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    <title>topic Re: main effect of two variables, which one overweighs the other? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/main-effect-of-two-variables-which-one-overweighs-the-other/m-p/219222#M43886</link>
    <description>&lt;P&gt;Turn on the profiler (red triangle&amp;gt;factor profiling&amp;gt;profiler.&lt;/P&gt;
&lt;P&gt;This will give you a graphical rendition of the model, showing the effects of each of the factors on the response.&amp;nbsp; The relative magnitude of effects should be obvious from the graph.&lt;/P&gt;
&lt;P&gt;See also &lt;A href="https://www.jmp.com/support/help/14-2/interpret-the-profiles.shtml" target="_self"&gt;how to interpret the profiles&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 30 Jul 2019 22:10:22 GMT</pubDate>
    <dc:creator>David_Burnham</dc:creator>
    <dc:date>2019-07-30T22:10:22Z</dc:date>
    <item>
      <title>main effect of two variables, which one overweighs the other?</title>
      <link>https://community.jmp.com/t5/Discussions/main-effect-of-two-variables-which-one-overweighs-the-other/m-p/218861#M43806</link>
      <description>&lt;P&gt;I have two independent variables tempo and mode (major, minor). Their main effects and interaction effects both are statistically significant. (Values in the attached picture) in determining emotional response.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;How do I come to know which one overweighs the other? In other words, how do I come to know if tempo influences emotional response more than the mode or vice versa?&lt;/P&gt;</description>
      <pubDate>Fri, 26 Jul 2019 15:37:28 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/main-effect-of-two-variables-which-one-overweighs-the-other/m-p/218861#M43806</guid>
      <dc:creator>2605</dc:creator>
      <dc:date>2019-07-26T15:37:28Z</dc:date>
    </item>
    <item>
      <title>Re: main effect of two variables, which one overweighs the other?</title>
      <link>https://community.jmp.com/t5/Discussions/main-effect-of-two-variables-which-one-overweighs-the-other/m-p/218870#M43807</link>
      <description>&lt;P&gt;One thing to watch out for.&amp;nbsp; Your residual by predicted plot is pretty telling about how your data is distributed, it looks more like a binomial distribution than a continuous range.&amp;nbsp; There is some scatter at the high end of the response, but virtually none at the low end.&amp;nbsp; You would like to see a random scatter along the continuum to have a better feel for whether or not you have the "best" possible model based on the predictors you have used to build the model.&amp;nbsp; You may want to convert your response to a categorical (low and high) and redo the model as logistic regression if nothing else than for comparison sakes.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Looking at your Prob &amp;gt; ItI values you could say that Mode(major) is the most important variable and may have the largest influence.&amp;nbsp; You also have a very important interaction term that will influence your overall decision.&amp;nbsp; Go the red hotspot by Response NH... and go to Factor Profiling.&amp;nbsp; Turn on the Profiler.&amp;nbsp; The Prediction Profiler will show up at the bottom of the fit report.&amp;nbsp; Click on the red hotspot by Prediction Profiler and go to Assess Variable Importance and select Independent Uniform Inputs.&amp;nbsp; &amp;nbsp;Your Prediction Profiler will be reordered in the order of importance for your predictors.&amp;nbsp; You will also get a report that shows the order.&amp;nbsp; Check these features out and see if this is the direction you were looking to go in.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;HTH&lt;/P&gt;
&lt;P&gt;Bill&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 26 Jul 2019 16:10:42 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/main-effect-of-two-variables-which-one-overweighs-the-other/m-p/218870#M43807</guid>
      <dc:creator>Bill_Worley</dc:creator>
      <dc:date>2019-07-26T16:10:42Z</dc:date>
    </item>
    <item>
      <title>Re: main effect of two variables, which one overweighs the other?</title>
      <link>https://community.jmp.com/t5/Discussions/main-effect-of-two-variables-which-one-overweighs-the-other/m-p/219222#M43886</link>
      <description>&lt;P&gt;Turn on the profiler (red triangle&amp;gt;factor profiling&amp;gt;profiler.&lt;/P&gt;
&lt;P&gt;This will give you a graphical rendition of the model, showing the effects of each of the factors on the response.&amp;nbsp; The relative magnitude of effects should be obvious from the graph.&lt;/P&gt;
&lt;P&gt;See also &lt;A href="https://www.jmp.com/support/help/14-2/interpret-the-profiles.shtml" target="_self"&gt;how to interpret the profiles&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 30 Jul 2019 22:10:22 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/main-effect-of-two-variables-which-one-overweighs-the-other/m-p/219222#M43886</guid>
      <dc:creator>David_Burnham</dc:creator>
      <dc:date>2019-07-30T22:10:22Z</dc:date>
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