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    <title>topic Re: Correlation in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550416#M27475</link>
    <description>&lt;P&gt;You can calculate a correlation between any numeric variables that have 2 or more pairs of values.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The interpretation may be pretty difficult if there isn't much of a natural relationship such a number of hairs on your head and your first grade teachers dress size.&lt;/P&gt;</description>
    <pubDate>Thu, 11 Apr 2019 20:37:45 GMT</pubDate>
    <dc:creator>ballardw</dc:creator>
    <dc:date>2019-04-11T20:37:45Z</dc:date>
    <item>
      <title>Correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550338#M27470</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have three variables a,b, and c. Variable c is obtained by dividing a by b and multiplying by 100, in other words c=a/b*100.&lt;/P&gt;&lt;P&gt;Can I calculate a correlation or even a linear regression where the dependent variable is c and the explanatory variable is b; given that variable b was involved in calculating variable c? variables a and b are measured in a continuous scale.&lt;/P&gt;&lt;P&gt;Appreciate your help.&lt;/P&gt;</description>
      <pubDate>Thu, 11 Apr 2019 17:09:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550338#M27470</guid>
      <dc:creator>Jep</dc:creator>
      <dc:date>2019-04-11T17:09:14Z</dc:date>
    </item>
    <item>
      <title>Re: Correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550342#M27471</link>
      <description>&lt;P&gt;Yes, you can calculate a correlation.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Yes, you can calculate a regression.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Why don't you give it a try?&lt;/P&gt;</description>
      <pubDate>Thu, 11 Apr 2019 17:21:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550342#M27471</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-04-11T17:21:58Z</dc:date>
    </item>
    <item>
      <title>Re: Correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550374#M27472</link>
      <description>&lt;P&gt;I hope a scatter plot of (a[i], b[i]) shows a quadratic relationship that passes near the origin. That is what your model says:&lt;/P&gt;
&lt;P&gt;Find the least-squares values (beta0, beta1)such that&amp;nbsp;&lt;/P&gt;
&lt;P&gt;100*a[i] / b[i] ~ beta0 + beta1 * b[i]&lt;/P&gt;
&lt;P&gt;or&amp;nbsp;&lt;/P&gt;
&lt;P&gt;a[] ~ gamma0*b[i] + gamma1*b[i]^2&lt;/P&gt;
&lt;P&gt;Thus your model assumes a quadratic relationship (no intercept) between a and b. IMHO, it would be clearer to drop c and write the model as&lt;/P&gt;
&lt;P&gt;MODEL a = b b*b;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 11 Apr 2019 19:17:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550374#M27472</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2019-04-11T19:17:15Z</dc:date>
    </item>
    <item>
      <title>Re: Correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550416#M27475</link>
      <description>&lt;P&gt;You can calculate a correlation between any numeric variables that have 2 or more pairs of values.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The interpretation may be pretty difficult if there isn't much of a natural relationship such a number of hairs on your head and your first grade teachers dress size.&lt;/P&gt;</description>
      <pubDate>Thu, 11 Apr 2019 20:37:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550416#M27475</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2019-04-11T20:37:45Z</dc:date>
    </item>
    <item>
      <title>Re: Correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550618#M27477</link>
      <description>&lt;P&gt;Appreciate your reply. So I did run a regression and a correlation, but the question now is that, are the results/estimate valid given that one of the variables being compared was used in calculating the other variable being compared with?&lt;/P&gt;</description>
      <pubDate>Fri, 12 Apr 2019 13:26:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550618#M27477</guid>
      <dc:creator>Jep</dc:creator>
      <dc:date>2019-04-12T13:26:01Z</dc:date>
    </item>
    <item>
      <title>Re: Correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550623#M27478</link>
      <description>&lt;P&gt;Thanks for your reply. The scatter plot for a and b actually shows a linear positive relationship. But when I do a scatter plot for b and c, it shows a linear negative relationship or correlation. So the problem that I have is that is the estimate obtained by running a correlation or a linear regression between variable's b and c valid given that variable b was part of the variable used to obtain/calculate variable c?&lt;/P&gt;</description>
      <pubDate>Fri, 12 Apr 2019 13:33:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550623#M27478</guid>
      <dc:creator>Jep</dc:creator>
      <dc:date>2019-04-12T13:33:02Z</dc:date>
    </item>
    <item>
      <title>Re: Correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550652#M27479</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/179121"&gt;@Jep&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;Appreciate your reply. So I did run a regression and a correlation, but the question now is that, are the results/estimate valid given that one of the variables being compared was used in calculating the other variable being compared with?&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;Since we really know nothing about the problem, and we also don't know what use the correlation/regression will be put to, the answer is: "It depends".&lt;/P&gt;</description>
      <pubDate>Fri, 12 Apr 2019 14:21:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Correlation/m-p/550652#M27479</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-04-12T14:21:58Z</dc:date>
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