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    <title>topic Lack of fit - significant R square in two &amp;quot;almost similar x/y models&amp;quot; in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Lack-of-fit-significant-R-square-in-two-quot-almost-similar-x-y/m-p/39175#M22903</link>
    <description>&lt;P&gt;Hello.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I know a similar question was asked before, but please help me to apply this to my model:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1. test two regressions - A versus B and A versus C (similar observations n=1242)&lt;/P&gt;&lt;P&gt;2. Model A versus B has an higher Rsquare and seems to have a better correlation - but a Lack of fit &amp;lt; 0.05&lt;/P&gt;&lt;P&gt;3. Model A versus C has a lower Rsquare and sems to have a bit less correlation - but a lack of fit &amp;gt; 0.05&lt;/P&gt;&lt;P&gt;4. The residual plot looks quite similar.&lt;/P&gt;&lt;P&gt;&amp;nbsp;For the actual full result please see also my attached PDF.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My question: Do I have to disregard Model A versus B and conclude that A versus C is better and more appropriate for my analysis ?&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screenshot (11).png" style="width: 999px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/6166i958194694FAF8123/image-size/large?v=v2&amp;amp;px=999" role="button" title="Screenshot (11).png" alt="Screenshot (11).png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 12 May 2017 09:04:59 GMT</pubDate>
    <dc:creator>Marc</dc:creator>
    <dc:date>2017-05-12T09:04:59Z</dc:date>
    <item>
      <title>Lack of fit - significant R square in two "almost similar x/y models"</title>
      <link>https://community.jmp.com/t5/Discussions/Lack-of-fit-significant-R-square-in-two-quot-almost-similar-x-y/m-p/39175#M22903</link>
      <description>&lt;P&gt;Hello.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I know a similar question was asked before, but please help me to apply this to my model:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1. test two regressions - A versus B and A versus C (similar observations n=1242)&lt;/P&gt;&lt;P&gt;2. Model A versus B has an higher Rsquare and seems to have a better correlation - but a Lack of fit &amp;lt; 0.05&lt;/P&gt;&lt;P&gt;3. Model A versus C has a lower Rsquare and sems to have a bit less correlation - but a lack of fit &amp;gt; 0.05&lt;/P&gt;&lt;P&gt;4. The residual plot looks quite similar.&lt;/P&gt;&lt;P&gt;&amp;nbsp;For the actual full result please see also my attached PDF.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My question: Do I have to disregard Model A versus B and conclude that A versus C is better and more appropriate for my analysis ?&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screenshot (11).png" style="width: 999px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/6166i958194694FAF8123/image-size/large?v=v2&amp;amp;px=999" role="button" title="Screenshot (11).png" alt="Screenshot (11).png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 12 May 2017 09:04:59 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Lack-of-fit-significant-R-square-in-two-quot-almost-similar-x-y/m-p/39175#M22903</guid>
      <dc:creator>Marc</dc:creator>
      <dc:date>2017-05-12T09:04:59Z</dc:date>
    </item>
    <item>
      <title>Re: Lack of fit - significant R square in two "almost similar x/y models"</title>
      <link>https://community.jmp.com/t5/Discussions/Lack-of-fit-significant-R-square-in-two-quot-almost-similar-x-y/m-p/39180#M22904</link>
      <description>&lt;P&gt;Based on a brief glance of the models my feeling is that you are worrying too much about the detailed statistics. &amp;nbsp;The 2 models look almost identical to me (look at the bivariate plots not just the stats) - clearly there is a very high level of correlation between B and C. Does your scientific understanding favour one model over another?&lt;/P&gt;
&lt;P&gt;What stands out to me are the high leverage points at a value of about 70 (for both B and C - strange that they are both on the same scale - are they different measures of the same thing?). &amp;nbsp;Anyhow, I would be concerned about the degree of leverage of those points and their overall influence on the regression.&lt;/P&gt;</description>
      <pubDate>Fri, 12 May 2017 09:17:05 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Lack-of-fit-significant-R-square-in-two-quot-almost-similar-x-y/m-p/39180#M22904</guid>
      <dc:creator>David_Burnham</dc:creator>
      <dc:date>2017-05-12T09:17:05Z</dc:date>
    </item>
    <item>
      <title>Re: Lack of fit - significant R square in two "almost similar x/y models"</title>
      <link>https://community.jmp.com/t5/Discussions/Lack-of-fit-significant-R-square-in-two-quot-almost-similar-x-y/m-p/39183#M22906</link>
      <description>Many thanks David.&lt;BR /&gt;All are physiological variables, all measurements are done with the same method - hence trying to find the best predictor for A. B and C are dependant to each other.&lt;BR /&gt;I will explore the outliers separately in a later, but before this I wanted to configure the best model to define outliers (&amp;gt;2SD or &amp;gt;90% percentile) - although they maybe the same in each model anyway (I didn't check this yet).&lt;BR /&gt;Thanks a lot, Marc&lt;BR /&gt;</description>
      <pubDate>Fri, 12 May 2017 09:37:22 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Lack-of-fit-significant-R-square-in-two-quot-almost-similar-x-y/m-p/39183#M22906</guid>
      <dc:creator>Marc</dc:creator>
      <dc:date>2017-05-12T09:37:22Z</dc:date>
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