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/
PREDICT NEW VALUES FROM REGRESSION MODEL, EST. ST.ERROR, AND CI
2 messages · Ricardo Gomez, Greg Snow
?predict.lm -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.snow at imail.org 801.408.8111
-----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/
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