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Re: st: Re: estimate list


From   "Oleksandr Talavera, EUV" <[email protected]>
To   [email protected]
Subject   Re: st: Re: estimate list
Date   Sun, 18 Jan 2004 20:58:29 +0100

di _se[_cons]
di _se[weight]

t can be derived as

di _b[weight]/_se[weight]

victor michael zammit wrote:

Dear Statalist,
can anyone please tell me how I could retrieve the standard errors for
weight and _cons , ie .000519 and 1.614003  and  the t  for the same. I know
that those for the coefficients are retrieved by
di  _b( weight)    and
di  _b(_cons)

thanks,
vmz

. reg   mpg weight

Source        SS       df       MS  Number of obs =      74
 F(  1,    72) =  134.62
Model    1591.9902     1   1591.9902  Prob > F =  0.0000
Residual   851.469256    72  11.8259619  R-squared =  0.6515
 Adj R-squared =  0.6467
Total   2443.45946    73  33.4720474  Root MSE =  3.4389


mpg       Coef.   Std. Err.       t P>t [95% Conf. Interval]

weight   -.0060087   .0005179    -11.603 0.000 -.0070411 -.0049763
_cons    39.44028   1.614003     24.436 0.000 36.22283 42.65774


. est list

scalars:
e(N)        =  74
e(df_m)     =  1
e(df_r)     =  72
e(F)        =  134.6182422412369
e(r2)       =  .651531252908751
e(rmse)     =  3.438889631047956
e(mss)      =  1591.990203053361
e(rss)      =  851.4692564060983
e(r2_a)     =  .6466914091991504
e(ll)       =  -195.3886885951764
e(ll_0)     =  -234.3943376482347
e(sample)

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