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    <title>topic Re: Define axis intercept for regression in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Define-axis-intercept-for-regression/m-p/698847#M88395</link>
    <description>&lt;P&gt;You can also specify such a model using the Nonlinear platform, but it is not as convenient as using Fit Least Squares with&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/1340"&gt;@Jordan_Hiller&lt;/a&gt;'s trick.&lt;/P&gt;</description>
    <pubDate>Wed, 15 Nov 2023 19:39:56 GMT</pubDate>
    <dc:creator>Mark_Bailey</dc:creator>
    <dc:date>2023-11-15T19:39:56Z</dc:date>
    <item>
      <title>Define axis intercept for regression</title>
      <link>https://community.jmp.com/t5/Discussions/Define-axis-intercept-for-regression/m-p/698769#M88388</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;Is it possible to specify the intercept for a linear regression under Fit Model?&lt;/P&gt;&lt;P&gt;This means that JMP does not freely select the value for "a" in the linear function y= a+b*x1+c*x2+.... but sets it to 1, for example.&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 15 Nov 2023 16:55:15 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Define-axis-intercept-for-regression/m-p/698769#M88388</guid>
      <dc:creator>LawOfWolf466</dc:creator>
      <dc:date>2023-11-15T16:55:15Z</dc:date>
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    <item>
      <title>Re: Define axis intercept for regression</title>
      <link>https://community.jmp.com/t5/Discussions/Define-axis-intercept-for-regression/m-p/698836#M88392</link>
      <description>&lt;P&gt;Here's a thought:&amp;nbsp;Rearrange the regression equation.&lt;/P&gt;
&lt;P&gt;y-a = b*x1+c*x2+...&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;This suggests that you can create a new formula data column that subtracts off your desired intercept a from the response variable y. Then run fit model on the new column using the "No Intercept" option (effectively setting the intercept to zero). You can re-add the desired intercept to the resulting prediction expression.&lt;/P&gt;</description>
      <pubDate>Wed, 15 Nov 2023 19:04:37 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Define-axis-intercept-for-regression/m-p/698836#M88392</guid>
      <dc:creator>Jordan_Hiller</dc:creator>
      <dc:date>2023-11-15T19:04:37Z</dc:date>
    </item>
    <item>
      <title>Re: Define axis intercept for regression</title>
      <link>https://community.jmp.com/t5/Discussions/Define-axis-intercept-for-regression/m-p/698847#M88395</link>
      <description>&lt;P&gt;You can also specify such a model using the Nonlinear platform, but it is not as convenient as using Fit Least Squares with&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/1340"&gt;@Jordan_Hiller&lt;/a&gt;'s trick.&lt;/P&gt;</description>
      <pubDate>Wed, 15 Nov 2023 19:39:56 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Define-axis-intercept-for-regression/m-p/698847#M88395</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2023-11-15T19:39:56Z</dc:date>
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