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      <title>DPS5018 by Victor Soh</title>
      <link>https://padlet.com/mmuvictor/DPS5018_topic_7</link>
      <description>Topic 7 (week 12)</description>
      <language>en-us</language>
      <pubDate>2016-06-27 14:35:38 UTC</pubDate>
      <lastBuildDate>2023-03-25 23:08:48 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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      <item>
         <title>MMLS Notes</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/115516973</link>
         <description><![CDATA[<div>These are what you need to know about Topic 7<br><br><strong>Correlation and regression</strong></div><ul><li>7.1) Linear correlation</li><li>7.2) Simple Linear Regression Model</li></ul>]]></description>
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         <pubDate>2016-06-27 14:55:00 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/115516973</guid>
      </item>
      <item>
         <title>Bonus Marks</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/115517798</link>
         <description><![CDATA[<div>Post good learning materials over here to get your Bonus Marks :)</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-06-27 15:06:43 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/115517798</guid>
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      <item>
         <title>Final Exam Example</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/116554100</link>
         <description><![CDATA[]]></description>
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         <pubDate>2016-07-18 11:33:30 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/116554100</guid>
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      <item>
         <title>Final Exam Example (Solution)</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/116554113</link>
         <description><![CDATA[]]></description>
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         <pubDate>2016-07-18 11:33:53 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/116554113</guid>
      </item>
      <item>
         <title>Application of Linear Regression in Machine Learning:&amp;nbsp;predict a quantitative Y based on several (quantitative) X</title>
         <author></author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/116912577</link>
         <description><![CDATA[<div><a href="https://www.ismll.uni-hildesheim.de/lehre/ml-07w/skript/ml-2up-01-linearregression.pdf">https://www.ismll.uni-hildesheim.de/lehre/ml-07w/skript/ml-2up-01-linearregression.pdf</a></div>]]></description>
         <enclosure url="" />
         <pubDate>2016-07-25 06:16:14 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/116912577</guid>
      </item>
      <item>
         <title>Tutorial Set</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/116928799</link>
         <description><![CDATA[<div>final 1415.pdf</div><ul><li>Section A:<ul><li>Q10</li></ul></li><li>Section C:<ul><li>Q3c</li></ul></li></ul><div><br>final 1516.pdf</div><ul><li>Section A:<ul><li>Q19, Q20</li></ul></li><li>Section C:<ul><li>Q1b, Q2c</li></ul></li></ul>]]></description>
         <enclosure url="" />
         <pubDate>2016-07-25 13:59:23 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/116928799</guid>
      </item>
      <item>
         <title>Application of Linear Regression: Determining if there is any relationship
between regularly attending classes&amp;nbsp;
and getting better quiz marks</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/116945073</link>
         <description><![CDATA[<div>Attached are your Quiz 1 marks during the end of Week 4 (i.e. your first attempt at Quiz 1 in MMLS).<br><br>After analyzing your Quiz 1 performance using techniques in Topic 7 and Topic 8, I have verified the following facts:</div><ul><li>watching the EDpuzzle videos does have a positive affect on your Quiz 1 marks</li><li>there is a positive correlation between regularly attending classes and getting better marks in Quiz 1 </li></ul><div><br>P.S. If you would like to check out my analysis, you have to download the attached file first :)</div>]]></description>
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         <pubDate>2016-07-25 20:01:23 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/116945073</guid>
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      <item>
         <title>Video Lectures</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/117238600</link>
         <description><![CDATA[<div>7.1a) Introduction to Bivariate Data</div><ul><li><a href="http://onlinestatbook.com/2/describing_bivariate_data/introM.html">http://onlinestatbook.com/2/describing_bivariate_data/introM.html</a></li></ul><div><br>7.1b) Values of the Pearson Correlation</div><ul><li><a href="http://onlinestatbook.com/2/describing_bivariate_data/pearsonM.html">http://onlinestatbook.com/2/describing_bivariate_data/pearsonM.html</a></li></ul><div><br>7.1c) Properties of r</div><ul><li><a href="http://onlinestatbook.com/2/describing_bivariate_data/propertiesM.html">http://onlinestatbook.com/2/describing_bivariate_data/propertiesM.html</a></li></ul><div><br>7.1d) Computing r</div><ul><li><a href="http://onlinestatbook.com/2/describing_bivariate_data/calculationM.html">http://onlinestatbook.com/2/describing_bivariate_data/calculationM.html</a></li></ul><div><br>7.2a) Introduction to Linear Regression</div><ul><li><a href="http://onlinestatbook.com/2/regression/introM.html">http://onlinestatbook.com/2/regression/introM.html</a></li></ul><div><br>7.2b) Regression line example</div><ul><li><a href="https://www.youtube.com/watch?v=GAmzwIkGFgE">https://www.youtube.com/watch?v=GAmzwIkGFgE</a></li></ul>]]></description>
