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st: RE: Plot residuals against predictors.


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Plot residuals against predictors.
Date   Tue, 30 Nov 2004 10:09:22 -0000

The help for -regress- points you towards 
a help entry -regdiag- which in turn
tells you about -rvpplot- and -rvfplot-. Also 
the reference manual [R] is informative about 
these commands. 

As for the equation, the -regress- output 
includes a listing of estimated coefficients 
including the constant (intercept). The user
has the burden of translating that into whatever
format they prefer e.g. 

gpa = .590 + .169 hsm + ... 

Nick 
n.j.cox@durham.ac.uk 

flanagan@uchicago.edu

> I am completing an analysis of GPA against several high school grade 
> variables. I have regressed the GPA on the three high school 
> grade variables, 
> and calculated and stored the residuals from this regression. 
> 
> My output looks like this so far:
> 
> 
> regress gpa hsm hss hse
> 
>       Source |       SS       df       MS              Number 
> of obs =     224
> -------------+------------------------------           F(  3, 
>   220) =   18.86
>        Model |  27.7123302     3  9.23744341           Prob > 
> F      =  0.0000
>     Residual |  107.750459   220  .489774812           
> R-squared     =  0.2046
> -------------+------------------------------           Adj 
> R-squared =  0.1937
>        Total |  135.462789   223  .607456452           Root 
> MSE      =  .69984
> 
> --------------------------------------------------------------
> ----------------
>          gpa |      Coef.   Std. Err.      t    P>|t|     
> [95% Conf. Interval]
> -------------+------------------------------------------------
> ----------------
>          hsm |   .1685666   .0354921     4.75   0.000     
> .0986185    .2385147
>          hss |   .0343156   .0375589     0.91   0.362    
> -.0397057    .1083368
>          hse |   .0451018   .0386959     1.17   0.245    
> -.0311602    .1213638
>        _cons |   .5898766   .2942432     2.00   0.046     
> .0099804    1.169773
> --------------------------------------------------------------
> ----------------
> 
> . predict yhat
> (option xb assumed; fitted values)
> 
> . predict resid, residuals
> 
> 
> Now, I am new to stata, just started learning about it this 
> semester. And I am 
> trying to plut the residuals versus each of the three high 
> school grade 
> variables and versus the predicted value of GPA. How do I do 
> this? Also, does 
> stata have a command to obtain the fitted regression equation>? 

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