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    <title>topic lack-of-fit-test is missing in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/lack-of-fit-test-is-missing/m-p/18650#M17000</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have created a full factorial design with two X variables and one response value (Health as a function of your drinking and smoking habits, see enclosed files).&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="11613_pastedImage_2.png" style="width: 925px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/3118i94E10B0740C945A9/image-size/medium?v=v2&amp;amp;px=400" role="button" title="11613_pastedImage_2.png" alt="11613_pastedImage_2.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;When I generate the report, the lack-of-fit test is greyed out. But why? The fitting-linear-models-pdf from the jmp-help says:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In the following situations, the Lack of Fit report does not appear because the test statistic&lt;/P&gt;&lt;P&gt;cannot be computed:&lt;/P&gt;&lt;P&gt;• There are no replicated points with respect to the X variables, so it is impossible to&lt;/P&gt;&lt;P&gt;calculate a pure error sum of squares.&lt;/P&gt;&lt;P&gt;• The model is saturated, meaning that there are as many estimated parameters as there are&lt;/P&gt;&lt;P&gt;observations. Such a model fits perfectly, so it is impossible to assess lack of fit.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have 3 replicated points for every X variable and 27 observations which is a greater number than the estimated parameters. So why can't I compute the LoF-test?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 19 Oct 2016 02:46:24 GMT</pubDate>
    <dc:creator>phuesch0</dc:creator>
    <dc:date>2016-10-19T02:46:24Z</dc:date>
    <item>
      <title>lack-of-fit-test is missing</title>
      <link>https://community.jmp.com/t5/Discussions/lack-of-fit-test-is-missing/m-p/18650#M17000</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have created a full factorial design with two X variables and one response value (Health as a function of your drinking and smoking habits, see enclosed files).&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="11613_pastedImage_2.png" style="width: 925px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/3118i94E10B0740C945A9/image-size/medium?v=v2&amp;amp;px=400" role="button" title="11613_pastedImage_2.png" alt="11613_pastedImage_2.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;When I generate the report, the lack-of-fit test is greyed out. But why? The fitting-linear-models-pdf from the jmp-help says:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In the following situations, the Lack of Fit report does not appear because the test statistic&lt;/P&gt;&lt;P&gt;cannot be computed:&lt;/P&gt;&lt;P&gt;• There are no replicated points with respect to the X variables, so it is impossible to&lt;/P&gt;&lt;P&gt;calculate a pure error sum of squares.&lt;/P&gt;&lt;P&gt;• The model is saturated, meaning that there are as many estimated parameters as there are&lt;/P&gt;&lt;P&gt;observations. Such a model fits perfectly, so it is impossible to assess lack of fit.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have 3 replicated points for every X variable and 27 observations which is a greater number than the estimated parameters. So why can't I compute the LoF-test?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 19 Oct 2016 02:46:24 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/lack-of-fit-test-is-missing/m-p/18650#M17000</guid>
      <dc:creator>phuesch0</dc:creator>
      <dc:date>2016-10-19T02:46:24Z</dc:date>
    </item>
    <item>
      <title>Re: lack-of-fit-test is missing</title>
      <link>https://community.jmp.com/t5/Discussions/lack-of-fit-test-is-missing/m-p/18651#M17001</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;If you run a Stepwise Regression instead of the Standard Least Squares you will get the Lack of Fit statistic.&amp;nbsp; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 20 May 2016 13:14:37 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/lack-of-fit-test-is-missing/m-p/18651#M17001</guid>
      <dc:creator>Bill_Worley</dc:creator>
      <dc:date>2016-05-20T13:14:37Z</dc:date>
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