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    <title>topic Understanding logistic regression: outcome with multiple categories? in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Understanding-logistic-regression-outcome-with-multiple/m-p/729760#M227169</link>
    <description>&lt;P&gt;I'm using logistic regression to look at a single outcome variable (not multiple variables) that has multiple categories.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;While I understand the basic idea, I've never used SAS to do this before; how do I interpret the output? I see:&lt;/P&gt;
&lt;DIV class="branch"&gt;
&lt;DIV&gt;
&lt;DIV align="center"&gt;
&lt;TABLE class="proctitle"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="c proctitle"&gt;Probabilities modeled are cumulated over the lower Ordered Values.&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;But I'm not sure exactly what that means.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;How can I ensure I'm looking at a specific outcome category? Would it be easier to code several dichotomous dummy variables for each category?&lt;/P&gt;</description>
    <pubDate>Mon, 29 Mar 2021 12:26:29 GMT</pubDate>
    <dc:creator>SAS93</dc:creator>
    <dc:date>2021-03-29T12:26:29Z</dc:date>
    <item>
      <title>Understanding logistic regression: outcome with multiple categories?</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Understanding-logistic-regression-outcome-with-multiple/m-p/729760#M227169</link>
      <description>&lt;P&gt;I'm using logistic regression to look at a single outcome variable (not multiple variables) that has multiple categories.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;While I understand the basic idea, I've never used SAS to do this before; how do I interpret the output? I see:&lt;/P&gt;
&lt;DIV class="branch"&gt;
&lt;DIV&gt;
&lt;DIV align="center"&gt;
&lt;TABLE class="proctitle"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="c proctitle"&gt;Probabilities modeled are cumulated over the lower Ordered Values.&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;But I'm not sure exactly what that means.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;How can I ensure I'm looking at a specific outcome category? Would it be easier to code several dichotomous dummy variables for each category?&lt;/P&gt;</description>
      <pubDate>Mon, 29 Mar 2021 12:26:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Understanding-logistic-regression-outcome-with-multiple/m-p/729760#M227169</guid>
      <dc:creator>SAS93</dc:creator>
      <dc:date>2021-03-29T12:26:29Z</dc:date>
    </item>
    <item>
      <title>Re: Understanding logistic regression: outcome with multiple categories?</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Understanding-logistic-regression-outcome-with-multiple/m-p/729763#M227171</link>
      <description>&lt;P&gt;Here's an example:&amp;nbsp;&lt;A href="https://documentation.sas.com/?cdcId=pgmsascdc&amp;amp;cdcVersion=9.4_3.4&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_logistic_examples03.htm&amp;amp;locale=en"&gt;https://documentation.sas.com/?cdcId=pgmsascdc&amp;amp;cdcVersion=9.4_3.4&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_logistic_examples03.htm&amp;amp;locale=en&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can see if you scroll down to Output 73.6.5 what the cumulative probabilities look like for this data.&lt;/P&gt;</description>
      <pubDate>Mon, 29 Mar 2021 12:38:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Understanding-logistic-regression-outcome-with-multiple/m-p/729763#M227171</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2021-03-29T12:38:52Z</dc:date>
    </item>
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