         <enclosure url="" />
         <pubDate>2016-07-31 10:04:39 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/117238600</guid>
      </item>
      <item>
         <title>final 1415 (Questions)</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118751130</link>
         <description><![CDATA[]]></description>
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         <pubDate>2016-08-18 13:51:37 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118751130</guid>
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      <item>
         <title>final 1516 (Questions)</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118752186</link>
         <description><![CDATA[]]></description>
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         <pubDate>2016-08-18 13:57:02 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118752186</guid>
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      <item>
         <title>final 1415 (Solutions)</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118775926</link>
         <description><![CDATA[]]></description>
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         <pubDate>2016-08-18 15:43:33 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118775926</guid>
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      <item>
         <title>final 1516 (Solutions)</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118775999</link>
         <description><![CDATA[]]></description>
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         <pubDate>2016-08-18 15:43:51 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118775999</guid>
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      <item>
         <title>Supp Exams</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118814630</link>
         <description><![CDATA[<div>Trim 3, 2015/2016</div><ul><li>Q5a</li></ul><div><br></div><div>Trim 2, 2015/2016</div><ul><li>Section A:<ul><li>Q20</li></ul></li><li>Section B:<ul><li>Q1b, Q2b</li></ul></li></ul><div><br></div><div>Trim 2, 2014/2015</div><ul><li>Section B:<ul><li>Q4</li></ul></li><li>Section C:<ul><li>Q3c</li></ul></li></ul>]]></description>
         <enclosure url="" />
         <pubDate>2016-08-18 18:31:50 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118814630</guid>
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      <item>
         <title>Shortcut to Main Menu</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118873433</link>
         <description><![CDATA[<div><a href="https://padlet.com/mmuvictor/DPS5018_main">https://padlet.com/mmuvictor/DPS5018_main</a></div>]]></description>
         <enclosure url="" />
         <pubDate>2016-08-19 06:42:56 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/118873433</guid>
      </item>
      <item>
         <title>Proof that the regression equation minimizes the squared error to the regression line</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/120838248</link>
         <description><![CDATA[<div>Squared error of regression line</div><ul><li><a href="https://www.youtube.com/watch?v=6OvhLPS7rj4">https://www.youtube.com/watch?v=6OvhLPS7rj4</a></li></ul><div><br>Part 1 of Proof</div><ul><li><a href="https://www.youtube.com/watch?v=mIx2Oj5y9Q8">https://www.youtube.com/watch?v=mIx2Oj5y9Q8</a></li></ul><div><br>Part 2 of Proof</div><ul><li><a href="https://www.youtube.com/watch?v=f6OnoxctvUk">https://www.youtube.com/watch?v=f6OnoxctvUk</a></li></ul><div><br>Part 3 of Proof</div><ul><li><a href="https://www.youtube.com/watch?v=u1HhUB3NP8g">https://www.youtube.com/watch?v=u1HhUB3NP8g</a></li></ul><div><br>Part 4 of Proof</div><ul><li><a href="https://www.youtube.com/watch?v=8RSTQl0bQuw">https://www.youtube.com/watch?v=8RSTQl0bQuw</a></li></ul>]]></description>
         <enclosure url="" />
         <pubDate>2016-08-31 14:36:27 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/120838248</guid>
      </item>
      <item>
         <title>Practice Problems</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/121500032</link>
         <description><![CDATA[<div>Scatter Plots and More</div><ul><li><a href="http://www.regentsprep.org/regents/math/algebra/AD4/PracPlot.htm">http://www.regentsprep.org/regents/math/algebra/AD4/PracPlot.htm</a></li></ul>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-04 19:57:06 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/121500032</guid>
      </item>
      <item>
         <title>Regression Line minimizes variance along the y-axis</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/121652332</link>
         <description><![CDATA[<div>The Regression Line (in the attached image) is denoted by:<br>E[Y] = β₀ + β₁ * x</div>]]></description>
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         <pubDate>2016-09-06 01:00:50 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/121652332</guid>
      </item>
      <item>
         <title>Sum of Squared Error</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123315762</link>
