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	<title>Comments on: Regression &#8211; Part 1</title>
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	<description>Lean Manufacturing, Six Sigma, Lean Six Sigma, and Kaizen</description>
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		<title>By: Eight Reasons Your Lean/Six Sigma Initiative Could Fail &#124; Lean Six Sigma Academy</title>
		<link>http://lssacademy.com/2007/03/04/regression-part-1/comment-page-1/#comment-2099</link>
		<dc:creator>Eight Reasons Your Lean/Six Sigma Initiative Could Fail &#124; Lean Six Sigma Academy</dc:creator>
		<pubDate>Sun, 01 Jun 2008 18:40:19 +0000</pubDate>
		<guid isPermaLink="false">http://lssacademy.com/?p=164#comment-2099</guid>
		<description>[...] the belt down a path they may not need to travel as far as what tools they use. If, for example, simple linear regression is not needed to solve a problem stop forcing the belt to use [...]</description>
		<content:encoded><![CDATA[<p>[...] the belt down a path they may not need to travel as far as what tools they use. If, for example, simple linear regression is not needed to solve a problem stop forcing the belt to use [...]</p>
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		<title>By: LSS Academy Series Review - Six Sigma Edition &#124; Lean Six Sigma Academy</title>
		<link>http://lssacademy.com/2007/03/04/regression-part-1/comment-page-1/#comment-1696</link>
		<dc:creator>LSS Academy Series Review - Six Sigma Edition &#124; Lean Six Sigma Academy</dc:creator>
		<pubDate>Mon, 24 Mar 2008 04:25:43 +0000</pubDate>
		<guid isPermaLink="false">http://lssacademy.com/?p=164#comment-1696</guid>
		<description>[...] part 1, of this 3 part series we learned about some of the basics of regression.  Then, in part 2 we talked about two very cool concepts - R Sq (adj) and P values.  Finally, in [...]</description>
		<content:encoded><![CDATA[<p>[...] part 1, of this 3 part series we learned about some of the basics of regression.  Then, in part 2 we talked about two very cool concepts &#8211; R Sq (adj) and P values.  Finally, in [...]</p>
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		<title>By: Regression - Part 3 &#124; Lean Six Sigma Academy</title>
		<link>http://lssacademy.com/2007/03/04/regression-part-1/comment-page-1/#comment-1687</link>
		<dc:creator>Regression - Part 3 &#124; Lean Six Sigma Academy</dc:creator>
		<pubDate>Mon, 24 Mar 2008 03:12:20 +0000</pubDate>
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		<description>[...] evening we will wrap up our discussion of regression. So far we have discussed what regression is and a few ways to determine whether our model is [...]</description>
		<content:encoded><![CDATA[<p>[...] evening we will wrap up our discussion of regression. So far we have discussed what regression is and a few ways to determine whether our model is [...]</p>
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		<title>By: Regression - Part 2 &#124; Lean Six Sigma Academy</title>
		<link>http://lssacademy.com/2007/03/04/regression-part-1/comment-page-1/#comment-1686</link>
		<dc:creator>Regression - Part 2 &#124; Lean Six Sigma Academy</dc:creator>
		<pubDate>Mon, 24 Mar 2008 03:09:36 +0000</pubDate>
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		<description>[...] night we began our discussion on regression. Tonight, I want to talk about a few more things related to this topic. As I was thinking of what [...]</description>
		<content:encoded><![CDATA[<p>[...] night we began our discussion on regression. Tonight, I want to talk about a few more things related to this topic. As I was thinking of what [...]</p>
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		<title>By: Ron Pereira</title>
		<link>http://lssacademy.com/2007/03/04/regression-part-1/comment-page-1/#comment-289</link>
		<dc:creator>Ron Pereira</dc:creator>
		<pubDate>Mon, 05 Mar 2007 15:41:00 +0000</pubDate>
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		<description>Good idea Rob.  Thanks!</description>
		<content:encoded><![CDATA[<p>Good idea Rob.  Thanks!</p>
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		<title>By: robert</title>
		<link>http://lssacademy.com/2007/03/04/regression-part-1/comment-page-1/#comment-290</link>
		<dc:creator>robert</dc:creator>
		<pubDate>Mon, 05 Mar 2007 06:52:00 +0000</pubDate>
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		<description>Ron - perhaps you&#039;d like to comment on sample sizes? The sensitivity of the correlation coefficient to random variations should be considered. With small samples chance variations can easily give the appearance of correlation when in fact none exists. I often find that data is collected, then I&#039;m asked to analyse it. I often dissapoint when I suggest that more is required, especially when it may be difficult or expensive to acquire.&lt;BR/&gt;&lt;BR/&gt;Rob</description>
		<content:encoded><![CDATA[<p>Ron &#8211; perhaps you&#8217;d like to comment on sample sizes? The sensitivity of the correlation coefficient to random variations should be considered. With small samples chance variations can easily give the appearance of correlation when in fact none exists. I often find that data is collected, then I&#8217;m asked to analyse it. I often dissapoint when I suggest that more is required, especially when it may be difficult or expensive to acquire.</p>
<p>Rob</p>
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