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    <title>topic Re: Slopes and Intercepts in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Slopes-and-Intercepts/m-p/249947#M13149</link>
    <description>&lt;P&gt;The coefficients of each x term are the slopes.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you set all the x to zero, you can calculate the intercept.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;This explains it well: &lt;A href="https://www.st-andrews.ac.uk/media/capod/students/mathssupport/Simple-linear-regression.pdf" target="_blank"&gt;https://www.st-andrews.ac.uk/media/capod/students/mathssupport/Simple-linear-regression.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Norman.&lt;/P&gt;</description>
    <pubDate>Sun, 14 Feb 2016 09:51:59 GMT</pubDate>
    <dc:creator>Norman21</dc:creator>
    <dc:date>2016-02-14T09:51:59Z</dc:date>
    <item>
      <title>Slopes and Intercepts</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Slopes-and-Intercepts/m-p/249943#M13146</link>
      <description>&lt;P&gt;In linear regression we have y=b0 +b1x&lt;/P&gt;&lt;P&gt;&amp;nbsp;where bo is the itercept and b1 is the slope.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;b1=y2-y1/x2-x1 ,by this we get the slope&lt;/P&gt;&lt;P&gt;and b0 we get by putting the x=0&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;In multiple linear regression we have Y=b0+b1x1+b2x2+b3x3&lt;/P&gt;&lt;P&gt;now here how can we get the intercept and slope??&lt;/P&gt;&lt;P&gt;For intercept do we need to put x1,x2 and x3 all to 0??&lt;/P&gt;</description>
      <pubDate>Sun, 14 Feb 2016 06:05:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Slopes-and-Intercepts/m-p/249943#M13146</guid>
      <dc:creator>pawandh</dc:creator>
      <dc:date>2016-02-14T06:05:28Z</dc:date>
    </item>
    <item>
      <title>Re: Slopes and Intercepts</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Slopes-and-Intercepts/m-p/249947#M13149</link>
      <description>&lt;P&gt;The coefficients of each x term are the slopes.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you set all the x to zero, you can calculate the intercept.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;This explains it well: &lt;A href="https://www.st-andrews.ac.uk/media/capod/students/mathssupport/Simple-linear-regression.pdf" target="_blank"&gt;https://www.st-andrews.ac.uk/media/capod/students/mathssupport/Simple-linear-regression.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Norman.&lt;/P&gt;</description>
      <pubDate>Sun, 14 Feb 2016 09:51:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Slopes-and-Intercepts/m-p/249947#M13149</guid>
      <dc:creator>Norman21</dc:creator>
      <dc:date>2016-02-14T09:51:59Z</dc:date>
    </item>
    <item>
      <title>Re: Slopes and Intercepts</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Slopes-and-Intercepts/m-p/250008#M13165</link>
      <description>&lt;P&gt;No. You can't . It is high dimension data. There are lots of&amp;nbsp;&lt;SPAN&gt; intercept and slope satisfied&amp;nbsp;multiple linear regression Y=b0+b1x1+b2x2+b3x3&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;But only one of them is nearest center(has the smallest NORM), and SAS use OLS or ML to get that one .&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 15 Feb 2016 01:46:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Slopes-and-Intercepts/m-p/250008#M13165</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-02-15T01:46:42Z</dc:date>
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