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    <title>topic Re: Logistic regression and seasonality in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-and-seasonality/m-p/244578#M12901</link>
    <description>&lt;P&gt;Yes, if your sample data is representative of your full data set/yearly data.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;No, if your sample data is not representative of your full data set/yearly data.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;So, is three months representative of your data? Without a year of data you can't know so you may as well get a year of data.&lt;/P&gt;</description>
    <pubDate>Wed, 20 Jan 2016 02:33:18 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2016-01-20T02:33:18Z</dc:date>
    <item>
      <title>Logistic regression and seasonality</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-and-seasonality/m-p/244520#M12899</link>
      <description>Hi.&lt;BR /&gt;&lt;BR /&gt;I have three months data from customer care center. Can I create a logistic model using just the 3 month data that can be used for entire year?&lt;BR /&gt;Thanks</description>
      <pubDate>Tue, 19 Jan 2016 19:49:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-and-seasonality/m-p/244520#M12899</guid>
      <dc:creator>Gs9971816752</dc:creator>
      <dc:date>2016-01-19T19:49:52Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic regression and seasonality</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-and-seasonality/m-p/244556#M12900</link>
      <description>&lt;P&gt;How is this a SAS forum topic? It is up to you to decide if those 3 months represent the entire year well. When seasonality is suspected or modelled it is because there is some kind of regular pattern that repeats every year (like temperature, sunshine, influenza, etc.)&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 19 Jan 2016 21:46:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-and-seasonality/m-p/244556#M12900</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2016-01-19T21:46:53Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic regression and seasonality</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-and-seasonality/m-p/244578#M12901</link>
      <description>&lt;P&gt;Yes, if your sample data is representative of your full data set/yearly data.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;No, if your sample data is not representative of your full data set/yearly data.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;So, is three months representative of your data? Without a year of data you can't know so you may as well get a year of data.&lt;/P&gt;</description>
      <pubDate>Wed, 20 Jan 2016 02:33:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-and-seasonality/m-p/244578#M12901</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2016-01-20T02:33:18Z</dc:date>
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