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    <title>topic Re: Proc sgpanel - linearity in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215757#M11697</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;There was not much information about 'Panel of Regression' plot. Figure 4.4 in the document.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;May I request you to offer some help?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 06 Apr 2015 14:25:07 GMT</pubDate>
    <dc:creator>Babloo</dc:creator>
    <dc:date>2015-04-06T14:25:07Z</dc:date>
    <item>
      <title>Proc sgpanel - linearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215753#M11693</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I was using the below two procs to find out the linearity between dependent varaibles when my model statement for MANCOVA analysis is '&lt;EM&gt;model bal_mix bal=age gender&lt;/EM&gt;'; Regardless of gender (categorical) all the other variable is numerical variable.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555; font-weight: bold;"&gt;proc&lt;/SPAN&gt; &lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555; font-weight: bold;"&gt;sgpanel&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt; data=&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;scatter_data&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt; &lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;noautolegend&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;panelby&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt; gender / &lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;uniscale&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;=row;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;reg&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt; x=age y=&lt;/SPAN&gt;&lt;STRONG style="color: #555555; font-size: 10.5pt; font-family: Verdana;"&gt;bal_mix&lt;/STRONG&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt; / &lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;lineattrs&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;=(color=red thickness=&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555; font-weight: bold;"&gt;2&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;);&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555; font-weight: bold;"&gt;run&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555; font-weight: bold;"&gt;proc&lt;/SPAN&gt; &lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555; font-weight: bold;"&gt;sgpanel&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt; data=&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;scatter_data&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt; &lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;noautolegend&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&amp;nbsp; &lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;panelby&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt; gender / &lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;uniscale&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;=row;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&amp;nbsp; &lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;reg&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt; x=age y=&lt;/SPAN&gt;&lt;STRONG style="color: #555555; font-size: 10.5pt; font-family: Verdana;"&gt;bal&lt;/STRONG&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;/ &lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;lineattrs&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;=(color=red thickness=&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555; font-weight: bold;"&gt;2&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;);&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555; font-weight: bold;"&gt;run&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;SPAN style="font-size: 10.5pt; font-family: Verdana; color: #555555;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #555555; font-family: Verdana;"&gt;&lt;SPAN style="font-size: 10.5pt;"&gt;I wanted to make sure that these procs are correct to check the linearity. On a related note, what are the other procs to check the linearity to the &lt;/SPAN&gt;&lt;SPAN style="font-size: 14px;"&gt;dependent&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt;"&gt; &lt;/SPAN&gt;&lt;SPAN style="font-size: 14px;"&gt;variable&lt;/SPAN&gt;&lt;SPAN style="font-size: 10.5pt;"&gt;?&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 03 Apr 2015 12:58:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215753#M11693</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2015-04-03T12:58:56Z</dc:date>
    </item>
    <item>
      <title>Re: Proc sgpanel - linearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215754#M11694</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The graphics procedures are not the best way to check for linearity. Use PROC REG.&lt;/P&gt;&lt;P&gt;proc reg;&lt;/P&gt;&lt;P&gt;by gender;&lt;/P&gt;&lt;P&gt;model bal = age;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;You get lots of diagnostic plots.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 03 Apr 2015 14:00:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215754#M11694</guid>
      <dc:creator>lvm</dc:creator>
      <dc:date>2015-04-03T14:00:42Z</dc:date>
    </item>
    <item>
      <title>Re: Proc sgpanel - linearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215755#M11695</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;What about the other variable &lt;STRONG style="font-size: 10.5pt; font-family: Verdana; color: #555555; background-color: #ffffff;"&gt;bal_mix?&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Do I need to repeat a proc reg by modifying the variable name like below?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-size: 13px; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;proc reg;&lt;/P&gt;&lt;P style="font-size: 13px; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;by gender;&lt;/P&gt;&lt;P style="font-size: 13px; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;model bal_mix = age;&lt;/P&gt;&lt;P style="font-size: 13px; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;run;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 03 Apr 2015 14:12:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215755#M11695</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2015-04-03T14:12:27Z</dc:date>
    </item>
    <item>
      <title>Re: Proc sgpanel - linearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215756#M11696</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Of course. By the way, I highly recommend that you do some reading about regression analysis, and so on, using SAS. There is a great deal of on-line documentation; this forum can't teach you everything from scratch.&amp;nbsp; I suggest you start with Introduction Regression Procedures chapter in the User's Guide.&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/documentation/onlinedoc/stat/930/introreg.pdf" title="http://support.sas.com/documentation/onlinedoc/stat/930/introreg.pdf"&gt;http://support.sas.com/documentation/onlinedoc/stat/930/introreg.pdf&lt;/A&gt;&lt;/P&gt;&lt;P&gt;If you can get the book, I highly recommend that you read "SAS for Linear Models" (2002) by Littell et al. This came out before the SG graphics, but the material is thorough and clear. Book nicely moves into multivariate methods and also covariance analysis. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 03 Apr 2015 14:27:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215756#M11696</guid>
      <dc:creator>lvm</dc:creator>
      <dc:date>2015-04-03T14:27:31Z</dc:date>
    </item>
    <item>
      <title>Re: Proc sgpanel - linearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215757#M11697</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;There was not much information about 'Panel of Regression' plot. Figure 4.4 in the document.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;May I request you to offer some help?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 06 Apr 2015 14:25:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215757#M11697</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2015-04-06T14:25:07Z</dc:date>
    </item>
    <item>
      <title>Re: Proc sgpanel - linearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215758#M11698</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;These types of graphs are explained in modern regression textbook. Also in the REG chapter of the Stat User's Guide. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 06 Apr 2015 15:49:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215758#M11698</guid>
      <dc:creator>lvm</dc:creator>
      <dc:date>2015-04-06T15:49:01Z</dc:date>
    </item>
    <item>
      <title>Re: Proc sgpanel - linearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215759#M11699</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I've looked at &lt;A href="http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_odsgraph_sect003.htm" title="http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_odsgraph_sect003.htm"&gt;SAS/STAT(R) 9.2 User's Guide, Second Edition&lt;/A&gt; but we don't have better explanation whereas &lt;SPAN style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; font-size: 13px; background-color: #ffffff;"&gt;modern regression textbook is not available for free.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;May I request you to tell me (if possible) in a word or two to confirm the linearity by looking at the &lt;SPAN style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; font-size: 13px; background-color: #ffffff;"&gt;'Panel of Regression' plot?&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 07 Apr 2015 13:48:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-sgpanel-linearity/m-p/215759#M11699</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2015-04-07T13:48:51Z</dc:date>
    </item>
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