# Stata Kernel DemoΒΆ

Publishing in a `jupyter-book` from an `ipynb` notebook with `stata_kernel`

```sysuse auto
```
```(1978 automobile data)
```
```sum
```
```    Variable |        Obs        Mean    Std. dev.       Min        Max
```
```-------------+---------------------------------------------------------
```
```        make |          0
```
```       price |         74    6165.257    2949.496       3291      15906
```
```         mpg |         74     21.2973    5.785503         12         41
```
```       rep78 |         69    3.405797    .9899323          1          5
```
```    headroom |         74    2.993243    .8459948        1.5          5
```
```-------------+---------------------------------------------------------
```
```       trunk |         74    13.75676    4.277404          5         23
```
```      weight |         74    3019.459    777.1936       1760       4840
```
```      length |         74    187.9324    22.26634        142        233
```
```        turn |         74    39.64865    4.399354         31         51
```
```displacement |         74    197.2973    91.83722         79        425
```
```-------------+---------------------------------------------------------
```
```  gear_ratio |         74    3.014865    .4562871       2.19       3.89
```
```     foreign |         74    .2972973    .4601885          0          1
```
```bstrap: reg price mpg trunk
```
```(running regress on estimation sample)
```
```Bootstrap replications (50)
```
```----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
```
```..................................................    50
```
```Linear regression                                    Number of obs =        74
```
```                                                     Replications  =        50
```
```                                                     Wald chi2(2)  =     20.14
```
```                                                     Prob > chi2   =    0.0000
```
```                                                     R-squared     =    0.2222
```
```                                                     Adj R-squared =    0.2003
```
```                                                     Root MSE      = 2637.5910
```
```------------------------------------------------------------------------------
```
```             |   Observed   Bootstrap                         Normal-based
```
```       price | coefficient  std. err.      z    P>|z|     [95% conf. interval]
```
```-------------+----------------------------------------------------------------
```
```         mpg |  -220.1649    77.9294    -2.83   0.005    -372.9037   -67.42607
```
```       trunk |   43.55851   80.76242     0.54   0.590    -114.7329    201.8499
```
```       _cons |   10254.95   2692.185     3.81   0.000     4978.363    15531.54
```
```------------------------------------------------------------------------------
```