R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> y <- 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)
> x <- 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)
> 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 
-0.21199 -0.07723  0.03361  0.07285  0.21879 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) -2.080953   0.403852  -5.153 3.12e-06 ***
x            0.029284   0.003619   8.092 3.83e-11 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.1073 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/wessaorg/rcomp/tmp/19seb1321206657.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/wessaorg/rcomp/tmp/28k9t1321206657.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 
-1.445e-16 -5.710e-17 -5.270e-18  4.287e-17  3.205e-16 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept) -2.081e+00  2.937e-16 -7.085e+15   <2e-16 ***
x            2.928e-02  2.632e-18  1.113e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 7.804e-17 on 59 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.238e+32 on 1 and 59 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3wiyt1321206657.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-0.21199 -0.07723  0.03361  0.07285  0.21879 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  3.221e-18  4.039e-01       0        1
x           -5.371e-21  3.619e-03       0        1

Residual standard error: 0.1073 on 59 degrees of freedom
Multiple R-squared: 4.517e-35,	Adjusted R-squared: -0.01695 
F-statistic: 2.665e-33 on 1 and 59 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4n87k1321206657.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
      Min        1Q    Median        3Q       Max 
-0.198409 -0.078636 -0.001032  0.067201  0.203959 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 1.185e+00  1.447e-02   81.88   <2e-16 ***
m$residuals 1.895e-16  1.371e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.113 on 59 degrees of freedom
Multiple R-squared:     0,	Adjusted R-squared: -0.01695 
F-statistic:     0 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/wessaorg/rcomp/tmp/5dmjk1321206657.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 
-0.117837 -0.014883  0.001697  0.019865  0.079503 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 0.0002641  0.0043920    0.06    0.952    
Residuals   0.9512565  0.0415235   22.91   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.03402 on 58 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.9005,	Adjusted R-squared: 0.8988 
F-statistic: 524.8 on 1 and 58 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6dxxf1321206657.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7lks01321206657.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8x9071321206657.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/92fia1321206657.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/10zs4v1321206657.tab") 
> 
> try(system("convert tmp/19seb1321206657.ps tmp/19seb1321206657.png",intern=TRUE))
character(0)
> try(system("convert tmp/28k9t1321206657.ps tmp/28k9t1321206657.png",intern=TRUE))
character(0)
> try(system("convert tmp/3wiyt1321206657.ps tmp/3wiyt1321206657.png",intern=TRUE))
character(0)
> try(system("convert tmp/4n87k1321206657.ps tmp/4n87k1321206657.png",intern=TRUE))
character(0)
> try(system("convert tmp/5dmjk1321206657.ps tmp/5dmjk1321206657.png",intern=TRUE))
character(0)
> try(system("convert tmp/6dxxf1321206657.ps tmp/6dxxf1321206657.png",intern=TRUE))
character(0)
> try(system("convert tmp/7lks01321206657.ps tmp/7lks01321206657.png",intern=TRUE))
character(0)
> try(system("convert tmp/8x9071321206657.ps tmp/8x9071321206657.png",intern=TRUE))
character(0)
> try(system("convert tmp/92fia1321206657.ps tmp/92fia1321206657.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.692   0.478   3.212