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    <title>topic Efficient way to predict a Categorical variable using continuous independant variable in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Efficient-way-to-predict-a-Categorical-variable-using-continuous/m-p/22041#M712</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; You have several options. Since your response variable is ordinal, read this example to see if ordinal logistic regression fits your needs:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect061.htm"&gt;http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect061.htm&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 05 Mar 2012 15:03:11 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2012-03-05T15:03:11Z</dc:date>
    <item>
      <title>Efficient way to predict a Categorical variable using continuous independant variable</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Efficient-way-to-predict-a-Categorical-variable-using-continuous/m-p/22040#M711</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hey guys...&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have to build a model to predict a categorical information (income size) on a group of people using continuous variables like sales, units etc.. which is the best way to do it in sas?&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;I tried biulding a GLM, but couldn't interpret the results...any help on this?&lt;/P&gt;&lt;P&gt;Another method I tried was replacing the categorical information with numbers and try biulding a normal regression analysis on it, will that work?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks in advance!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 05 Mar 2012 14:57:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Efficient-way-to-predict-a-Categorical-variable-using-continuous/m-p/22040#M711</guid>
      <dc:creator>DrZenith</dc:creator>
      <dc:date>2012-03-05T14:57:18Z</dc:date>
    </item>
    <item>
      <title>Efficient way to predict a Categorical variable using continuous independant variable</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Efficient-way-to-predict-a-Categorical-variable-using-continuous/m-p/22041#M712</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; You have several options. Since your response variable is ordinal, read this example to see if ordinal logistic regression fits your needs:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect061.htm"&gt;http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect061.htm&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 05 Mar 2012 15:03:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Efficient-way-to-predict-a-Categorical-variable-using-continuous/m-p/22041#M712</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2012-03-05T15:03:11Z</dc:date>
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