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    <title>topic How to correlation diagram with motor severity score Y using a graph builder by adjusting biomarker X according to age and gender in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/How-to-correlation-diagram-with-motor-severity-score-Y-using-a/m-p/424194#M67341</link>
    <description>&lt;P&gt;We would like to clarify whether there is a linear relationship between biomarker X (DATQUANT: dependent variable) and motor severity score Y (MDS-UPDRS-3: explanatory variable). Since age and biological sex influence the biomarker X, we considered them as covariates. We would like to conduct multiple regression.&lt;/P&gt;&lt;P&gt;[X (DATQUANT: dependent variable)] = a1*Y (MDS-UPDRS-3: explanatory variable) + a2*[age] + a3 + residuals&lt;/P&gt;&lt;P&gt;a1, a2 : slope coefficients for each explanatory variable&lt;/P&gt;&lt;P&gt;a3: constant term for biological sex&lt;/P&gt;&lt;P&gt;Now we would like to visualize the relationship between [age and sex adjusted (DATQUANT: dependent variable)] and Y (MDS-UPDRS-3: explanatory variable) So we would like to prepare scatter plot adjusted X (a1*[X(DATQUANT: continusous variable)] - a2*[age] - a3) vs. Y (MDS-UPDRS-3: dependent variable) We would appreciate it very much if you could give us comments and suggestions. Many thanks in advance.&lt;/P&gt;</description>
    <pubDate>Sun, 11 Jun 2023 11:18:06 GMT</pubDate>
    <dc:creator>KF2</dc:creator>
    <dc:date>2023-06-11T11:18:06Z</dc:date>
    <item>
      <title>How to correlation diagram with motor severity score Y using a graph builder by adjusting biomarker X according to age and gender</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-correlation-diagram-with-motor-severity-score-Y-using-a/m-p/424194#M67341</link>
      <description>&lt;P&gt;We would like to clarify whether there is a linear relationship between biomarker X (DATQUANT: dependent variable) and motor severity score Y (MDS-UPDRS-3: explanatory variable). Since age and biological sex influence the biomarker X, we considered them as covariates. We would like to conduct multiple regression.&lt;/P&gt;&lt;P&gt;[X (DATQUANT: dependent variable)] = a1*Y (MDS-UPDRS-3: explanatory variable) + a2*[age] + a3 + residuals&lt;/P&gt;&lt;P&gt;a1, a2 : slope coefficients for each explanatory variable&lt;/P&gt;&lt;P&gt;a3: constant term for biological sex&lt;/P&gt;&lt;P&gt;Now we would like to visualize the relationship between [age and sex adjusted (DATQUANT: dependent variable)] and Y (MDS-UPDRS-3: explanatory variable) So we would like to prepare scatter plot adjusted X (a1*[X(DATQUANT: continusous variable)] - a2*[age] - a3) vs. Y (MDS-UPDRS-3: dependent variable) We would appreciate it very much if you could give us comments and suggestions. Many thanks in advance.&lt;/P&gt;</description>
      <pubDate>Sun, 11 Jun 2023 11:18:06 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-correlation-diagram-with-motor-severity-score-Y-using-a/m-p/424194#M67341</guid>
      <dc:creator>KF2</dc:creator>
      <dc:date>2023-06-11T11:18:06Z</dc:date>
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    <item>
      <title>Re: How to correlation diagram with motor severity score Y using a graph builder by adjusting biomarker X according to age and gender</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-correlation-diagram-with-motor-severity-score-Y-using-a/m-p/426123#M67578</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;I attach a version of your data table with models.&lt;/P&gt;
&lt;P&gt;The full model includes all variables. From the prediction profiler you can see the effect of your explanatory variable and the covariates. Sex is not a big effect.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Phil_Kay_0-1634140356248.png" style="width: 999px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/36538i54DA4169B8848485/image-size/large?v=v2&amp;amp;px=999" role="button" title="Phil_Kay_0-1634140356248.png" alt="Phil_Kay_0-1634140356248.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The next model has only sex and age. From this model we save the residuals: Red triangle menu &amp;gt; Save Columns &amp;gt; Residuals.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Then we take the intercept from this model and add it to the residuals to create a new column, which is the dependent variable corrected for the effect of age and sex.&lt;/P&gt;
&lt;P&gt;Finally we plot this corrected dependent variable versus the explanatory variable:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Phil_Kay_1-1634140992142.png" style="width: 999px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/36539iCEF1784D8C1D5395/image-size/large?v=v2&amp;amp;px=999" role="button" title="Phil_Kay_1-1634140992142.png" alt="Phil_Kay_1-1634140992142.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hope this helps.&lt;/P&gt;
&lt;P&gt;Phil&lt;/P&gt;</description>
      <pubDate>Wed, 13 Oct 2021 16:04:36 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-correlation-diagram-with-motor-severity-score-Y-using-a/m-p/426123#M67578</guid>
      <dc:creator>Phil_Kay</dc:creator>
      <dc:date>2021-10-13T16:04:36Z</dc:date>
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