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    <title>topic Re: equivalence test for regression coefficients in SAS Enterprise Guide</title>
    <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696835#M37454</link>
    <description>&lt;P&gt;Thanks a lot! Now i could get the&amp;nbsp; estimated coefficients for the interaction variables. But what does the&amp;nbsp; figure on analysis of Covariance of&amp;nbsp;InvestKArFP variable mean?&amp;nbsp;Can I say anything about if the estimated coefficients are significantly different from each other or not? Sorry that I don't know how to send the results so that you could exp&lt;/P&gt;&lt;P&gt;with best regards.&lt;/P&gt;&lt;DIV class="mceNonEditable lia-copypaste-placeholder"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV class="mceNonEditable lia-copypaste-placeholder"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;DIV class="mceNonEditable lia-copypaste-placeholder"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;DIV class="mceNonEditable lia-copypaste-placeholder"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 05 Nov 2020 12:14:58 GMT</pubDate>
    <dc:creator>yesa</dc:creator>
    <dc:date>2020-11-05T12:14:58Z</dc:date>
    <item>
      <title>equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696465#M37437</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;I ran a linera regression model to test the hypthesis that marginal cost for all the groups are equal. The estimated parameters are different among the groups. I need to test if the estimated parameters&amp;nbsp; are equivalent to each other. If it is Wald test how can I write the code in SAS enterprise guide?&lt;/P&gt;&lt;P&gt;thanks in advance.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 04 Nov 2020 12:29:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696465#M37437</guid>
      <dc:creator>yesa</dc:creator>
      <dc:date>2020-11-04T12:29:30Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696471#M37438</link>
      <description>&lt;P&gt;What PROC did you use? Can you show us the code?&lt;/P&gt;</description>
      <pubDate>Wed, 04 Nov 2020 12:36:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696471#M37438</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-04T12:36:46Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696487#M37439</link>
      <description>&lt;P&gt;proc reg data=egen.finaldataenergisteg1;&lt;BR /&gt;model InvestKArFP= AInBes1 AInBes2 AInBes3 AInBes4 AInBes5 AInBes6 AInBes8 AInBes9 AInBes10 AInBes11 ;&lt;BR /&gt;run;&lt;BR /&gt;quit;&lt;/P&gt;&lt;P&gt;Note that may dependent variable is investmentscost and the inpendent variables are dummy variables for energysaving for different groups. If it is group 1 (AInBes1) the dummy variable takes value 1 for group 1 and 0 otherwise. I have ten dummy variables for ten different groups.&lt;/P&gt;&lt;P&gt;I need to test if the estimated pratameters of the dummy variables are equal?&lt;/P&gt;</description>
      <pubDate>Wed, 04 Nov 2020 13:01:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696487#M37439</guid>
      <dc:creator>yesa</dc:creator>
      <dc:date>2020-11-04T13:01:41Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696494#M37440</link>
      <description>&lt;P&gt;My understanding is this:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You want to test if the coefficient of dummy variable&amp;nbsp;&lt;SPAN&gt;AInBes1 is equal to the coefficient of dummy variable AInBes2 and those are equal to the coefficient of dummy variable AInBes3 and so on ...&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Is that correct?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;If so, then you don't need dummy variables at all, you need the original category variable which has 11 levels, and which I will assume was named&amp;nbsp;AInBes. Then you can do the test in PROC GLM&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glm data=egen.finaldataenergisteg1;
    class AInBes;
    model investkarfp = AInBes;
    means AInBes/t lines;
run; quit;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;The test for AInBes is the test you want. If you find that this indicates significant differences between the levels of AInBes, then you can use the results from the MEANS command to determine which levels are different from which other levels.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 04 Nov 2020 13:20:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696494#M37440</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-04T13:20:13Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696500#M37441</link>
      <description>&lt;P&gt;I think we have got little missunderstaning here. Rather it might seem that I have made mistake in creating the variables. I have created AInBes1, AInBes2.......AInBes11 by multiplying the&amp;nbsp; "energisaving" variable with different dummy variables to create an interaction variable. I mean I created dummy variable for each group and then created interaction variable by multiplying these dummy variables with the&amp;nbsp;energisaving variable. And finally the&amp;nbsp;AInBes1, AInBes2.......AInBes11 variables take values either a number for energisaving i kilowatthour or zero otherwise.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 04 Nov 2020 13:34:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696500#M37441</guid>
