R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> y <- c(104.75,105.01,105.15,105.2,105.77,105.78,106.26,106.13,106.12,106.57,106.44,106.54,107.1,108.1,108.4,108.84,109.62,110.42,110.67,111.66,112.28,112.87,112.18,112.36,112.16,111.49,111.25,111.36,111.74,111.1,111.33,111.25,111.04,110.97,111.31,111.02,111.07,111.36,111.54,112.05,112.52,112.94,113.33,113.78,113.77,113.82,113.89,114.25,114.41,114.55,115,115.66,116.33,116.91,117.2,117.59,117.95,118.09,117.99,118.31,118.49)
> x <- c(1.0563,1.0479,1.0386,0.9978,1.0158,1.0389,1.065,1.0679,1.0859,1.0975,1.087,1.1146,1.143,1.2291,1.1829,1.1673,1.186,1.2534,1.2822,1.385,1.4259,1.4199,1.319,1.2823,1.2147,1.1101,0.9891,0.9741,0.9793,0.97,0.9942,0.995,1.0407,1.0296,1.0679,1.0431,1.0461,1.0668,1.0612,1.0958,1.1003,1.1492,1.1995,1.2173,1.2356,1.2084,1.2152,1.2257,1.2294,1.2467,1.2981,1.3397,1.3715,1.4365,1.4564,1.4328,1.4376,1.4515,1.4307,1.4574,1.4789)
> par1 = '0'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as.numeric(par1)
> library(lattice)
> z <- as.data.frame(cbind(x,y))
> m <- lm(y~x)
> summary(m)

Call:
lm(formula = y ~ x)

Residuals:
   Min     1Q Median     3Q    Max 
-4.463 -2.963  1.443  2.040  3.910 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   90.240      2.652  34.022  < 2e-16 ***
x             17.962      2.220   8.092 3.83e-11 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2.658 on 59 degrees of freedom
Multiple R-squared: 0.526,	Adjusted R-squared: 0.518 
F-statistic: 65.48 on 1 and 59 DF,  p-value: 3.829e-11 

> postscript(file="/var/www/rcomp/tmp/1ocxc1321195754.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(z,main='Scatterplot, lowess, and regression line')
> lines(lowess(z),col='red')
> abline(m)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2fhsv1321195754.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m2 <- lm(m$fitted.values ~ x)
> summary(m2)

Call:
lm(formula = m$fitted.values ~ x)

Residuals:
       Min         1Q     Median         3Q        Max 
-2.377e-14 -2.997e-15  1.468e-16  3.536e-15  6.760e-15 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 9.024e+01  5.061e-15 1.783e+16   <2e-16 ***
x           1.796e+01  4.235e-15 4.241e+15   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5.071e-15 on 59 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.799e+31 on 1 and 59 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3k9xf1321195754.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

Call:
lm(formula = m$residuals ~ x)

Residuals:
   Min     1Q Median     3Q    Max 
-4.463 -2.963  1.443  2.040  3.910 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  6.149e-16  2.652e+00       0        1
x           -4.968e-16  2.220e+00       0        1

Residual standard error: 2.658 on 59 degrees of freedom
Multiple R-squared: 4.907e-34,	Adjusted R-squared: -0.01695 
F-statistic: 2.895e-32 on 1 and 59 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4sr1k1321195754.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

Call:
lm(formula = m$fitted.values ~ m$residuals)

Residuals:
   Min     1Q Median     3Q    Max 
-3.862 -2.312 -0.318  1.748  5.279 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 1.115e+02  3.585e-01   311.1   <2e-16 ***
m$residuals 2.732e-16  1.371e-01     0.0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2.8 on 59 degrees of freedom
Multiple R-squared: 1.223e-29,	Adjusted R-squared: -0.01695 
F-statistic: 7.215e-28 on 1 and 59 DF,  p-value: 1 

> z4 <- as.data.frame(cbind(m$residuals,m$fitted.values))
> names(z4) <- list('Residuals','Fitted')
> plot(z4,main='Scatterplot, lowess, and regression line')
> lines(lowess(z4),col='red')
> abline(m4)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/526tw1321195754.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myr <- as.ts(m$residuals)
> z5 <- as.data.frame(cbind(lag(myr,1),myr))
> names(z5) <- list('Lagged Residuals','Residuals')
> plot(z5,main='Lag plot')
> m5 <- lm(z5)
> summary(m5)

Call:
lm(formula = z5)

Residuals:
     Min       1Q   Median       3Q      Max 
-1.06651 -0.36284 -0.06788  0.25021  1.88685 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  0.10131    0.06885   1.472    0.147    
Residuals    0.95822    0.02622  36.552   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.5333 on 58 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.9584,	Adjusted R-squared: 0.9577 
F-statistic:  1336 on 1 and 58 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6orj41321195754.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/76of01321195754.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/88aiw1321195754.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9mf911321195754.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(x)
> qqline(x)
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Simple Linear Regression',5,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Statistics',1,TRUE)
> a<-table.element(a,'Estimate',1,TRUE)
> a<-table.element(a,'S.D.',1,TRUE)
> a<-table.element(a,'T-STAT (H0: coeff=0)',1,TRUE)
> a<-table.element(a,'P-value (two-sided)',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'constant term',header=TRUE)
> a<-table.element(a,m$coefficients[[1]])
> sd <- sqrt(vcov(m)[1,1])
> a<-table.element(a,sd)
> tstat <- m$coefficients[[1]]/sd
> a<-table.element(a,tstat)
> pval <- 2*(1-pt(abs(tstat),length(x)-2))
> a<-table.element(a,pval)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'slope',header=TRUE)
> a<-table.element(a,m$coefficients[[2]])
> sd <- sqrt(vcov(m)[2,2])
> a<-table.element(a,sd)
> tstat <- m$coefficients[[2]]/sd
> a<-table.element(a,tstat)
> pval <- 2*(1-pt(abs(tstat),length(x)-2))
> a<-table.element(a,pval)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/10x1wi1321195754.tab") 
> 
> try(system("convert tmp/1ocxc1321195754.ps tmp/1ocxc1321195754.png",intern=TRUE))
character(0)
> try(system("convert tmp/2fhsv1321195754.ps tmp/2fhsv1321195754.png",intern=TRUE))
character(0)
> try(system("convert tmp/3k9xf1321195754.ps tmp/3k9xf1321195754.png",intern=TRUE))
character(0)
> try(system("convert tmp/4sr1k1321195754.ps tmp/4sr1k1321195754.png",intern=TRUE))
character(0)
> try(system("convert tmp/526tw1321195754.ps tmp/526tw1321195754.png",intern=TRUE))
character(0)
> try(system("convert tmp/6orj41321195754.ps tmp/6orj41321195754.png",intern=TRUE))
character(0)
> try(system("convert tmp/76of01321195754.ps tmp/76of01321195754.png",intern=TRUE))
character(0)
> try(system("convert tmp/88aiw1321195754.ps tmp/88aiw1321195754.png",intern=TRUE))
character(0)
> try(system("convert tmp/9mf911321195754.ps tmp/9mf911321195754.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.970   0.290   4.269