# st: RE: Plot residuals against predictors.

 From "Nick Cox" <[email protected]> To <[email protected]> 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
[email protected]

[email protected]

> I am completing an analysis of GPA against several high school grade
> variables. I have regressed the GPA on the three high school
> 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
> 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
> 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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```