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(1.358,1.361,1.358,1.356,1.355,1.346,1.345,1.346,1.338,1.326,1.321,1.32,1.322,1.323,1.324,1.322,1.321,1.321,1.32,1.31,1.309,1.31,1.308,1.309,1.308,1.313,1.316,1.316,1.317,1.32,1.325,1.327,1.331,1.335,1.335,1.335,1.337,1.338,1.339,1.343,1.349,1.354,1.354,1.355,1.354,1.353,1.352,1.356,1.355,1.355,1.356,1.355,1.355,1.353,1.354,1.352,1.351,1.352,1.352,1.352,1.349,1.349,1.349,1.341,1.341,1.342,1.34,1.339,1.338,1.34,1.344,1.344,1.346,1.35,1.35,1.348,1.348,1.359,1.359,1.361,1.369,1.37,1.372,1.374,1.378,1.378,1.379,1.381,1.382,1.381,1.382,1.381,1.381,1.382,1.361,1.381,1.381,1.384,1.384,1.383,1.382,1.384)
> x <- c(1.671,1.672,1.672,1.672,1.669,1.658,1.656,1.656,1.649,1.636,1.628,1.625,1.627,1.627,1.627,1.627,1.625,1.625,1.623,1.615,1.614,1.615,1.613,1.612,1.618,1.623,1.628,1.628,1.628,1.63,1.639,1.636,1.646,1.655,1.662,1.662,1.663,1.666,1.668,1.674,1.682,1.686,1.686,1.687,1.686,1.685,1.678,1.678,1.679,1.678,1.679,1.681,1.68,1.679,1.681,1.668,1.667,1.667,1.659,1.648,1.642,1.641,1.67,1.634,1.633,1.634,1.629,1.624,1.62,1.621,1.627,1.627,1.628,1.635,1.638,1.64,1.641,1.641,1.64,1.641,1.645,1.645,1.644,1.644,1.635,1.634,1.635,1.633,1.631,1.63,1.631,1.63,1.629,1.63,1.634,1.623,1.621,1.62,1.621,1.621,1.621,1.621)
> 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 
-0.035128 -0.015903 -0.000986  0.007230  0.040504 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  1.04537    0.15686   6.664 1.47e-09 ***
x            0.18403    0.09537   1.930   0.0565 .  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.02119 on 100 degrees of freedom
Multiple R-squared: 0.0359,	Adjusted R-squared: 0.02626 
F-statistic: 3.724 on 1 and 100 DF,  p-value: 0.05648 

> postscript(file="/var/wessaorg/rcomp/tmp/1ldpr1321549213.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/2qs511321549213.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 
-1.212e-16 -4.488e-17 -9.400e-19  3.493e-17  7.445e-16 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.045e+00  7.048e-16 1.483e+15   <2e-16 ***
x           1.840e-01  4.285e-16 4.294e+14   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 9.521e-17 on 100 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.844e+29 on 1 and 100 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3avyw1321549213.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
      Min        1Q    Median        3Q       Max 
-0.035128 -0.015903 -0.000986  0.007230  0.040504 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -2.290e-17  1.569e-01       0        1
x            1.372e-17  9.537e-02       0        1

Residual standard error: 0.02119 on 100 degrees of freedom
Multiple R-squared: 4.798e-34,	Adjusted R-squared: -0.01 
F-statistic: 4.798e-32 on 1 and 100 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4um9l1321549213.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
      Min        1Q    Median        3Q       Max 
-0.006015 -0.003255 -0.001414  0.004060  0.007787 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 1.348e+00  4.048e-04    3330   <2e-16 ***
m$residuals 3.329e-16  1.930e-02       0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.004089 on 100 degrees of freedom
Multiple R-squared: 7.373e-28,	Adjusted R-squared: -0.01 
F-statistic: 7.373e-26 on 1 and 100 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/5c0fc1321549213.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 
-0.0220432 -0.0011644 -0.0000626  0.0014670  0.0216929 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 0.0003481  0.0004139   0.841    0.402    
Residuals   0.9988827  0.0199944  49.958   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.004158 on 99 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.9618,	Adjusted R-squared: 0.9615 
F-statistic:  2496 on 1 and 99 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6supb1321549213.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/72a6v1321549213.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8ita41321549213.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/960vx1321549213.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/10s0z31321549213.tab") 
> 
> try(system("convert tmp/1ldpr1321549213.ps tmp/1ldpr1321549213.png",intern=TRUE))
character(0)
> try(system("convert tmp/2qs511321549213.ps tmp/2qs511321549213.png",intern=TRUE))
character(0)
> try(system("convert tmp/3avyw1321549213.ps tmp/3avyw1321549213.png",intern=TRUE))
character(0)
> try(system("convert tmp/4um9l1321549213.ps tmp/4um9l1321549213.png",intern=TRUE))
character(0)
> try(system("convert tmp/5c0fc1321549213.ps tmp/5c0fc1321549213.png",intern=TRUE))
character(0)
> try(system("convert tmp/6supb1321549213.ps tmp/6supb1321549213.png",intern=TRUE))
character(0)
> try(system("convert tmp/72a6v1321549213.ps tmp/72a6v1321549213.png",intern=TRUE))
character(0)
> try(system("convert tmp/8ita41321549213.ps tmp/8ita41321549213.png",intern=TRUE))
character(0)
> try(system("convert tmp/960vx1321549213.ps tmp/960vx1321549213.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.575   0.432   3.556