<p>My post is here: <a href="https://stats.stackexchange.com/questions/483798/how-can-i-test-whether-a-single-categorical-variable-significantly-changes-a-lin">How can I test whether a single categorical variable significantly changes a linear regression model (0.05 level), without using the F test?</a></p>
<p>I have written a very clear, short, focused question that doesn't have any ambiguity, yet the post remains closed.  I spent two days making minor changes, that I usually didn't agree caused ambiguity, to accommodate the feedback.  All of the items have been addressed, there is no more feedback, yet the post remains closed.</p>
<p>There are two votes to re-open shown.  I'm not sure if I need 3 or 5.  I know I only need one vote from whuber, who closed it with one vote.</p>
<p>It seems the post is closed because some people (or someone) doesn't <em>like</em> my question, rather than my question being ambiguous.</p>
<p>The post was closed for ambiguity with a single vote from whuber, which I was not aware of until I recently reviewed the post's history. <strong>In the comments about the post being closed, whuber made a clear statement that &quot;all you have needed to do to earn my vote is to state what hypothesis you wish to test.&quot;</strong> So I added the hypotheses.  Then there was the complaint that &quot;statistically significant&quot; was in the hypotheses, which whuber agreed with.  I can't even believe that.  How does make my post hard to understand. The post remained closed, so it was closed for that???  So I removed &quot;statistically significant,&quot; yet the post remains closed.
<strong>I pointed out to whuber what he said, and he has not made any response since.  He clearly hasn't followed up with his vote, as he can reopen it with one vote (as a moderator, just like he closed it with one vote).</strong></p>
<p>Here is the hypotheses: (it originally read &quot;no statistically significant&quot; difference)</p>
<p>H<sub>0</sub>: There is no difference between the mean of Var1 (groups combined) and the means of Var1 in any of the three groups defined by the values of X.</p>
<p>H<sub>A</sub>: There is a difference between the mean of Var1 (groups combined) and at least one of the means of Var1 in the three groups defined by the values of X.</p>
<p>There's a reason for the wording, and if it's a problem (how?) I'll make it a standard ANOVA-type hypothesis, which says that the means of the groups are equal.  I pointed that out in the comments, and this has never been replied to.</p>
<p>I need to know what is ambiguous, so I can get the post opened. The post is a short read. Or I just need vote(s) to reopen it.</p>
