<snapdata remixID="8578833"><project name="Using Lists" app="Snap! 5.1, http://snap.berkeley.edu" version="1"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><stage 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" id="1"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="2"></list></costumes><sounds><list struct="atomic" id="3"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><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="8"><costumes><list id="9"><item><costume name="Untitled" center-x="9" center-y="9" image="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABIAAAASCAYAAABWzo5XAAAAwUlEQVQ4jc2UwQ2DMAxFnxTnzgiM0hEyAhvABrBF8Ak2gQ0YpWxALwgFEaWFXGrpX6Lk6Uf2N0TLl5a+FvoplKWvwZfxN6caCkFbi24pCdomIRZdvkECLTAUF4yg8w3I7qyfThCLNnchgZrQzfoUJOgbAIO6DDebRTeDOgTtckGCdn8IyuxY2Dlf5oKO2DwZxuBb8ymkT2ZJ0PUSYoOv7s+Pr6KxNaj7xZmgq0FdYgMcW2CMAfezMZr6VAn+FSp19wPqZoXCq/oNpgAAAABJRU5ErkJggg==" id="10"/></item></list></costumes><sounds><list struct="atomic" id="11"></list></sounds><blocks></blocks><variables></variables><scripts><script x="10" y="10"><block s="receiveGo"></block><block s="clear"></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></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-xy</l><l>0</l></block><block s="doSetVar"><l>sum-y</l><l>0</l></block><block s="doSetVar"><l>m</l><l>0</l></block><block s="doSetVar"><l>Y1</l><l>0</l></block><block s="doSetVar"><l>Y2</l><l>0</l></block><block s="doForEach"><l>point</l><block var="Data"/><script><block s="doChangeVar"><l>sum-x</l><block s="reportPower"><block s="reportListItem"><l>1</l><block var="point"/></block><l>1</l></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-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><block s="doChangeVar"><l>sum-y</l><block s="reportPower"><block s="reportListItem"><l>2</l><block var="point"/></block><l>1</l></block></block></script></block><block s="up"></block><block s="doForEach"><l>point</l><block var="Data"/><script><block s="doGotoObject"><block var="point"/></block><block s="doStamp"></block></script></block><block s="up"></block><block s="doSetVar"><l>m</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>b</l><block s="reportQuotient"><block s="reportDifference"><block var="sum-y"/><block s="reportProduct"><block var="m"/><block var="sum-x"/></block></block><block s="reportListLength"><block var="Data"/></block></block></block><block s="gotoXY"><l>0</l><l>0</l></block><block s="changeXPosition"><l>25</l></block><block s="changeYPosition"><l>-45</l></block><block s="write"><block s="reportJoinWords"><list><l>y=</l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><block var="m"/><l>1000</l></block></block><l>1000</l></block><l>x</l><l>+</l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><block var="b"/><l>1000</l></block></block><l>1000</l></block></list></block><l>20</l></block><block s="doChangeVar"><l>Y1</l><block s="reportSum"><block s="reportProduct"><block var="m"/><l>-240</l></block><block var="b"/></block></block><block s="doChangeVar"><l>Y2</l><block s="reportSum"><block s="reportProduct"><block var="m"/><l>240</l></block><block var="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>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><block s="hide"></block></script></scripts></sprite><watcher var="sum-x^2" style="normal" x="0" y="27.00000399999999" color="243,118,29" hidden="true"/><watcher var="sum-x" style="normal" x="1" y="7.000001999999995" color="243,118,29" hidden="true"/><watcher var="sum-xy" style="normal" x="2" y="49" color="243,118,29" hidden="true"/><watcher var="sum-y" style="normal" x="4" y="71" color="243,118,29" hidden="true"/><watcher var="m" style="normal" x="4" y="94" color="243,118,29" hidden="true"/><watcher var="b" style="normal" x="2" y="116" color="243,118,29" hidden="true"/><watcher var="Data" style="normal" x="0" y="136" color="243,118,29" extX="129" extY="137" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="x" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l></l></block></script></block-definition></blocks><variables><variable name="Data"><list id="273"><item><list struct="atomic" id="274">10,5</list></item><item><list struct="atomic" id="275">50,32</list></item><item><list struct="atomic" id="276">100,74</list></item><item><list struct="atomic" id="277">130,81</list></item><item><list struct="atomic" id="278">155,100</list></item><item><list struct="atomic" id="279">230,161</list></item><item><list struct="atomic" id="280">140,116</list></item></list></variable><variable name="sum-x"><l>815</l></variable><variable name="sum-x^2"><l>126025</l></variable><variable name="sum-xy"><l>88350</l></variable><variable name="sum-y"><l>569</l></variable><variable name="m"><l>0.7098646478550126</l></variable><variable name="b"><l>-1.362812571690743</l></variable><variable name="Y1"><l>-171.73032805689377</l></variable><variable name="Y2"><l>169.0047029135123</l></variable></variables></project><media name="Using Lists" app="Snap! 5.1, http://snap.berkeley.edu" version="1"></media></snapdata>