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    <title>topic Re: Anocova examples in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211781#M11450</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The covariates are selected based on the science of the problem.&amp;nbsp; The covariate is expected to be continuous* and it's relationship to the dependent variable is assumed to be linear. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;*by the Central Limit Theorem, a binary (0/1 coded) covariate meets the criteria if the sample size is sufficient.&amp;nbsp; For 'how big is big enough', you need to reference some of the linear models textbooks.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 02 Apr 2015 18:28:51 GMT</pubDate>
    <dc:creator>Doc_Duke</dc:creator>
    <dc:date>2015-04-02T18:28:51Z</dc:date>
    <item>
      <title>Anocova examples</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211776#M11445</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I was looking for example (or a case study) to implement Anocova technique in my data which holds customer transaction data?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Please someone help me in this regards.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 27 Mar 2015 12:57:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211776#M11445</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2015-03-27T12:57:20Z</dc:date>
    </item>
    <item>
      <title>Re: Anocova examples</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211777#M11446</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Without more detail to your query, it is had to do much more than point you to the proper procedure and tell you to read the documentation.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;ANCOVA is a special case of the General Linear Model.&amp;nbsp; If straightforward, I might first approach it using PROC GLM.&amp;nbsp; If you do a Google search for&lt;/P&gt;&lt;P&gt;ancova site:sas.com&lt;/P&gt;&lt;P&gt;you will find a number of relevant hits that your data might fit into.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If your transaction data has repeats within customer then you might be in the area of mixed models.&amp;nbsp; The Google search I mentioned also includes some references to those.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 27 Mar 2015 19:49:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211777#M11446</guid>
      <dc:creator>Doc_Duke</dc:creator>
      <dc:date>2015-03-27T19:49:42Z</dc:date>
    </item>
    <item>
      <title>Re: Anocova examples</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211778#M11447</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I read the ANCOVA procedure and was looking to implement with my available data. I searched for the documentation and couldn't figure out the complete one.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;May I request you to provide me the link to utilize the example which you want me to look for?&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>Sat, 28 Mar 2015 07:38:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211778#M11447</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2015-03-28T07:38:49Z</dc:date>
    </item>
    <item>
      <title>Re: Anocova examples</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211779#M11448</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;To repeat, "Without more detail to your query, it is had to do much more than point you to the proper procedure and tell you to read the documentation."&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 30 Mar 2015 14:34:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211779#M11448</guid>
      <dc:creator>Doc_Duke</dc:creator>
      <dc:date>2015-03-30T14:34:45Z</dc:date>
    </item>
    <item>
      <title>Re: Anocova examples</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211780#M11449</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;How to select the covariate for ANOCOVA? Is that OK if it is continuous and linearly related to the dependent varaible?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 31 Mar 2015 11:36:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211780#M11449</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2015-03-31T11:36:29Z</dc:date>
    </item>
    <item>
      <title>Re: Anocova examples</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211781#M11450</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The covariates are selected based on the science of the problem.&amp;nbsp; The covariate is expected to be continuous* and it's relationship to the dependent variable is assumed to be linear. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;*by the Central Limit Theorem, a binary (0/1 coded) covariate meets the criteria if the sample size is sufficient.&amp;nbsp; For 'how big is big enough', you need to reference some of the linear models textbooks.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 02 Apr 2015 18:28:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Anocova-examples/m-p/211781#M11450</guid>
      <dc:creator>Doc_Duke</dc:creator>
      <dc:date>2015-04-02T18:28:51Z</dc:date>
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