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	<title>Comments on: Understanding the nominal IV</title>
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	<description>Teaching notes of szpku dot lixiaoxu at gmail dot com</description>
	<pubDate>Tue, 07 Sep 2010 02:12:46 +0000</pubDate>
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		<title>By: 理性选民 &#187; Blog Archive &#187; 感谢yo2采纳RWebFriend插件</title>
		<link>http://lixiaoxu.lxxm.com/to-understand-norminal-iv/comment-page-1/#comment-190</link>
		<dc:creator>理性选民 &#187; Blog Archive &#187; 感谢yo2采纳RWebFriend插件</dc:creator>
		<pubDate>Thu, 11 Dec 2008 19:21:24 +0000</pubDate>
		<guid isPermaLink="false">http://lixiaoxu.lxxm.com/2007/11/09/to-understand-norminal-iv/#comment-190</guid>
		<description>[...] 该例的讨论可见于 http://lixiaoxu.lxxm.com/to-understand-norminal-iv/ [...]</description>
		<content:encoded><![CDATA[<p>[...] 该例的讨论可见于 <a href="http://lixiaoxu.lxxm.com/to-understand-norminal-iv/" rel="nofollow">http://lixiaoxu.lxxm.com/to-understand-norminal-iv/</a> [...]</p>
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		<title>By: 一切以雷倒人为目标 at imfeng.net - BI - DM - Financial</title>
		<link>http://lixiaoxu.lxxm.com/to-understand-norminal-iv/comment-page-1/#comment-149</link>
		<dc:creator>一切以雷倒人为目标 at imfeng.net - BI - DM - Financial</dc:creator>
		<pubDate>Sun, 16 Nov 2008 13:27:37 +0000</pubDate>
		<guid isPermaLink="false">http://lixiaoxu.lxxm.com/2007/11/09/to-understand-norminal-iv/#comment-149</guid>
		<description>[...] 再来一段： n=50000; r=0.7;r_e=(1-r*r)^.5; X=rnorm(n); Y=X*r+r_e*rnorm(n); Y=ifelse(X&#62;0,Y,-Y); plot(X,Y,col=&#8221;pink&#8221;); ## http://lixiaoxu.lxxm.com/2007/11/09/to-understand-norminal-iv/ [...]</description>
		<content:encoded><![CDATA[<p>[...] 再来一段： n=50000; r=0.7;r_e=(1-r*r)^.5; X=rnorm(n); Y=X*r+r_e*rnorm(n); Y=ifelse(X&gt;0,Y,-Y); plot(X,Y,col=&#8221;pink&#8221;); ## <a href="http://lixiaoxu.lxxm.com/2007/11/09/to-understand-norminal-iv/" rel="nofollow">http://lixiaoxu.lxxm.com/2007/11/09/to-understand-norminal-iv/</a> [...]</p>
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		<title>By: lixiaoxu</title>
		<link>http://lixiaoxu.lxxm.com/to-understand-norminal-iv/comment-page-1/#comment-45</link>
		<dc:creator>lixiaoxu</dc:creator>
		<pubDate>Sun, 11 Nov 2007 02:44:12 +0000</pubDate>
		<guid isPermaLink="false">http://lixiaoxu.lxxm.com/2007/11/09/to-understand-norminal-iv/#comment-45</guid>
		<description>The term &lt;em&gt;Regression&lt;/em&gt; defaultly reads &lt;em&gt;Linear Regression&lt;/em&gt; (LR) rather than its historically original usage &lt;em&gt;Regression Toward the Mean&lt;/em&gt; (RTM). As a lecturer in psychometrics, I have to answer careful students the distinction between these two &lt;em&gt;Regressions&lt;/em&gt;.

We have rather little difficulty to learn From&#160;Galton (1886) that RTM was to describe the non-trivial regressing of the conditionally predicted points  (toward the unconditional population mean) relative to their respective given predictors. Those predicted points usually but not necessarily lie on a straight line, which was termed LR line. More researchers read LR line as that the series of means of sampled Y(s) will regress to the LR line, established by &lt;em&gt;Central Limit Theorem&lt;/em&gt;. It is really misunderstanding for Galton while it is more likely the common understanding now.

In the diagram, excluding the nominal IV Z, the blue is almost the conditional population mean of Y with respective given X, which is just the case that conditionally predicted points are not necessary on the LR (red, covered by green) line. Factually, the conditional mean blue points do not always regress toward the uncondional mean. For example, when X is just near to its unconditional mean zero, the corresponding blue point is farther From&#160;the Y's unconditional mean. At the same time, the conditional population mean of X with any given Y is just the vertical LR line Y=0.</description>
		<content:encoded><![CDATA[<p>The term <em>Regression</em> defaultly reads <em>Linear Regression</em> (LR) rather than its historically original usage <em>Regression Toward the Mean</em> (RTM). As a lecturer in psychometrics, I have to answer careful students the distinction between these two <em>Regressions</em>.</p>
<p>We have rather little difficulty to learn From&nbsp;Galton (1886) that RTM was to describe the non-trivial regressing of the conditionally predicted points  (toward the unconditional population mean) relative to their respective given predictors. Those predicted points usually but not necessarily lie on a straight line, which was termed LR line. More researchers read LR line as that the series of means of sampled Y(s) will regress to the LR line, established by <em>Central Limit Theorem</em>. It is really misunderstanding for Galton while it is more likely the common understanding now.</p>
<p>In the diagram, excluding the nominal IV Z, the blue is almost the conditional population mean of Y with respective given X, which is just the case that conditionally predicted points are not necessary on the LR (red, covered by green) line. Factually, the conditional mean blue points do not always regress toward the uncondional mean. For example, when X is just near to its unconditional mean zero, the corresponding blue point is farther From&nbsp;the Y's unconditional mean. At the same time, the conditional population mean of X with any given Y is just the vertical LR line Y=0.</p>
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