<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Any suggestion about this data-transformation to do regression? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Any-suggestion-about-this-data-transformation-to-do-regression/m-p/35002#M1463</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; Some more info about the X and Y variables would be a lot of help.&amp;nbsp; Looking at the plot that accompanied your post, I didn't see much but noise.&amp;nbsp; The X variable looks to get very large, so a plot of Y vs. log(X) might be revealing.&amp;nbsp; I don't think there is going to be anything, but you might look at PROC TRANSREG for Box-Cox transformations as a step towards something.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 23 Jan 2012 12:34:11 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2012-01-23T12:34:11Z</dc:date>
    <item>
      <title>Any suggestion about this data-transformation to do regression?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Any-suggestion-about-this-data-transformation-to-do-regression/m-p/35001#M1462</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Is there is one possibility to do regression on the data through data-transformation? If yes, what kind of transformation I can do?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;&lt;BR /&gt;&lt;IMG src="https://communities.sas.com/t5/image/serverpage/image-id/10672i008C219BAE2D073B/image-size/large?v=1.0&amp;amp;px=600" border="0" alt="data.JPG" title="data.JPG" /&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 21 Jan 2012 09:10:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Any-suggestion-about-this-data-transformation-to-do-regression/m-p/35001#M1462</guid>
      <dc:creator>MikeTurner</dc:creator>
      <dc:date>2012-01-21T09:10:49Z</dc:date>
    </item>
    <item>
      <title>Any suggestion about this data-transformation to do regression?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Any-suggestion-about-this-data-transformation-to-do-regression/m-p/35002#M1463</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; Some more info about the X and Y variables would be a lot of help.&amp;nbsp; Looking at the plot that accompanied your post, I didn't see much but noise.&amp;nbsp; The X variable looks to get very large, so a plot of Y vs. log(X) might be revealing.&amp;nbsp; I don't think there is going to be anything, but you might look at PROC TRANSREG for Box-Cox transformations as a step towards something.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 23 Jan 2012 12:34:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Any-suggestion-about-this-data-transformation-to-do-regression/m-p/35002#M1463</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2012-01-23T12:34:11Z</dc:date>
    </item>
    <item>
      <title>Any suggestion about this data-transformation to do regression?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Any-suggestion-about-this-data-transformation-to-do-regression/m-p/35003#M1464</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;If the X axis is reversed, this looks like a classic case of heteroskedastic data in which the variance increases with X.&lt;/P&gt;&lt;P&gt;I'd define Z = 1/X and plot Y vs. Z (or use 1/(X+1) if X=0 is a possible value).&lt;/P&gt;&lt;P&gt;You can then use all the standard variance stabilizing transformations (AKA, normalizing transformations) such as Z--&amp;gt;log(Z) or&amp;nbsp; Z--&amp;gt;sqrt(Z).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Depending on the meaning of X, you could also try just a simple reflection such as W = 300000 - x and then work with W.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;As Steve mentions, transformations often work best when they are meaningfully related to the data. So ask yourself, is "natural" way to flip around the X axis?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 23 Jan 2012 13:29:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Any-suggestion-about-this-data-transformation-to-do-regression/m-p/35003#M1464</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2012-01-23T13:29:30Z</dc:date>
    </item>
  </channel>
</rss>