         <description><![CDATA[<div>The attached image uses the following notations:<br><br>Regression Line is denoted by:<br>ŷ = β₀ + β₁ * x<br><br>Sum of Squared Error is denoted by:<br>SSE = Σ(yᵢ - ŷᵢ)²</div>]]></description>
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         <pubDate>2016-09-13 00:29:20 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123315762</guid>
      </item>
      <item>
         <title>Regression Line minimizes Sum of Squared Error</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123315989</link>
         <description><![CDATA[<div>The Regression Line (in the attached image) is denoted denoted by:<br>Y = β₀ + β₁ * X<br><br>The Sum of Squared Error (in the attached image) is denoted by:<br>SS(Error) = Σ(yᵢ - Yᵢ)²</div>]]></description>
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         <pubDate>2016-09-13 00:31:41 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123315989</guid>
      </item>
      <item>
         <title>Correlation and Dependence</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123318061</link>
         <description><![CDATA[<div>Correlation measures the extent to which two variables have a linear relationship with each other:</div><ul><li><a href="https://en.wikipedia.org/wiki/Correlation_and_dependence">https://en.wikipedia.org/wiki/Correlation_and_dependence</a></li></ul><div><br>It is important to note that Correlation does not imply causation</div><ul><li><a href="https://en.wikipedia.org/wiki/Correlation_does_not_imply_causation">https://en.wikipedia.org/wiki/Correlation_does_not_imply_causation</a></li></ul>]]></description>
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         <pubDate>2016-09-13 00:55:53 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123318061</guid>
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      <item>
         <title>Application of Linear Regression: Estimating the price of a real estate</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123325004</link>
         <description><![CDATA[]]></description>
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         <pubDate>2016-09-13 02:07:21 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123325004</guid>
      </item>
      <item>
         <title>Advanced Application of Linear Regression: Estimating the price of a real estate based on two dependent variables (i.e.&amp;nbsp;3D data points)</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123325254</link>
         <description><![CDATA[]]></description>
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         <pubDate>2016-09-13 02:09:33 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123325254</guid>
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      <item>
         <title>Non-Linear Regression</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123325552</link>
         <description><![CDATA[<div>There are several non-linear curves that can be transformed into linear curves. Using a non-linear transformation, you can easily solve non-linear problems as a linear (straight-line) problem.<br><br>The following website explains some of the more commonly used non-linear regression models and how to transform them into linear regression:</div><ul><li><a href="http://people.revoledu.com/kardi//tutorial/Regression/nonlinear/NonLinearTransformation.htm">http://people.revoledu.com/kardi//tutorial/Regression/nonlinear/NonLinearTransformation.htm</a></li></ul>]]></description>
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         <pubDate>2016-09-13 02:11:56 UTC</pubDate>
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      <item>
         <title>Week 12 (Case Study)</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123359039</link>
         <description><![CDATA[<div>Analyzing a Fireball spell</div>]]></description>
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         <pubDate>2016-09-13 08:03:01 UTC</pubDate>
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      </item>
      <item>
         <title>Week 12 (Case Study)</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123359095</link>
         <description><![CDATA[<div>Analyzing a Teleport spell</div>]]></description>
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         <pubDate>2016-09-13 08:03:26 UTC</pubDate>
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      <item>
         <title>Summarized and Detailed Notes for Week 12 Tutorial</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123390933</link>
         <description><![CDATA[]]></description>
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         <pubDate>2016-09-13 11:24:41 UTC</pubDate>
         <guid>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123390933</guid>
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      <item>
         <title>Application of Linear Regression:&amp;nbsp;Distance Measurement via Ultrasonic Sensor</title>
         <author>mmuvictor</author>
         <link>https://padlet.com/mmuvictor/DPS5018_topic_7/wish/123630732</link>
         <description><![CDATA[<div><a href="http://pubs.sciepub.com/automation/3/3/6/">http://pubs.sciepub.com/automation/3/3/6/</a></div>]]></description>
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         <pubDate>2016-09-13 22:51:56 UTC</pubDate>
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