      <dc:creator>yesa</dc:creator>
      <dc:date>2020-11-04T13:34:23Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696503#M37442</link>
      <description>&lt;P&gt;Minor change to the code I showed. This is what you want:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glm data=egen.finaldataenergisteg1;
    class AInBes;
    model investkarfp = &lt;SPAN&gt;energisaving*&lt;/SPAN&gt;AInBes;
run; quit;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Again, you don't have to create dummy variables. The test for&amp;nbsp;&lt;SPAN&gt;energisaving*ainbes is what you want.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 04 Nov 2020 13:40:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696503#M37442</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-04T13:40:33Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696510#M37443</link>
      <description>&lt;P&gt;I am sorry, I think I was not clear enough to describe my question. At first I want 10 different estimated coefficients för 10 different interaction variables and then I want to test if the estimated coefficients are significantly different from each other. I want to say something about if all the different groups had same marginal investment cost for energysavings measures.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 04 Nov 2020 13:52:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696510#M37443</guid>
      <dc:creator>yesa</dc:creator>
      <dc:date>2020-11-04T13:52:50Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696523#M37444</link>
      <description>&lt;P&gt;One modification, if this doesn't do it, then you will need to describe further, please start by showing us a portion of the data BEFORE you created the dummy variables&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glm data=egen.finaldataenergisteg1;
    class AInBes;
    model investkarfp = energisaving*AInBes/solution;
run; quit;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 04 Nov 2020 14:44:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696523#M37444</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-04T14:44:45Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696644#M37447</link>
      <description>&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;projekt&lt;/TD&gt;&lt;TD&gt;InvestKArFP&lt;/TD&gt;&lt;TD&gt;atg_rder&lt;/TD&gt;&lt;TD&gt;InvBesKWhAr&lt;/TD&gt;&lt;TD&gt;atgrd1&lt;/TD&gt;&lt;TD&gt;atgrd2&lt;/TD&gt;&lt;TD&gt;atgrd3&lt;/TD&gt;&lt;TD&gt;atgrd4&lt;/TD&gt;&lt;TD&gt;atgrd5&lt;/TD&gt;&lt;TD&gt;atgrd6&lt;/TD&gt;&lt;TD&gt;atgrd7&lt;/TD&gt;&lt;TD&gt;atgrd8&lt;/TD&gt;&lt;TD&gt;atgrd9&lt;/TD&gt;&lt;TD&gt;atgrd10&lt;/TD&gt;&lt;TD&gt;atgrd11&lt;/TD&gt;&lt;TD&gt;AInBes1&lt;/TD&gt;&lt;TD&gt;AInBes2&lt;/TD&gt;&lt;TD&gt;AInBes3&lt;/TD&gt;&lt;TD&gt;AInBes4&lt;/TD&gt;&lt;TD&gt;AInBes5&lt;/TD&gt;&lt;TD&gt;AInBes6&lt;/TD&gt;&lt;TD&gt;AInBes8&lt;/TD&gt;&lt;TD&gt;AInBes9&lt;/TD&gt;&lt;TD&gt;AInBes10&lt;/TD&gt;&lt;TD&gt;AInBes11&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;P47035-1&lt;/TD&gt;&lt;TD&gt;8045,358471&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;P47087-1&lt;/TD&gt;&lt;TD&gt;75311,3264&lt;/TD&gt;&lt;TD&gt;2&lt;/TD&gt;&lt;TD&gt;1166000&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1166000&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;P47091-1&lt;/TD&gt;&lt;TD&gt;25745,14711&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;P47092-1&lt;/TD&gt;&lt;TD&gt;22044,28221&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;24500&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;24500&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;P47197-1&lt;/TD&gt;&lt;TD&gt;1072264,759&lt;/TD&gt;&lt;TD&gt;3&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;P47262-1&lt;/TD&gt;&lt;TD&gt;1101482,694&lt;/TD&gt;&lt;TD&gt;4&lt;/TD&gt;&lt;TD&gt;3500000&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;3500000&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;P47275-1&lt;/TD&gt;&lt;TD&gt;177687,0544&lt;/TD&gt;&lt;TD&gt;5&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;&amp;n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      <pubDate>Wed, 04 Nov 2020 19:12:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696644#M37447</guid>
      <dc:creator>yesa</dc:creator>
      <dc:date>2020-11-04T19:12:09Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696645#M37448</link>
      <description>&lt;P&gt;hi again,&lt;/P&gt;&lt;P&gt;I tried to share the part of the data and hope that u can help me now.&lt;/P&gt;</description>
      <pubDate>Wed, 04 Nov 2020 19:14:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696645#M37448</guid>
      <dc:creator>yesa</dc:creator>
      <dc:date>2020-11-04T19:14:11Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696664#M37449</link>
      <description>&lt;P&gt;I would really like to see the data BEFORE the dummy variables were created, as I'm not going to use them.&lt;/P&gt;</description>
      <pubDate>Wed, 04 Nov 2020 19:57:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696664#M37449</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-04T19:57:28Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696799#M37451</link>
