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    <title>topic Re: Weights and frequencies in logistic regression in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19432#M17717</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;A href="https://community.jmp.com/people/michael@jmp"&gt;michael@jmp&lt;/A&gt;,&lt;/P&gt;&lt;P&gt;Thank you for the extra clarification.&lt;/P&gt;&lt;P&gt;if i understand it correctly, in the SAS documentation of the logistic regression there is a difference between Weights:&lt;/P&gt;&lt;P&gt;&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect027.htm" title="https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect027.htm"&gt;SAS/STAT(R) 9.3 User's Guide&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;and Frequencies:&lt;/P&gt;&lt;P&gt;&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect013.htm" title="https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect013.htm"&gt;SAS/STAT(R) 9.3 User's Guide&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;is there a way in JMP of reproducing a regression estimate with the weights statement as in SAS?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;ron.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 29 Jul 2016 14:24:40 GMT</pubDate>
    <dc:creator>ron_horne</dc:creator>
    <dc:date>2016-07-29T14:24:40Z</dc:date>
    <item>
      <title>Weights and frequencies in logistic regression</title>
      <link>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19427#M17712</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I came across this situation where the logistic regression outcome is identical when using weights or frequencies. I find it surprising since this would not be the case for linear regression at all. Weights and frequencies have different meaning as in this link: &lt;A href="http://blogs.sas.com/content/iml/2013/09/13/frequencies-vs-weights-in-regression.html"&gt;http://blogs.sas.com/content/iml/2013/09/13/frequencies-vs-weights-in-regression.html&lt;/A&gt; &lt;/P&gt;&lt;P&gt;Does anyone know the reason for the identical outcome? Shouldn’t some parts of the estimation be different by definition?&amp;nbsp; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: #0000dd;"&gt;Open&lt;/SPAN&gt;&lt;STRONG style="color: black; font-family: 'Courier New';"&gt;(&lt;/STRONG&gt; &lt;SPAN style="font-family: 'Courier New'; color: purple;"&gt;"$SAMPLE_DATA/Big Class.jmp"&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: #0000dd;"&gt;New Window&lt;/SPAN&gt;&lt;STRONG style="color: black; font-family: 'Courier New';"&gt;(&lt;/STRONG&gt;&lt;SPAN style="font-family: 'Courier New'; color: purple;"&gt;"weighs and Freq"&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;SPAN style="font-family: 'Courier New'; color: #0000dd;"&gt;H List Box&lt;/SPAN&gt;&lt;STRONG style="color: black; font-family: 'Courier New';"&gt;(&lt;/STRONG&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Fit Model&lt;STRONG&gt;(&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Freq&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;:&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;age &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Y&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;:&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;sex &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Effects&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;:&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;weight &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Personality&lt;STRONG&gt;(&lt;/STRONG&gt; Nominal Logistic &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Run&lt;STRONG&gt;(&lt;/STRONG&gt; Likelihood Ratio Tests&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;STRONG style="color: teal; font-family: 'Courier New';"&gt;1&lt;/STRONG&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; Wald Tests&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;STRONG style="color: teal; font-family: 'Courier New';"&gt;1&lt;/STRONG&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; Odds Ratios&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;STRONG style="color: teal; font-family: 'Courier New';"&gt;1&lt;/STRONG&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; Confidence Intervals&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;STRONG style="color: teal; font-family: 'Courier New';"&gt;1&lt;/STRONG&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; &lt;STRONG&gt;)&lt;/STRONG&gt; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Fit Model&lt;STRONG&gt;(&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Weight&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;:&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;age &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Y&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;:&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;sex &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Effects&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;:&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;weight &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Personality&lt;STRONG&gt;(&lt;/STRONG&gt; Nominal Logistic &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Run&lt;STRONG&gt;(&lt;/STRONG&gt; Likelihood Ratio Tests&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;STRONG style="color: teal; font-family: 'Courier New';"&gt;1&lt;/STRONG&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; Wald Tests&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;STRONG style="color: teal; font-family: 'Courier New';"&gt;1&lt;/STRONG&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; Odds Ratios&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;STRONG style="color: teal; font-family: 'Courier New';"&gt;1&lt;/STRONG&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;,&lt;/SPAN&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; Confidence Intervals&lt;STRONG&gt;(&lt;/STRONG&gt; &lt;/SPAN&gt;&lt;STRONG style="color: teal; font-family: 'Courier New';"&gt;1&lt;/STRONG&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt; &lt;STRONG&gt;)&lt;/STRONG&gt; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;SPAN style="font-family: 'Courier New'; color: black;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;STRONG&gt;)&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="margin-bottom: .0001pt;"&gt;&lt;STRONG style="color: black; font-family: 'Courier New';"&gt;)&lt;/STRONG&gt;&lt;SPAN style="font-family: 'Courier New'; color: navy;"&gt;;&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 06 Jul 2016 18:05:41 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19427#M17712</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2016-07-06T18:05:41Z</dc:date>
    </item>
    <item>
      <title>Re: Weights and frequencies in logistic regression</title>
      <link>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19428#M17713</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;this is what the documentation says about it:&lt;/P&gt;&lt;P&gt;&lt;A href="http://www.jmp.com/support/help/Launch_the_Fit_Model_Platform.shtml#334705" title="http://www.jmp.com/support/help/Launch_the_Fit_Model_Platform.shtml#334705"&gt;Launch the Fit Model Platform&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://www.jmp.com/support/help/Frequencies.shtml#293589" title="http://www.jmp.com/support/help/Frequencies.shtml#293589"&gt;Frequencies&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;but i still wouldn't expect to get the exact same results replacing between weights and frequencies.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;would be thankful for any help on this.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 27 Jul 2016 15:04:17 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19428#M17713</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2016-07-27T15:04:17Z</dc:date>
