<snapdata remixID="8578846"><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" 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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><script x="75" y="102"><block s="reportNewCostumeStretched"><l></l><l>100</l><l>50</l></block></script></scripts><sprites><sprite name="Sprite" idx="1" x="140" y="116" heading="54.63040446365409" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="1" color="71,25,255,1" pen="tip" id="12"><costumes><list id="13"><item><costume name="Untitled" center-x="7" center-y="8.75" image="data:image/png;base64,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" id="14"/></item></list></costumes><sounds><list struct="atomic" id="15"></list></sounds><blocks></blocks><variables></variables><scripts><script x="20" y="20"><block s="receiveGo"></block><block s="up"></block><custom-block s="Write.Values"></custom-block><custom-block s="Draw.Axis"></custom-block><custom-block s="Draw.Slope"></custom-block><custom-block s="Draw.Points"></custom-block></script><script x="20" y="163"><custom-block s="data set"></custom-block></script></scripts></sprite><watcher var="Data" style="normal" x="14.75" y="14.750000000000014" color="243,118,29" hidden="true"/><watcher var="Intercept" style="normal" x="9.747899159664257" y="33.68908752941175" color="243,118,29" hidden="true"/><watcher scope="Stage" s="reportMouseX" style="normal" x="10.000000000000227" y="60.00000200000001" color="4,148,220" hidden="true"/><watcher scope="Stage" s="reportMouseY" style="normal" x="7.000000000000227" y="83" color="4,148,220" hidden="true"/><watcher scope="Sprite" s="xPosition" style="normal" x="10" y="10" color="74,108,212" hidden="true"/><watcher scope="Sprite" s="yPosition" style="normal" x="10" y="31.000001999999995" color="74,108,212" hidden="true"/><watcher var="Slope" style="normal" x="154.74789915966426" y="16.21849334453779" color="243,118,29" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="data set" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><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="gotoXY"><l>-220</l><l>160</l></block><block s="clear"></block><block s="up"></block><block s="doForEach"><l>point</l><block var="Data"/><script><block s="write"><block s="reportJoinWords"><list><l>(</l><block s="reportListItem"><l>1</l><block var="point"/></block><l> , </l><block s="reportListItem"><l>2</l><block var="point"/></block><l>)</l></list></block><l>12</l></block><block s="changeYPosition"><l>-15</l></block><block s="setXPosition"><l>-220</l></block></script><comment w="90" collapsed="false">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></script></block-definition><block-definition s="Intercept %&apos;Data&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>ΣY</l><l>ΣX</l><l>N</l></list></block><block s="doForEach"><l>point</l><block var="Data"/><script><block s="doChangeVar"><l>ΣX</l><block s="reportListItem"><l>1</l><block var="point"/></block></block><block s="doChangeVar"><l>ΣY</l><block s="reportListItem"><l>2</l><block var="point"/></block></block><block s="doChangeVar"><l>N</l><l>1</l></block></script></block><block s="doReport"><block s="reportQuotient"><block s="reportDifference"><block var="ΣY"/><block s="reportProduct"><block var="Slope"/><block var="ΣX"/></block></block><block var="N"/></block></block></script></block-definition><block-definition s="Slope %&apos;data&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>ΣX</l><l>ΣY</l><l>N</l><l>ΣXY</l><l>ΣX^2</l></list></block><block s="doForEach"><l>point</l><block var="Data"/><script><block s="doChangeVar"><l>ΣX</l><block s="reportListItem"><l>1</l><block var="point"/></block></block><block s="doChangeVar"><l>ΣY</l><block s="reportListItem"><l>2</l><block var="point"/></block></block><block s="doChangeVar"><l>N</l><l>1</l></block><block s="doChangeVar"><l>ΣXY</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>ΣX^2</l><block s="reportPower"><block s="reportListItem"><l>1</l><block var="point"/></block><l>2</l></block></block></script></block><block s="doReport"><block s="reportQuotient"><block s="reportDifference"><block s="reportProduct"><block var="N"/><block var="ΣXY"/></block><block s="reportProduct"><block var="ΣY"/><block var="ΣX"/></block></block><block