-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
project.org] On Behalf Of Ricardo Gomez
Sent: Wednesday, December 17, 2008 8:47 AM
To: R-help at r-project.org
Subject: [R] PREDICT NEW VALUES FROM REGRESSION MODEL, EST. ST.ERROR,
AND CI
Greetings,
I'd be grateful if a good Samaritan helps me to approach this
problem....
with my data, I've created the following model
lm(formula = OUTCOME ~ VAR1 + VAR2)
summary(model)
Call:
lm(formula = OUTCOME ~ VAR1 + VAR2)
Residuals:
Min 1Q Median 3Q Max
-1.4341 -0.3621 0.1879 0.4994 0.7696
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.89020 0.26826 7.046 5.92e-07 ***
VAR1 0.04725 0.06001 0.787 0.440
VAR2 0.04139 0.05655 0.732 0.472
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
Residual standard error: 0.6618 on 21 degrees of freedom
Multiple R-squared: 0.9474, Adjusted R-squared: 0.9424
F-statistic: 189.2 on 2 and 21 DF, p-value: 3.696e-14
but now, I need to predict OUTCOME (Y) when VAR1=8 and VAR2 =64;
estimate the standard error of the predicted value, and construct a 95%
CI
Your help is much appreciated
RG
*****************************************
Ricardo L Gomez
Center for International Education
University of Massachusetts-Amherst
Telephone: (413)545-0465 | Fax: (413)545-1263
Web Address http://www.umass.edu/cie
E-mail: cie at educ.umass.edu
Get the world's best email - http://nz.mail.yahoo.com/