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    <title>topic Re: MANOVA intercept in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/MANOVA-intercept/m-p/303890#M16157</link>
    <description>&lt;P&gt;Thanks. I think I finally sorted it out. SAS fits an intercept b/c of the class variables - I didn't realize it until I tried to specify NOINT (see SAS log details below). I suspected it was including an intercept but this verifies it.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;NOTE: Due to the presence of CLASS variables, an intercept is implicitly fitted. R-Square has&lt;BR /&gt;been corrected for the mean.&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 11 Oct 2016 21:39:09 GMT</pubDate>
    <dc:creator>TerrieShaft</dc:creator>
    <dc:date>2016-10-11T21:39:09Z</dc:date>
    <item>
      <title>MANOVA intercept</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/MANOVA-intercept/m-p/303577#M16138</link>
      <description>&lt;P&gt;I'm running a MANOVA and I get identical f-values when I ask for the intercept and when I omit it from my statement. This seemed counter intuitive to me, and also to my colleague who uses MANOVA extensively (however he uses SPSS). Can anyone help me understand why this makes no difference? I've included my code below. I'm sure I'm overlooking something basic.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc glm;&lt;BR /&gt;class delay familarity breadth;&lt;BR /&gt;model attitude perfave = delay familarity breadth delay*familarity&amp;nbsp;delay*breadth&amp;nbsp;familarity*breadth&lt;BR /&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;delay*familarity*breadth;&lt;BR /&gt;manova h= intercept delay familarity breadth delay*familarity&amp;nbsp;delay*breadth&amp;nbsp;familarity*breadth&amp;nbsp;delay*familarity*breadth /summary;&lt;BR /&gt;manova h= delay familarity breadth&amp;nbsp;delay*familarity&amp;nbsp;delay*breadth&amp;nbsp;familarity*breadth&amp;nbsp;delay*familarity*breadth /summary;&lt;BR /&gt;run;&lt;/P&gt;</description>
      <pubDate>Mon, 10 Oct 2016 15:41:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/MANOVA-intercept/m-p/303577#M16138</guid>
      <dc:creator>TerrieShaft</dc:creator>
      <dc:date>2016-10-10T15:41:20Z</dc:date>
    </item>
    <item>
      <title>Re: MANOVA intercept</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/MANOVA-intercept/m-p/303603#M16139</link>
      <description>&lt;P&gt;There are many F values printed, so I'm not sure which ones you are concerned about. Are you talking about the MultStat table?&lt;/P&gt;
&lt;P&gt;Run the following program and look in the log to find the name of the tables:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glm data=sashelp.class;
class sex age;
model weight height = sex | age;
manova h= intercept sex|age /summary;
manova h= sex|age /summary;
run;
&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Mon, 10 Oct 2016 16:57:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/MANOVA-intercept/m-p/303603#M16139</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2016-10-10T16:57:02Z</dc:date>
    </item>
    <item>
      <title>Re: MANOVA intercept</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/MANOVA-intercept/m-p/303765#M16155</link>
      <description>&lt;P&gt;model weight height = sex | age/ &lt;STRONG&gt;nouni;&lt;/STRONG&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 11 Oct 2016 12:46:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/MANOVA-intercept/m-p/303765#M16155</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-10-11T12:46:14Z</dc:date>
    </item>
    <item>
      <title>Re: MANOVA intercept</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/MANOVA-intercept/m-p/303890#M16157</link>
      <description>&lt;P&gt;Thanks. I think I finally sorted it out. SAS fits an intercept b/c of the class variables - I didn't realize it until I tried to specify NOINT (see SAS log details below). I suspected it was including an intercept but this verifies it.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;NOTE: Due to the presence of CLASS variables, an intercept is implicitly fitted. R-Square has&lt;BR /&gt;been corrected for the mean.&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 11 Oct 2016 21:39:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/MANOVA-intercept/m-p/303890#M16157</guid>
      <dc:creator>TerrieShaft</dc:creator>
      <dc:date>2016-10-11T21:39:09Z</dc:date>
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