From: David Winsemius <dwinsemius_at_comcast.net>

Date: Tue, 18 Nov 2008 23:55:30 -0500

Date: Tue, 18 Nov 2008 23:55:30 -0500

http://www.ugr.es/~falvarez/relaMetodos2.pdf ..... see Question 9 http://www.uclm.es/profesorado/jesuslopezfidalgo/MODELOS.pdf ...... see Question 47

-- David Winsemius, MD Heritage Labs On Nov 18, 2008, at 11:44 PM, Ricardo Ríos wrote:Received on Wed 19 Nov 2008 - 04:57:20 GMT

> Hi wizards,

>> I have the following model:>> x<-c(20.79, 22.40, 23.15, 23.89, 24.02, 25.14, 28.49, 29.04, 29.88,> 30.06)> y <- c(194.5, 197.9, 199.4, 200.9, 201.4, 203.6, 209.5, 210.7,> 211.9, 212.2)> model1 <- lm( y ~ x )> anova(model1)>> Df Sum Sq Mean Sq F value Pr(>F)> x 1 368.87 368.87 4384.6 3.011e-12 ***> Residuals 8 0.67 0.08>>> But, I have realized the following transformation:>> lnx <- log(x)> lny <- log(y)> model2 <- lm( lny ~ lnx )> anova(model2)>> Response: lny> Df Sum Sq Mean Sq F value Pr(>F)> lnx 1 0.0088620 0.0088620 27234 2.034e-15 ***> Residuals 8 0.0000026 0.0000003>>>> The second model has a Sum of square Residuals very small>> I have analyzed the following graph:>> plot( model1$fitted.values, model1$residuals)> plot( model2$fitted.values, model2$residuals)>>> I have observed that maybe the first model has a specification error.> is that correct? Which model is the best?>> I was trying to get information about it, but I did not found> anything.>>> Thanks in advance>> --> http://ricardorios.wordpress.com/>> ______________________________________________> R-help_at_r-project.org mailing list> https://stat.ethz.ch/mailman/listinfo/r-help> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.

______________________________________________ R-help_at_r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.

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