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    <title>topic forecasting with categorical and quantitative variables in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/forecasting-with-categorical-and-quantitative-variables/m-p/651548#M31274</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have a time series with the following independent variables:&lt;/P&gt;
&lt;P&gt;time, vendor, product, miles driven&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;time is the time variable&lt;/P&gt;
&lt;P&gt;vendor and product are categorical variables&lt;/P&gt;
&lt;P&gt;miles driven is a quantitative variable&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Will it be statistically correct if I did the following:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc autoreg data=MyData;
 class vendor product;
model sales = vendor product miles_driven;
 run; &lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Its just that the few times when I did time series I only had time as an independent variable, but here there are categorical and quantitative variables as well so I just want to make sure that using the proc autoreg will yield meaningful results.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thank you&lt;/P&gt;</description>
    <pubDate>Thu, 28 May 2020 20:40:09 GMT</pubDate>
    <dc:creator>ilikesas</dc:creator>
    <dc:date>2020-05-28T20:40:09Z</dc:date>
    <item>
      <title>forecasting with categorical and quantitative variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/forecasting-with-categorical-and-quantitative-variables/m-p/651548#M31274</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have a time series with the following independent variables:&lt;/P&gt;
&lt;P&gt;time, vendor, product, miles driven&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;time is the time variable&lt;/P&gt;
&lt;P&gt;vendor and product are categorical variables&lt;/P&gt;
&lt;P&gt;miles driven is a quantitative variable&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Will it be statistically correct if I did the following:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc autoreg data=MyData;
 class vendor product;
model sales = vendor product miles_driven;
 run; &lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Its just that the few times when I did time series I only had time as an independent variable, but here there are categorical and quantitative variables as well so I just want to make sure that using the proc autoreg will yield meaningful results.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thank you&lt;/P&gt;</description>
      <pubDate>Thu, 28 May 2020 20:40:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/forecasting-with-categorical-and-quantitative-variables/m-p/651548#M31274</guid>
      <dc:creator>ilikesas</dc:creator>
      <dc:date>2020-05-28T20:40:09Z</dc:date>
    </item>
    <item>
      <title>Re: forecasting with categorical and quantitative variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/forecasting-with-categorical-and-quantitative-variables/m-p/651692#M31280</link>
      <description>Better post it at Forecast Forum . It is about SAS/ETS .</description>
      <pubDate>Fri, 29 May 2020 11:47:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/forecasting-with-categorical-and-quantitative-variables/m-p/651692#M31280</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2020-05-29T11:47:53Z</dc:date>
    </item>
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