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    <title>topic Re: Logistic Regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression/m-p/369025#M19360</link>
    <description>&lt;P&gt;How do you know you have a good model.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;What are your parameter estimates and the corresponding odds ratio?&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 21 Jun 2017 06:33:43 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2017-06-21T06:33:43Z</dc:date>
    <item>
      <title>Logistic Regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression/m-p/369009#M19358</link>
      <description>&lt;P&gt;i implemented a binary logistic regression model based on my Assignment, the dependent variable was “churn “. I got a good model. In that assignment there are&amp;nbsp;some questions. One question is,&lt;/P&gt;&lt;P&gt;?. What are the top five factors driving likelihood of churn at Mobicom?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;How can i answer this question.? which parameter or measure&amp;nbsp; should i choose to find the top 5 factors.please help me.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 21 Jun 2017 05:31:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression/m-p/369009#M19358</guid>
      <dc:creator>NVN</dc:creator>
      <dc:date>2017-06-21T05:31:33Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic Regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression/m-p/369024#M19359</link>
      <description>&lt;P&gt;When you posted your question, you saw this:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Stop right there!&lt;/STRONG&gt; Before pressing POST, tick off this checklist. Does your post …&lt;/P&gt;
&lt;TABLE align="left" border="1" cellpadding="5" cellspacing="5" width="75%"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD&gt;✔ Have a descriptive subject line, i.e., How do I ‘XYZ’?&lt;/TD&gt;
&lt;TD&gt;✔ Use simple language and provide context? Definitely mention what version you’re on.&lt;/TD&gt;
&lt;TD&gt;✔ Include code and example data? Consider using the &lt;A href="https://communities.sas.com/t5/Community-Memo/Getting-the-Most-from-Your-Post-SAS-Syntax-Highlighter/ba-p/230172" target="_blank"&gt;SAS Syntax feature&lt;/A&gt;.&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Please note the third section. Post the code you used and some example data to run the code against.&lt;/P&gt;</description>
      <pubDate>Wed, 21 Jun 2017 06:23:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression/m-p/369024#M19359</guid>
      <dc:creator>Kurt_Bremser</dc:creator>
      <dc:date>2017-06-21T06:23:32Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic Regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression/m-p/369025#M19360</link>
      <description>&lt;P&gt;How do you know you have a good model.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;What are your parameter estimates and the corresponding odds ratio?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 21 Jun 2017 06:33:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression/m-p/369025#M19360</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2017-06-21T06:33:43Z</dc:date>
    </item>
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