    </item>
    <item>
      <title>Re: Weights and frequencies in logistic regression</title>
      <link>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19429#M17714</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;In platforms that are not using least squares or a normal distribution model, weights are treated in an identical fashion to frequencies. (We could probably make that more clear in the first documentation link you listed.)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In the case of logistic regression, the weight variable is treated the same way as if it were specified as a frequency. If a frequency column and a weight column are both specified, the analysis proceeds as if there are frequencies replaced by the frequency column multiplied by the weight column.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Hope that helps,&lt;/P&gt;&lt;P&gt;Michael&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 28 Jul 2016 17:48:26 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19429#M17714</guid>
      <dc:creator>michael_jmp</dc:creator>
      <dc:date>2016-07-28T17:48:26Z</dc:date>
    </item>
    <item>
      <title>Re: Weights and frequencies in logistic regression</title>
      <link>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19430#M17715</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;thank you &lt;A href="https://community.jmp.com/people/michael@jmp"&gt;michael@jmp&lt;/A&gt;​,&lt;/P&gt;&lt;P&gt;with your permission a few more clarifications please:&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;"...weights are treated in an identical fashion to frequencies." - is this documented anywhere? or indicated anywhere in the output?&lt;/LI&gt;&lt;LI&gt;"...&amp;nbsp; If a frequency column and a weight column are both specified, the analysis proceeds as if there are frequencies replaced by the frequency column multiplied by the weight column.&amp;nbsp; " - i am not sure what this means can you please give a reference to the equivalent in SAS documentation?&lt;/LI&gt;&lt;LI&gt;so all in all there is no way to do a weighted sample logistic regression in JMP?&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;best,&lt;/P&gt;&lt;P&gt;ron&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 28 Jul 2016 23:27:28 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19430#M17715</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2016-07-28T23:27:28Z</dc:date>
    </item>
    <item>
      <title>Re: Weights and frequencies in logistic regression</title>
      <link>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19431#M17716</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi &lt;A href="https://community.jmp.com/people/ron_horne"&gt;ron_horne&lt;/A&gt;​,&lt;/P&gt;&lt;P&gt;I hope these responses will help clarify your questions:&lt;/P&gt;&lt;P&gt;1. As I said in my original response, we could do a better job of documenting this. It's really only implied by the description of Weights in the Launch Fit Model section, but I'll make a note to make the description more explicit in future versions.&lt;/P&gt;&lt;P&gt;2. I'm not sure of an equivalent in SAS documentation, but the idea is that if you specify both a frequency and a weight column, it should be equivalent to creating a new column that multiplies the frequency and weight columns together and then uses that new column as a frequency column in the analysis.&lt;/P&gt;&lt;P&gt;3. I'm not sure what type of weighted sample logistic regression you're trying to do. Can you provide an example of what you would expect to see for such an analysis?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Best,&lt;BR /&gt;Michael &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 29 Jul 2016 13:05:01 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19431#M17716</guid>
      <dc:creator>michael_jmp</dc:creator>
      <dc:date>2016-07-29T13:05:01Z</dc:date>
    </item>
    <item>
      <title>Re: Weights and frequencies in logistic regression</title>
      <link>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19432#M17717</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;A href="https://community.jmp.com/people/michael@jmp"&gt;michael@jmp&lt;/A&gt;,&lt;/P&gt;&lt;P&gt;Thank you for the extra clarification.&lt;/P&gt;&lt;P&gt;if i understand it correctly, in the SAS documentation of the logistic regression there is a difference between Weights:&lt;/P&gt;&lt;P&gt;&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect027.htm" title="https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect027.htm"&gt;SAS/STAT(R) 9.3 User's Guide&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;and Frequencies:&lt;/P&gt;&lt;P&gt;&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect013.htm" title="https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_logistic_sect013.htm"&gt;SAS/STAT(R) 9.3 User's Guide&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;is there a way in JMP of reproducing a regression estimate with the weights statement as in SAS?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;ron.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 29 Jul 2016 14:24:40 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19432#M17717</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2016-07-29T14:24:40Z</dc:date>
    </item>
    <item>
      <title>Re: Weights and frequencies in logistic regression</title>
      <link>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19433#M17718</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Ron,&lt;/P&gt;&lt;P&gt;I tried running the Big Class example in PROC LOGISTIC using :age as a weight variable, and it seemed like it matched the output from JMP using :age as a weight or a freq variable.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc logistic data=big_class;&lt;/P&gt;&lt;P&gt;&amp;nbsp; weight age;&lt;/P&gt;&lt;P&gt;&amp;nbsp; model sex = weight;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Michael&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 08 Aug 2016 18:32:32 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19433#M17718</guid>
      <dc:creator>michael_jmp</dc:creator>
      <dc:date>2016-08-08T18:32:32Z</dc:date>
    </item>
    <item>
      <title>Re: Weights and frequencies in logistic regression</title>
      <link>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19434#M17719</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;thanks &lt;A href="https://community.jmp.com/people/michael@jmp"&gt;michael@jmp&lt;/A&gt;​,&lt;/P&gt;&lt;P&gt;this is not what one would expect from the different description in the SAS documentation.&lt;/P&gt;&lt;P&gt;would you happen to know the reason why logistic regression behaves differently than the linear on this?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;ron&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 08 Aug 2016 19:03:04 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Weights-and-frequencies-in-logistic-regression/m-p/19434#M17719</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2016-08-08T19:03:04Z</dc:date>
    </item>
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