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	<title>Comments on: Penn State Conference Only Efficiency Numbers</title>
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	<link>http://www.happyvalleyhoops.com/2008/05/09/penn-state-conference-only-efficiency-numbers/</link>
	<description>a Penn State basketball blog with an APBRmetrics twist</description>
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		<title>By: spartansweblog</title>
		<link>http://www.happyvalleyhoops.com/2008/05/09/penn-state-conference-only-efficiency-numbers/comment-page-1/#comment-101</link>
		<dc:creator>spartansweblog</dc:creator>
		<pubDate>Fri, 09 May 2008 15:20:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.happyvalleyhoops.com/?p=425#comment-101</guid>
		<description>Rationales for third-order polynomials:

1) They look nice.

2) Football Outsiders use them for the 16-game NFL schedule.  And FO is big time!

From what I&#039;ve read, there&#039;s no real standard for what order to use, other than intuitive judgment as to the appropriate number of shifts in performance over the sample size.  Two peaks in an 18-game schedule seemed about right.

As I noted in my post, you can&#039;t guarantee the trends are statistically significant, but you&#039;re never going to cross that threshold in a single college basketball season.  I think they&#039;re great for discussion purposes, though.</description>
		<content:encoded><![CDATA[<p>Rationales for third-order polynomials:</p>
<p>1) They look nice.</p>
<p>2) Football Outsiders use them for the 16-game NFL schedule.  And FO is big time!</p>
<p>From what I&#8217;ve read, there&#8217;s no real standard for what order to use, other than intuitive judgment as to the appropriate number of shifts in performance over the sample size.  Two peaks in an 18-game schedule seemed about right.</p>
<p>As I noted in my post, you can&#8217;t guarantee the trends are statistically significant, but you&#8217;re never going to cross that threshold in a single college basketball season.  I think they&#8217;re great for discussion purposes, though.</p>
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