<p>I believe you are referring to <a href="https://stats.stackexchange.com/q/67956/930">Significance: p-value or t-value?</a> and I would have vote to leave it opened (unfortunately, my buggy phone browser led me to just skip it). The <a href="https://stats.stackexchange.com/q/31/930">suggested near duplicate</a> asks for more general definitions of t- and p-values in the context of null hypothesis statistical testing, which the present post doesn't: In my view, it asks how to gauge 'statistical significance' from a (nice) table where only regression coefficients and t-values are given. The latter accounts for sampling variation and provide all information since sample size are given (<a href="https://stats.stackexchange.com/questions/67956/significance-p-value-or-t-value#comment131240_67956">as noted</a> by Glen).</p>

<p>I must admit that oftentimes it's hard to find a good duplicate (either because there are many, or because the two questions are just slightly different). In this particular case, I think the OP is concerned with the interpretation of results from two-stage regression summarized in a tabular way. This might be of interest for future readers.</p>

<p>No moderator declined your flag. Don't forget that users community can express their views freely. When moderators do reject an edit or flag, they generally explain why if it's not already available in our FAQ. But, please, please keep assuring the quality of this site by flagging and editing as you see fit.</p>
