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
> 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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