      <description>&lt;P&gt;Hello again,&lt;/P&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;InvestKArFP&lt;/TD&gt;&lt;TD&gt;atg_rder&lt;/TD&gt;&lt;TD&gt;InvBesKWhAr&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;are my key variables. The atg_rder variable has values 1 to 11 indicating different measures. I created dummy variables from atg_rder variable taking value 1 if atg_rder is 1 and 0 otherwise, also taking value 1 if atg_rder is 2 and 0 otherwise and so on. Then by multiplying the dummy variables with InvBesKWhAr I created interaction variables.&lt;/P&gt;&lt;P&gt;Then I ran the regression as follows:&lt;/P&gt;&lt;P&gt;proc reg data=egen.finaldataenergisteg1;&lt;BR /&gt;model InvestKArFP= AInBes1 AInBes2 AInBes3 AInBes4 AInBes5 AInBes6 AInBes8 AInBes9 AInBes10 AInBes11 ;&lt;BR /&gt;run;&lt;BR /&gt;quit;&lt;/P&gt;&lt;P&gt;Finally I wanted to test if the coefficents of the interaction variables were significantly different from each other?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 05 Nov 2020 08:35:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696799#M37451</guid>
      <dc:creator>yesa</dc:creator>
      <dc:date>2020-11-05T08:35:03Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696830#M37453</link>
      <description>&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glm data=whatever;
    class atg_rder;
    model investKArFP = atg_rder*invbeskwhar/solution;
run; quit;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;The effect for the interaction is the answer you are asking for.&lt;/P&gt;</description>
      <pubDate>Thu, 05 Nov 2020 11:48:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696830#M37453</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-05T11:48:23Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696835#M37454</link>
      <description>&lt;P&gt;Thanks a lot! Now i could get the&amp;nbsp; estimated coefficients for the interaction variables. But what does the&amp;nbsp; figure on analysis of Covariance of&amp;nbsp;InvestKArFP variable mean?&amp;nbsp;Can I say anything about if the estimated coefficients are significantly different from each other or not? Sorry that I don't know how to send the results so that you could exp&lt;/P&gt;&lt;P&gt;with best regards.&lt;/P&gt;&lt;DIV class="mceNonEditable lia-copypaste-placeholder"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV class="mceNonEditable lia-copypaste-placeholder"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;DIV class="mceNonEditable lia-copypaste-placeholder"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;DIV class="mceNonEditable lia-copypaste-placeholder"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 05 Nov 2020 12:14:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696835#M37454</guid>
      <dc:creator>yesa</dc:creator>
      <dc:date>2020-11-05T12:14:58Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696838#M37455</link>
      <description>&lt;P&gt;You can do a screen capture of the results and then include them in your reply using the "camera" icon (also known as the "insert photos" icon)&lt;/P&gt;</description>
      <pubDate>Thu, 05 Nov 2020 12:34:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696838#M37455</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-05T12:34:10Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696844#M37456</link>
      <description>&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="here are the results" style="width: 999px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/51407i31AE25AD7AFBDBE2/image-size/large?v=v2&amp;amp;px=999" role="button" title="results Screenshot.jpg" alt="here are the results" /&gt;&lt;span class="lia-inline-image-caption" onclick="event.preventDefault();"&gt;here are the results&lt;/span&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 05 Nov 2020 12:44:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696844#M37456</guid>
      <dc:creator>yesa</dc:creator>
      <dc:date>2020-11-05T12:44:24Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696846#M37457</link>
      <description>&lt;P&gt;The analysis of Covariance plot shows you the slopes of each of the values of atg_rder&lt;/P&gt;</description>
      <pubDate>Thu, 05 Nov 2020 12:50:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696846#M37457</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-05T12:50:35Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696850#M37458</link>
      <description>&lt;P&gt;Ok, thanks. But my original question is still not solved. I need to test if the estimated coefficients are significantly different from each other or not? I have heard about Wald test for this. But don't know how to write the code in SAS.&lt;/P&gt;&lt;P&gt;with best regards.&lt;/P&gt;</description>
      <pubDate>Thu, 05 Nov 2020 12:56:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696850#M37458</guid>
      <dc:creator>yesa</dc:creator>
      <dc:date>2020-11-05T12:56:20Z</dc:date>
    </item>
    <item>
      <title>Re: equivalence test for regression coefficients</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696857#M37459</link>
      <description>&lt;P&gt;The F-test is the test you are asking for. Since the Pr&amp;gt;F is &amp;lt;0.0001, the slopes are significantly different. I don't think the Wald test applies here.&lt;/P&gt;</description>
      <pubDate>Thu, 05 Nov 2020 13:04:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/equivalence-test-for-regression-coefficients/m-p/696857#M37459</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-05T13:04:27Z</dc:date>
    </item>
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