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    <title>topic Re: How do I create a correlation or fit model to identify power consumption increase? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/How-do-I-create-a-correlation-or-fit-model-to-identify-power/m-p/671539#M85951</link>
    <description>&lt;P&gt;I notice that you colored the points by year but did not include year in your model - I would add year as an effect.&amp;nbsp; But I believe your conjecture about how to proceed is appropriate - you can use the profiler to see the estimated power along with confidence intervals from your model.&amp;nbsp; I would only add that I think there might be a bit more accurate model lurking if you explore the behavior over time.&amp;nbsp; Month seems to entail both power and dP varying (with month as a nominal variable) and produces a slightly better model.&amp;nbsp; I don't understand your motor and the process at all, so that expertise probably would help understand how/why things might change throughout the year.&amp;nbsp; But I didn't see any interaction between the year and the effects of dP on power.&lt;/P&gt;</description>
    <pubDate>Sun, 27 Aug 2023 17:11:50 GMT</pubDate>
    <dc:creator>dale_lehman</dc:creator>
    <dc:date>2023-08-27T17:11:50Z</dc:date>
    <item>
      <title>How do I create a correlation or fit model to identify power consumption increase?</title>
      <link>https://community.jmp.com/t5/Discussions/How-do-I-create-a-correlation-or-fit-model-to-identify-power/m-p/671479#M85948</link>
      <description>&lt;P&gt;Hi, I am an absolute beginner in JMP and I am interested to know an accurate representation of what is the extra power that my motor will consume if the filter dP is at 1500 psi vs 2000 psi.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I did a multivariate analysis and using my process knowledge I am able to narrow down the parameters that will affect the power consumption. I did a preliminary test using fit model and able to create an equation with a pretty solid Rsquared however I am not sure if this is the right track. Should I then use the prediction profiler and set my dP at 1500 vs 2000 psi and look at the resulting power comparing those two?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 26 Aug 2023 15:44:02 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-do-I-create-a-correlation-or-fit-model-to-identify-power/m-p/671479#M85948</guid>
      <dc:creator>SpecificityCrow</dc:creator>
      <dc:date>2023-08-26T15:44:02Z</dc:date>
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    <item>
      <title>Re: How do I create a correlation or fit model to identify power consumption increase?</title>
      <link>https://community.jmp.com/t5/Discussions/How-do-I-create-a-correlation-or-fit-model-to-identify-power/m-p/671539#M85951</link>
      <description>&lt;P&gt;I notice that you colored the points by year but did not include year in your model - I would add year as an effect.&amp;nbsp; But I believe your conjecture about how to proceed is appropriate - you can use the profiler to see the estimated power along with confidence intervals from your model.&amp;nbsp; I would only add that I think there might be a bit more accurate model lurking if you explore the behavior over time.&amp;nbsp; Month seems to entail both power and dP varying (with month as a nominal variable) and produces a slightly better model.&amp;nbsp; I don't understand your motor and the process at all, so that expertise probably would help understand how/why things might change throughout the year.&amp;nbsp; But I didn't see any interaction between the year and the effects of dP on power.&lt;/P&gt;</description>
      <pubDate>Sun, 27 Aug 2023 17:11:50 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-do-I-create-a-correlation-or-fit-model-to-identify-power/m-p/671539#M85951</guid>
      <dc:creator>dale_lehman</dc:creator>
      <dc:date>2023-08-27T17:11:50Z</dc:date>
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