<snapdata remixID="8578913"><project name="LeastSquaresRegression" 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="0" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="97,0,47,1" pen="tip" id="8"><costumes><list id="9"><item><costume name="Untitled" center-x="6" center-y="6.75" image="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAPCAYAAADUFP50AAABA0lEQVQ4T6WSvUoDURCFz7mJEhGfQFuFND5Fytj5dw32tjZidlNm1TfQXjT402npU1gY0NY3UDFo9h7JTVwWWcJenO7OOd+dGWaIgtg8VNtU0BhJLsXD9QmP/9qYT9hYzxCWiz4D8dJLuPKrZeBOrC8JM4XQJEni+zLh7OjpQRvpE0BtGpTTBr0jznH7QKesYq8k5G0a4oy2rXcQ8yEghA/aWIKCMD8gbaRQzFf5F5gCMIHNOrYiPTmgHgIaoM/mvhYXangdb7RECHgbYMnbdzu6Gzo0S2CoGtyfd7mW1Wl1dOMc1qfBxuD2osuN7OTy5q1Yj0aog6iMzwSpI/pXCVfzvh+69lH9j2M6pgAAAABJRU5ErkJggg==" id="10"/></item></list></costumes><sounds><list struct="atomic" id="11"></list></sounds><blocks></blocks><variables></variables><scripts><script x="29" y="10"><block s="receiveGo"></block><block s="doSetVar"><l>sum of x</l><l>0</l></block><block s="doSetVar"><l>sum of y</l><l>0</l></block><block s="doSetVar"><l>sum of xy</l><l>0</l></block><block s="doSetVar"><l>sum of x-square</l><l>0</l></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="false">List of (x,y) points.  </comment></block><block s="doSetVar"><l>N</l><block s="reportListLength"><block var="Data"/></block></block><block s="gotoXY"><l>-200</l><l>100</l></block><block s="clear"></block><block s="up"></block><block s="doForEach"><l>item</l><block var="Data"/><script><block s="doChangeVar"><l>sum of x</l><block s="reportListItem"><l>1</l><block var="item"/></block></block><block s="doChangeVar"><l>sum of y</l><block s="reportListItem"><l>2</l><block var="item"/></block></block><block s="doChangeVar"><l>sum of xy</l><block s="reportProduct"><block s="reportListItem"><l>1</l><block var="item"/></block><block s="reportListItem"><l>2</l><block var="item"/></block></block></block><block s="doChangeVar"><l>sum of x-square</l><block s="reportPower"><block s="reportListItem"><l>1</l><block var="item"/></block><l>2</l></block></block></script></block><block s="setColor"><color>0,64,97,1</color></block><block s="setSize"><l>2</l></block><block s="gotoXY"><l>0</l><l>200</l></block><block s="down"></block><block s="setHeading"><l>180</l></block><block s="gotoXY"><l>0</l><l>-200</l></block><block s="up"></block><block s="gotoXY"><l>-300</l><l>0</l></block><block s="down"></block><block s="setHeading"><l>180</l></block><block s="gotoXY"><l>300</l><l>0</l></block><block s="doForEach"><l>item</l><block var="Data"/><script><block s="up"></block><block s="gotoXY"><block s="reportListItem"><l>1</l><block var="item"/></block><block s="reportListItem"><l>2</l><block var="item"/></block></block><block s="doStamp"></block></script></block><block s="gotoXY"><l>-300</l><block s="reportSum"><block s="reportProduct"><custom-block s="slope %l"><block var="Data"/></custom-block><l>-300</l></block><custom-block s="intercept %l"><block var="Data"/></custom-block></block></block><block s="down"></block><block s="setColor"><color>97,0,47,1</color></block><block s="doGlide"><l>1</l><l>300</l><block s="reportSum"><block s="reportProduct"><custom-block s="slope %l"><block var="Data"/></custom-block><l>300</l></block><custom-block s="intercept %l"><block var="Data"/></custom-block></block></block><block s="up"></block><block s="gotoXY"><l>80</l><l>-150</l></block><block s="setHeading"><l>90</l></block><block s="setSize"><l>4</l></block><block s="write"><block s="reportJoinWords"><list><l>y=</l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><custom-block s="slope %l"><block var="Data"/></custom-block><l>1000</l></block></block><l>1000</l></block><l>x+</l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><custom-block s="intercept %l"><block var="Data"/></custom-block><l>1000</l></block></block><l>1000</l></block></list></block><l>12</l></block><block s="gotoXY"><l>0</l><l>0</l></block></script></scripts></sprite><watcher var="Data" style="normal" x="9.999999999999886" y="10" color="243,118,29" hidden="true"/><watcher var="intercept" style="normal" x="9.999999999999886" y="170.00000200000002" color="243,118,29" hidden="true"/><watcher var="sum of x" style="normal" x="9.999999999999886" y="191.000004" color="243,118,29" hidden="true"/><watcher var="N" style="normal" x="9.999999999999886" y="275.00001199999997" color="243,118,29" hidden="true"/><watcher var="sum of y" style="normal" x="6.000000000000114" y="148.000006" color="243,118,29" hidden="true"/><watcher var="sum of xy" style="normal" x="6.999999999999773" y="227.00000799999998" color="243,118,29" hidden="true"/><watcher var="sum of x-square" style="normal" x="6.999999999999773" y="320.0000099999999" color="243,118,29" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="slope" type="predicate" category="operators"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l></l></block></script></block-definition><block-definition s="slope %&apos;list&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportDifference"><block s="reportProduct"><block var="N"/><block var="sum of xy"/></block><block s="reportProduct"><block var="sum of x"/><block var="sum of y"/></block></block><block s="reportDifference"><block s="reportProduct"><block var="N"/><block var="sum of x-square"/></block><block s="reportPower"><block var="sum of x"/><l>2</l></block></block></block></block></script></block-definition><block-definition s="intercept %&apos;list&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportDifference"><block var="sum of y"/><block s="reportProduct"><custom-block s="slope %l"><block var="list"/></custom-block><block var="sum of x"/></block></block><block var="N"/></block></block></script></block-definition></blocks><variables><variable name="Data"><list id="287"><item><list struct="atomic" id="288">10,5</list></item><item><list struct="atomic" id="289">50,32</list></item><item><list struct="atomic" id="290">100,74</list></item><item><list struct="atomic" id="291">130,81</list></item><item><list struct="atomic" id="292">155,100</list></item><item><list struct="atomic" id="293">230,161</list></item><item><list struct="atomic" id="294">140,116</list></item></list></variable><variable name="intercept"><l>0</l></variable><variable name="sum of x"><l>815</l></variable><variable name="sum of y"><l>569</l></variable><variable name="sum of xy"><l>88350</l></variable><variable name="sum of x-square"><l>126025</l></variable><variable name="N"><l>7</l></variable></variables></project><media name="LeastSquaresRegression" app="Snap! 5.1, http://snap.berkeley.edu" version="1"></media></snapdata>