This page was generated entirely from one Stata do-file. The narrative and static output come from webdoc2; the two interactive widgets below come from statashiny and are embedded with wdiframe.
Basic descriptives for the classic auto dataset:
. sysuse auto, clear (1978 automobile data) . summarize price mpg weight length Variable | Obs Mean Std. dev. Min Max -------------+--------------------------------------------------------- price | 74 6165.257 2949.496 3291 15906 mpg | 74 21.2973 5.785503 12 41 weight | 74 3019.459 777.1936 1760 4840 length | 74 187.9324 22.26634 142 233
Click to reveal the model. Price regressed on fuel economy, weight, and origin:
. sysuse auto, clear (1978 automobile data) . regress price mpg weight foreign Source | SS df MS Number of obs = 74 -------------+---------------------------------- F(3, 70) = 23.29 Model | 317252881 3 105750960 Prob > F = 0.0000 Residual | 317812515 70 4540178.78 R-squared = 0.4996 -------------+---------------------------------- Adj R-squared = 0.4781 Total | 635065396 73 8699525.97 Root MSE = 2130.8 ------------------------------------------------------------------------------ price | Coefficient Std. err. t P>|t| [95% conf. interval] -------------+---------------------------------------------------------------- mpg | 21.8536 74.22114 0.29 0.769 -126.1758 169.883 weight | 3.464706 .630749 5.49 0.000 2.206717 4.722695 foreign | 3673.06 683.9783 5.37 0.000 2308.909 5037.212 _cons | -5853.696 3376.987 -1.73 0.087 -12588.88 881.4934 ------------------------------------------------------------------------------
The table below is fully searchable and sortable -- it is a live statashiny widget, not a static image. Type in the search box or click a column header.
Move the sliders to change the simulated sample size and bin count. The Chart.js histogram redraws instantly in your browser.