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    <title>topic DOE - Compare Slopes in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886514#M104895</link>
    <description>&lt;P&gt;I have data from a 3x3 DOE but testing 2 standard concentrations. I want to compare the slopes between each condition but am not sure how to do this. I was fiddling with Fit model but am unsure how to add the slope for the response comparison.&lt;/P&gt;
&lt;P&gt;Using JMP 18.1.10.&lt;/P&gt;</description>
    <pubDate>Sat, 12 Jul 2025 03:36:08 GMT</pubDate>
    <dc:creator>LadderMonster</dc:creator>
    <dc:date>2025-07-12T03:36:08Z</dc:date>
    <item>
      <title>DOE - Compare Slopes</title>
      <link>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886514#M104895</link>
      <description>&lt;P&gt;I have data from a 3x3 DOE but testing 2 standard concentrations. I want to compare the slopes between each condition but am not sure how to do this. I was fiddling with Fit model but am unsure how to add the slope for the response comparison.&lt;/P&gt;
&lt;P&gt;Using JMP 18.1.10.&lt;/P&gt;</description>
      <pubDate>Sat, 12 Jul 2025 03:36:08 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886514#M104895</guid>
      <dc:creator>LadderMonster</dc:creator>
      <dc:date>2025-07-12T03:36:08Z</dc:date>
    </item>
    <item>
      <title>Re: DOE - Compare Slopes</title>
      <link>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886554#M104898</link>
      <description>&lt;P&gt;First, welcome to the community. &amp;nbsp;There is not very much information provided, so it is difficult to provide specific advice.&amp;nbsp; It is helpful to attach your data table. &amp;nbsp; Let me see if I understand...You have an experiment that has 3 factors at 3 levels, so 27 treatments, correct? &amp;nbsp;What does "but testing 2 standards concentrations" mean? &amp;nbsp;Are you replicating the 27 treatments for 2 different concentrations? &amp;nbsp;Or are you repeating each treatment with 2 concentrations? &amp;nbsp;&lt;/P&gt;
&lt;P&gt;What are the response variables? &amp;nbsp;Since you are indicating there is some sort of slope, I imagine you are taking measurements during the treatment (perhaps a measure of degradation or change in viscosity). &amp;nbsp;You are therefore interested in the rate of change. &amp;nbsp;This you could calculate from the data and use as a response variable (along with mean and standard deviation). &amp;nbsp;If the data approximates a linear relationship, the calculation of slope is easy and you could fit a line to the data and JMP can give you the slope. &amp;nbsp;If there is significant departure from linear, slopes are more difficult to calculate.&lt;/P&gt;</description>
      <pubDate>Sat, 12 Jul 2025 15:07:21 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886554#M104898</guid>
      <dc:creator>statman</dc:creator>
      <dc:date>2025-07-12T15:07:21Z</dc:date>
    </item>
    <item>
      <title>Re: DOE - Compare Slopes</title>
      <link>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886764#M104918</link>
      <description>&lt;P&gt;Hi Statman,&lt;/P&gt;
&lt;P&gt;Apologies, it's my first post. The data is now attached.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have an experiment that has 3 components Component A, B, and C. There were two dilutions tested (%Dilution). The responses are Y1 and Y2. I want to compare the effect of the different components on the slopes of the two responses between the two %Dilutions (15 and 60).&lt;/P&gt;
&lt;P&gt;I wanted to use the Fit model but am unsure how to easily compare the slopes.&lt;/P&gt;
&lt;P&gt;Thanks in advance!&lt;/P&gt;</description>
      <pubDate>Mon, 14 Jul 2025 16:37:50 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886764#M104918</guid>
      <dc:creator>LadderMonster</dc:creator>
      <dc:date>2025-07-14T16:37:50Z</dc:date>
    </item>
    <item>
      <title>Re: DOE - Compare Slopes</title>
      <link>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886768#M104919</link>
      <description>&lt;P&gt;Not sure what kind of experiment you ran? &amp;nbsp;Component A is certainly biased to level 1. &amp;nbsp;What model were you using to design this experiment? &amp;nbsp;B&amp;amp;C make a 3^2, but A is not orthogonal? &amp;nbsp;How were the 10 data points for each Y gotten for each treatment? &amp;nbsp;Are those repeats? Are they in time series?&lt;/P&gt;
&lt;P&gt;There are a number of outliers also detected. &amp;nbsp;Perhaps you need to investigate those and then decide what to do with those data points. &amp;nbsp;Once you have considered that, you will use the 10 data points per treatment to calculate a slope (rise/run) for each Y. &amp;nbsp;Analyze the slopes as the Y in fit model.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I'd start by looking at the data. &amp;nbsp;Also make sure the variation ids of practical significance before doing any quantitative analysis. &amp;nbsp;I added some simple scripts to your data table (Multivariate, and graph builder by factor)&lt;/P&gt;</description>
      <pubDate>Mon, 14 Jul 2025 17:20:36 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886768#M104919</guid>
      <dc:creator>statman</dc:creator>
      <dc:date>2025-07-14T17:20:36Z</dc:date>
    </item>
    <item>
      <title>Re: DOE - Compare Slopes</title>
      <link>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886769#M104920</link>
      <description>&lt;P&gt;If you want to check if the slope of Y vs X1 is statistically different from Y vs X2, then look at the p-value of the X1*X2 regression term.&amp;nbsp; If it's low, the slopes are statistically different.&lt;/P&gt;</description>
      <pubDate>Mon, 14 Jul 2025 17:24:10 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/DOE-Compare-Slopes/m-p/886769#M104920</guid>
      <dc:creator>Mark_Zwald</dc:creator>
      <dc:date>2025-07-14T17:24:10Z</dc:date>
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