobaran?</strong></span></p>
<p style="text-align: justify;"><span style="color: #ff6600; font-size: small;"><strong>Comença transformant les unitats</strong></span></p>
<p style="text-align: justify;"><span style="color: #ff6600; font-size: small;" data-mce-mark="1"><strong><span style="font-size: small;" data-mce-mark="1">Format:</span> </strong></span><span style="color: #000080; font-size: small;" data-mce-mark="1"><br /></span></p>
<p style="text-align: left;"><span style="font-size: small;" data-mce-mark="1">a) temps: 15 (en segons)</span></p>
<p style="text-align: left;"><span style="font-size: small;" data-mce-mark="1">b) distància: 20 (en metres arrodonits a la unitat)</span></p>
<p style="text-align: left;"><span style="font-size: small;"> </span></p>
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    <hint format="html">
      <text><![CDATA[<p><span style="color: #003300;"><strong>Cal transformar primer les velocitats a m/s i la distància a metres.</strong></span></p>
<p><span style="color: #003300;"><strong>En aquestes unitats:</strong></span></p>
<ul>
<li><span style="color: #003300;"><strong>l'equació del bus és «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#007F00¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#007F00¨»1«/mn»«/mrow»«/mstyle»«/math»</strong></span></li>
<li><span style="color: #003300;"><strong>l'equació de la moto és «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#007F00¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#007F00¨»2«/mn»«/mrow»«/mstyle»«/math» <span style="color: #ff6600;">(la velocitat és negativa perquè va en sentit contrari)</span></strong></span></li>
</ul>
<p><span style="color: #003300;"><strong>Per igualació es troba primer el temps i per substitució, en la 1a equació, la distància</strong></span></p>]]></text>
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      <text>4.04.3.5.60 TEORIA MRUA</text>
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      <text><![CDATA[<div align="center"><br />
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<p style="text-align: justify;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><strong>En el moviment rectilini uniformement accelerat (a acceleració constant), l'equació del moviment és </strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«msup»«mi mathvariant=¨bold¨»at«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mn mathvariant=¨bold¨»2«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«msub mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»v«/mi»«mn mathvariant=¨bold¨»0«/mn»«/msub»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»t«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«msub mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mn mathvariant=¨bold¨»0«/mn»«/msub»«/mrow»«/mstyle»«/math» </strong></span><strong style="color: #000080; font-size: small; line-height: 1.4;">i l'equació de la velocitat és v = at + v<sub>0</sub></strong></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><strong>amb x = desplaçament en m, a = acceleració en m/s<sup>2</sup>, v= velocitat inicial en m/s, t = temps en segons i x<sub>0</sub> = desplaçament inicial (en m).</strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><strong>Si es desplacen dos mòbils, caldrà resoldre el sistema corresponent per determinar algunes de les incògnites.</strong></span></p>
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