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    <title>topic Re: Model with great impact on multple linear regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314269#M16547</link>
    <description>&lt;PRE&gt;
No. The coefficient of variable only measure how much Y will change when X change one unit.

Y(x+1)-Y(x)=beta(x+1)-beta*x=beta

It doesn't measure the importance of variable to the model.
&lt;/PRE&gt;</description>
    <pubDate>Fri, 25 Nov 2016 10:50:23 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2016-11-25T10:50:23Z</dc:date>
    <item>
      <title>Model with great impact on multple linear regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314131#M16537</link>
      <description>&lt;P&gt;Hello!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Can anyone help me to identify how can I predict the most influential variable impacting the model in linear regression.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Which statistic or method I need to refer for this&lt;/P&gt;</description>
      <pubDate>Thu, 24 Nov 2016 16:39:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314131#M16537</guid>
      <dc:creator>sameer112217</dc:creator>
      <dc:date>2016-11-24T16:39:40Z</dc:date>
    </item>
    <item>
      <title>Re: Model with great impact on multple linear regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314138#M16539</link>
      <description>&lt;P&gt;Look at measures of &lt;STRONG&gt;&lt;EM&gt;variable importance&lt;/EM&gt;&lt;/STRONG&gt; in proc adaptivereg and proc pls.&lt;/P&gt;</description>
      <pubDate>Thu, 24 Nov 2016 19:53:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314138#M16539</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2016-11-24T19:53:47Z</dc:date>
    </item>
    <item>
      <title>Re: Model with great impact on multple linear regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314192#M16541</link>
      <description>&lt;P&gt;Check ANOVA table, the variable which has the smallest P-value should be the most significant variable.&lt;/P&gt;
&lt;P&gt;Or check the largest T-value .&lt;/P&gt;</description>
      <pubDate>Fri, 25 Nov 2016 03:00:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314192#M16541</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-11-25T03:00:15Z</dc:date>
    </item>
    <item>
      <title>Re: Model with great impact on multple linear regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314214#M16545</link>
      <description>&lt;P&gt;Hello Ksharp&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks for the reply. You mean smallest value or largest t value would have greatest impact or significance to the dependant variable. What about coeff var?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Sameer&lt;/P&gt;</description>
      <pubDate>Fri, 25 Nov 2016 06:33:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314214#M16545</guid>
      <dc:creator>sameer112217</dc:creator>
      <dc:date>2016-11-25T06:33:47Z</dc:date>
    </item>
    <item>
      <title>Re: Model with great impact on multple linear regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314269#M16547</link>
      <description>&lt;PRE&gt;
No. The coefficient of variable only measure how much Y will change when X change one unit.

Y(x+1)-Y(x)=beta(x+1)-beta*x=beta

It doesn't measure the importance of variable to the model.
&lt;/PRE&gt;</description>
      <pubDate>Fri, 25 Nov 2016 10:50:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314269#M16547</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-11-25T10:50:23Z</dc:date>
    </item>
    <item>
      <title>Re: Model with great impact on multple linear regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314384#M16556</link>
      <description>&lt;P&gt;Thanks for the help&lt;/P&gt;</description>
      <pubDate>Sat, 26 Nov 2016 00:15:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Model-with-great-impact-on-multple-linear-regression/m-p/314384#M16556</guid>
      <dc:creator>sameer112217</dc:creator>
      <dc:date>2016-11-26T00:15:32Z</dc:date>
    </item>
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