R version 2.12.1 (2010-12-16)
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(50,44,55,44,66,54,52,58,53,52,58,57,45,63,43,46,70,59,50,57,67,58,67,47,58,70,68,65,68,74,67,55,74,80,45,78,69,65,69,74,72,64,70,73,71,67,67,70,78,68,79,77,75,73,76,78,75,80,80,68,72,78,79,78,81,75,81,77,79,76,77,77,78,73,74,75,80,75,76,76,76,75,74,75,72)
> x <- c(9,14,14,15,16,16,16,21,22,22,25,29,31,34,35,37,38,39,40,40,43,45,47,47,48,48,49,50,51,55,57,58,63,64,65,67,68,68,70,70,70,71,71,71,73,79,80,82,82,83,84,85,86,86,87,88,88,89,89,90,90,93,93,93,93,95,96,96,97,98,98,98,99,99,99,100,100,100,100,100,100,100,100,100,100)
> 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 
-22.1185  -2.8603   0.3674   3.8226  13.9200 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 47.16953    1.72551   27.34   <2e-16 ***
x            0.30691    0.02363   12.99   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 6.195 on 83 degrees of freedom
Multiple R-squared: 0.6702,	Adjusted R-squared: 0.6663 
F-statistic: 168.7 on 1 and 83 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/rcomp/tmp/1mfr61321295557.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/2cmgn1321295557.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 
-1.596e-14 -2.276e-15 -5.842e-16  3.557e-15  7.012e-15 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 4.717e+01  1.153e-15 4.090e+16   <2e-16 ***
x           3.069e-01  1.579e-17 1.943e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 4.141e-15 on 83 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.776e+32 on 1 and 83 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3k4v21321295557.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-22.1185  -2.8603   0.3674   3.8226  13.9200 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.599e-18  1.726e+00       0        1
x            1.452e-18  2.363e-02       0        1

Residual standard error: 6.195 on 83 degrees of freedom
Multiple R-squared: 2.776e-34,	Adjusted R-squared: -0.01205 
F-statistic: 2.304e-32 on 1 and 83 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4vklp1321295557.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-17.880  -6.831   1.148   7.900  10.049 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  6.781e+01  9.580e-01   70.78   <2e-16 ***
m$residuals -5.211e-17  1.565e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8.833 on 83 degrees of freedom
Multiple R-squared: 7.797e-31,	Adjusted R-squared: -0.01205 
F-statistic: 6.472e-29 on 1 and 83 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/5s2yh1321295557.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 
-19.6239  -3.5856   0.7862   4.2567  14.6008 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)  
(Intercept)  0.01245    0.66786   0.019    0.985  
Residuals   -0.19009    0.10904  -1.743    0.085 .
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 6.121 on 82 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.03574,	Adjusted R-squared: 0.02398 
F-statistic: 3.039 on 1 and 82 DF,  p-value: 0.08501 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/69xoe1321295557.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7rira1321295557.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8rh5e1321295557.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9xwl91321295557.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/10j1x31321295557.tab") 
> 
> try(system("convert tmp/1mfr61321295557.ps tmp/1mfr61321295557.png",intern=TRUE))
character(0)
> try(system("convert tmp/2cmgn1321295557.ps tmp/2cmgn1321295557.png",intern=TRUE))
character(0)
> try(system("convert tmp/3k4v21321295557.ps tmp/3k4v21321295557.png",intern=TRUE))
character(0)
> try(system("convert tmp/4vklp1321295557.ps tmp/4vklp1321295557.png",intern=TRUE))
character(0)
> try(system("convert tmp/5s2yh1321295557.ps tmp/5s2yh1321295557.png",intern=TRUE))
character(0)
> try(system("convert tmp/69xoe1321295557.ps tmp/69xoe1321295557.png",intern=TRUE))
character(0)
> try(system("convert tmp/7rira1321295557.ps tmp/7rira1321295557.png",intern=TRUE))
character(0)
> try(system("convert tmp/8rh5e1321295557.ps tmp/8rh5e1321295557.png",intern=TRUE))
character(0)
> try(system("convert tmp/9xwl91321295557.ps tmp/9xwl91321295557.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.072   0.572   3.720