s="reportDifference"><block s="reportProduct"><block var="N"/><block var="ΣX^2"/></block><block s="reportPower"><block var="ΣX"/><l>2</l></block></block></block></block></script></block-definition><block-definition s="Draw.Axis" type="command" category="motion"><header></header><code></code><translations></translations><inputs></inputs><script><block s="up"></block><block s="setSize"><l>1</l></block><block s="setColor"><color>255,17,0,1</color></block><block s="gotoXY"><l>-240</l><l>0</l></block><block s="setHeading"><l>90</l></block><block s="down"></block><block s="setXPosition"><l>240</l></block><block s="up"></block><block s="gotoXY"><l>0</l><l>-180</l></block><block s="setHeading"><l>0</l></block><block s="setColor"><color>71,25,255,1</color></block><block s="down"></block><block s="setYPosition"><l>180</l></block><block s="up"></block></script><scripts><script x="243.7744150625" y="227.00000100000005"><block s="reportProduct"><l>45</l><l></l></block></script></scripts></block-definition><block-definition s="Write.Values" type="command" category="motion"><header></header><code></code><translations></translations><inputs></inputs><script><block s="setColor"><color>8,15,0,1</color></block><block s="setHeading"><l>90</l></block><block s="clear"></block><block s="gotoXY"><l>-235</l><l>160</l></block><block s="write"><block s="reportJoinWords"><list><l>Slope: </l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><l>10000</l><custom-block s="Slope %l"><block var="Data"/></custom-block></block></block><l>10000</l></block></list></block><l>12</l></block><block s="gotoXY"><l>-235</l><l>145</l></block><block s="write"><block s="reportJoinWords"><list><l>Intercept: </l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><l>10000</l><custom-block s="Intercept %l"><block var="Data"/></custom-block></block></block><l>10000</l></block></list></block><l>12</l></block><block s="gotoXY"><l>-235</l><l>130</l></block><block s="write"><block s="reportJoinWords"><list><l>y= </l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><l>10000</l><custom-block s="Slope %l"><block var="Data"/></custom-block></block></block><l>10000</l></block><l>x </l><l>+ </l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><l>10000</l><custom-block s="Intercept %l"><block var="Data"/></custom-block></block></block><l>10000</l></block></list></block><l>12</l></block></script></block-definition><block-definition s="Draw.Slope" type="command" category="motion"><header></header><code></code><translations></translations><inputs></inputs><script><block s="gotoXY"><l>0</l><custom-block s="Intercept %l"><block var="Data"/></custom-block></block><block s="down"></block><block s="setSize"><l>1</l></block><block s="setHeading"><l>90</l></block><block s="setHeading"><block s="reportDifference"><l>90</l><block s="reportMonadic"><l><option>atan</option></l><custom-block s="Slope %l"><block var="Data"/></custom-block></block></block></block><block s="forward"><l>500</l></block><block s="forward"><l>-1000</l></block></script></block-definition><block-definition s="Draw.Points" type="command" category="motion"><header></header><code></code><translations></translations><inputs></inputs><script><block s="up"></block><block s="doForEach"><l>point</l><block var="Data"/><script><block s="setSize"><l>20</l></block><block s="gotoXY"><block s="reportListItem"><l>1</l><block var="point"/></block><block s="reportListItem"><l><option>last</option></l><block var="point"/></block></block><block s="doStamp"></block></script></block></script></block-definition></blocks><variables><variable name="Data"><list id="388"><item><list struct="atomic" id="389">10,5</list></item><item><list struct="atomic" id="390">50,32</list></item><item><list struct="atomic" id="391">100,74</list></item><item><list struct="atomic" id="392">130,81</list></item><item><list struct="atomic" id="393">155,100</list></item><item><list struct="atomic" id="394">230,161</list></item><item><list struct="atomic" id="395">140,116</list></item></list></variable><variable name="Slope"><l>.7099</l></variable><variable name="Intercept"><l>-1.362812571690743</l></variable></variables></project><media name="LeastSquaresRegression" app="Snap! 5.1, http://snap.berkeley.edu" version="1"></media></snapdata>