Section 12.3 of the FAQ explains how to use code delimiters when posting to the forum. Currently, it says nothing about enclosing output in code delimiters. I think it should explicitly advise members to enclose output in code delimiters. YMMV, but I certainly prefer this...
...over this:
. clear
. sysuse auto
(1978 automobile data)
. regress price weight
Source | SS df MS Number of obs = 74
-------------+---------------------------------- F(1, 72) = 29.42
Model | 184233937 1 184233937 Prob > F = 0.0000
Residual | 450831459 72 6261548.04 R-squared = 0.2901
-------------+---------------------------------- Adj R-squared = 0.2802
Total | 635065396 73 8699525.97 Root MSE = 2502.3
------------------------------------------------------------------------------
price | Coefficient Std. err. t P>|t| [95% conf. interval]
-------------+----------------------------------------------------------------
weight | 2.044063 .3768341 5.42 0.000 1.292857 2.795268
_cons | -6.707353 1174.43 -0.01 0.995 -2347.89 2334.475
------------------------------------------------------------------------------
.
Code:
. clear . sysuse auto (1978 automobile data) . regress price weight Source | SS df MS Number of obs = 74 -------------+---------------------------------- F(1, 72) = 29.42 Model | 184233937 1 184233937 Prob > F = 0.0000 Residual | 450831459 72 6261548.04 R-squared = 0.2901 -------------+---------------------------------- Adj R-squared = 0.2802 Total | 635065396 73 8699525.97 Root MSE = 2502.3 ------------------------------------------------------------------------------ price | Coefficient Std. err. t P>|t| [95% conf. interval] -------------+---------------------------------------------------------------- weight | 2.044063 .3768341 5.42 0.000 1.292857 2.795268 _cons | -6.707353 1174.43 -0.01 0.995 -2347.89 2334.475 ------------------------------------------------------------------------------
...over this:
. clear
. sysuse auto
(1978 automobile data)
. regress price weight
Source | SS df MS Number of obs = 74
-------------+---------------------------------- F(1, 72) = 29.42
Model | 184233937 1 184233937 Prob > F = 0.0000
Residual | 450831459 72 6261548.04 R-squared = 0.2901
-------------+---------------------------------- Adj R-squared = 0.2802
Total | 635065396 73 8699525.97 Root MSE = 2502.3
------------------------------------------------------------------------------
price | Coefficient Std. err. t P>|t| [95% conf. interval]
-------------+----------------------------------------------------------------
weight | 2.044063 .3768341 5.42 0.000 1.292857 2.795268
_cons | -6.707353 1174.43 -0.01 0.995 -2347.89 2334.475
------------------------------------------------------------------------------
.
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