### Exercise 1

Open the 1978 Automobile Data and run a regression of price on milage using the `regress` command.

```. sysuse auto
(1978 Automobile Data)

. regress price mpg

Source |       SS           df       MS      Number of obs   =        74
-------------+----------------------------------   F(1, 72)        =     20.26
Model |   139449474         1   139449474   Prob > F        =    0.0000
Residual |   495615923        72  6883554.48   R-squared       =    0.2196
-------------+----------------------------------   Adj R-squared   =    0.2087
Total |   635065396        73  8699525.97   Root MSE        =    2623.7

------------------------------------------------------------------------------
price |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
mpg |  -238.8943   53.07669    -4.50   0.000    -344.7008   -133.0879
_cons |   11253.06   1170.813     9.61   0.000     8919.088    13587.03
------------------------------------------------------------------------------
```