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name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" volume="100" pan="0" lines="round" ternary="false" codify="false" inheritance="true" sublistIDs="false" scheduled="false" 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struct="atomic" id="2"></list></costumes><sounds><list struct="atomic" id="3"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><watcher var="Data" style="normal" x="10" y="10" color="243,118,29" hidden="true"/><watcher var="sum-x" style="normal" x="-2" y="0.0000019999999949504854" color="243,118,29" hidden="true"/><watcher var="sum-x^2" style="normal" x="-1" y="21.00000799999998" color="243,118,29" hidden="true"/><watcher var="sum-y" style="normal" x="0" y="42.000005999999985" color="243,118,29" hidden="true"/><watcher var="sum-xy" style="normal" x="1" y="62.000001999999995" color="243,118,29" hidden="true"/><watcher var="slope" style="normal" x="106" y="-1.999998000000005" color="243,118,29" hidden="true"/><watcher var="Interecept B" style="normal" x="109" y="20.000001999999995" color="243,118,29" hidden="true"/><watcher var="Y1" style="normal" x="99" y="42.000001999999995" color="243,118,29" hidden="true"/><watcher var="Y2" style="normal" x="100" y="61.00000399999999" color="243,118,29" hidden="true"/><sprite name="Sprite" idx="1" x="240" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="1" color="80,80,80,1" pen="tip" id="17"><costumes><list id="18"><item><costume name="Untitled" center-x="9" center-y="9.5" image="data:image/png;base64,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" id="19"/></item></list></costumes><sounds><list struct="atomic" id="20"></list></sounds><blocks></blocks><variables></variables><scripts><script x="10" y="10"><block s="receiveGo"></block><block s="doSetVar"><l>Data</l><block s="reportNewList"><list><block s="reportNewList"><list><l>10</l><l>5</l></list></block><block s="reportNewList"><list><l>50</l><l>32</l></list></block><block s="reportNewList"><list><l>100</l><l>74</l></list></block><block s="reportNewList"><list><l>130</l><l>81</l></list></block><block s="reportNewList"><list><l>155</l><l>100</l></list></block><block s="reportNewList"><list><l>230</l><l>161</l></list></block><block s="reportNewList"><list><l>140</l><l>116</l></list></block></list></block><comment w="112.779296875" collapsed="true">List of (x,y) points.  </comment></block><block s="gotoXY"><l>-200</l><l>75</l></block><block s="clear"></block><block s="up"></block><block s="doSetVar"><l>Y1</l><l>0</l></block><block s="doSetVar"><l>Y2</l><l>0</l></block><block s="doSetVar"><l>slope</l><l>0</l></block><block s="doSetVar"><l>sum-x</l><l>0</l></block><block s="doSetVar"><l>sum-x^2</l><l>0</l></block><block s="doSetVar"><l>sum-y</l><l>0</l></block><block s="doSetVar"><l>sum-xy</l><l>0</l></block><block s="doForEach"><l>point</l><block var="Data"/><script><block s="doChangeVar"><l>sum-x</l><block s="reportListItem"><l>1</l><block var="point"/></block></block><block s="doChangeVar"><l>sum-x^2</l><block s="reportPower"><block s="reportListItem"><l>1</l><block var="point"/></block><l>2</l></block></block><block s="doChangeVar"><l>sum-y</l><block s="reportListItem"><l>2</l><block var="point"/></block></block><block s="doChangeVar"><l>sum-xy</l><block s="reportProduct"><block s="reportListItem"><l>1</l><block var="point"/></block><block s="reportListItem"><l>2</l><block var="point"/></block></block></block></script><comment w="90" collapsed="true">This will print the data points and also serves as an example to get your started.  Delete it once you understand how it works. </comment></block><block s="doSetVar"><l>slope</l><block s="reportQuotient"><block s="reportDifference"><block s="reportProduct"><block s="reportListLength"><block var="Data"/></block><block var="sum-xy"/></block><block s="reportProduct"><block var="sum-x"/><block var="sum-y"/></block></block><block s="reportDifference"><block s="reportProduct"><block s="reportListLength"><block var="Data"/></block><block var="sum-x^2"/></block><block s="reportPower"><block var="sum-x"/><l>2</l></block></block></block></block><block s="doSetVar"><l>Interecept B</l><block s="reportQuotient"><block s="reportDifference"><block var="sum-y"/><block s="reportProduct"><block var="slope"/><block var="sum-x"/></block></block><block s="reportListLength"><block var="Data"/></block></block></block><block s="doChangeVar"><l>Y1</l><block s="reportSum"><block s="reportProduct"><block var="slope"/><l>-240</l></block><block var="Interecept B"/></block></block><block s="doChangeVar"><l>Y2</l><block s="reportSum"><block s="reportProduct"><block var="slope"/><l>240</l></block><block var="Interecept B"/></block></block><block s="up"></block><block s="gotoXY"><l>-240</l><block var="Y1"/></block><block s="down"></block><block s="gotoXY"><l>240</l><block var="Y2"/></block><block s="up"></block><block s="gotoXY"><l>100</l><l>0</l></block><block s="doSetVar"><l>slope</l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><block var="slope"/><l>1000</l></block></block><l>1000</l></block></block><block s="doSetVar"><l>Interecept B</l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><block var="Interecept B"/><l>1000</l></block></block><l>1000</l></block></block><block s="write"><block s="reportJoinWords"><list><l>Y=</l><block var="slope"/><l>x</l><l>+</l><block var="Interecept B"/></list></block><l>12</l></block><block s="gotoXY"><l>0</l><l>-180</l></block><block s="down"></block><block s="gotoXY"><l>0</l><l>180</l></block><block s="up"></block><block s="gotoXY"><l>-240</l><l>0</l></block><block s="down"></block><block s="gotoXY"><l>240</l><l>0</l></block><block s="up"></block></script><script x="196" y="146"><block s="receiveGo"></block><block s="doForEach"><l>point</l><block var="Data"/><script><block s="doGotoObject"><block var="point"/></block><block s="doStamp"></block></script></block></script></scripts></sprite></sprites></stage><hidden></hidden><headers></headers><code></code><blocks></blocks><variables><variable name="Data"><list id="269"><item><list struct="atomic" id="270">10,5</list></item><item><list struct="atomic" id="271">50,32</list></item><item><list struct="atomic" id="272">100,74</list></item><item><list struct="atomic" id="273">130,81</list></item><item><list struct="atomic" id="274">155,100</list></item><item><list struct="atomic" id="275">230,161</list></item><item><list struct="atomic" id="276">140,116</list></item></list></variable><variable name="sum-x"><l>815</l></variable><variable name="sum-y"><l>569</l></variable><variable name="sum-x^2"><l>126025</l></variable><variable name="sum-xy"><l>88350</l></variable><variable name="slope"><l>0.71</l></variable><variable name="Interecept B"><l>-1.363</l></variable><variable name="Y1"><l>-171.73032805689377</l></variable><variable name="Y2"><l>169.0047029135123</l></variable></variables></project><media name="LeastSquaresRegression" app="Snap! 5.1, http://snap.berkeley.edu" version="1"></media></snapdata>