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(5,3,0,7,4,1,6,3,12,0,5,6,6,6,2,1,5,7,3,3,3,7,8,6,3,5,5,10,2,6,4,6,8,4,5,10,6,7,4,10,4,3,3,3,3,7,15,0,0,4,5,5,2,3,0,9,2,7,7,0,0,10,2,1,8,6,11,3,8,6,9,9,8,8,7,6,5,4,6,3,2,12,8,5,9,6,5,2,4,7,5,6,7,8,6,0,1,5,5,5,7,7,1,3,4,8,6,6,2,2,3,3,0,2,8,8,0,5,9,6,6,3,9,7,8,0,7,0,5,0,14,5,2,8,4,2,6,3,5,9,3,3,0,10,4,2,3,10,7,0,6,8,0,4,10,5)
> x <- c(13,12,15,12,10,12,15,9,12,11,11,11,15,7,11,11,10,14,10,6,11,15,11,12,14,15,9,13,13,16,13,12,14,11,9,16,12,10,13,16,14,15,5,8,11,16,17,9,9,13,10,6,12,8,14,12,11,16,8,15,7,16,14,16,9,14,11,13,15,5,15,13,11,11,12,12,12,12,14,6,7,14,14,10,13,12,9,12,16,10,14,10,16,15,12,10,8,8,11,13,16,16,14,11,4,14,9,14,8,8,11,12,11,14,15,16,16,11,14,14,12,14,8,13,16,12,16,12,11,4,16,15,10,13,15,12,14,7,19,12,12,13,15,8,12,10,8,10,15,16,13,16,9,14,14,12)
> 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 
-6.2316 -1.9990  0.3092  1.7888  8.4602 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  1.30110    1.01308   1.284 0.200967    
x            0.30816    0.08173   3.770 0.000232 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2.988 on 154 degrees of freedom
Multiple R-squared: 0.08451,	Adjusted R-squared: 0.07857 
F-statistic: 14.22 on 1 and 154 DF,  p-value: 0.0002318 

> postscript(file="/var/www/rcomp/tmp/1mu2n1292839923.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/2mu2n1292839923.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 
-7.925e-16 -2.721e-16 -5.663e-17  3.188e-16  1.058e-15 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.301e+00  1.400e-16 9.293e+15   <2e-16 ***
x           3.082e-01  1.130e-17 2.728e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 4.13e-16 on 154 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 7.443e+32 on 1 and 154 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3f4281292839923.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-6.2316 -1.9990  0.3092  1.7888  8.4602 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  1.903e-16  1.013e+00       0        1
x           -1.192e-17  8.173e-02       0        1

Residual standard error: 2.988 on 154 degrees of freedom
Multiple R-squared: 2.191e-34,	Adjusted R-squared: -0.006494 
F-statistic: 3.375e-32 on 1 and 154 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4qd1t1292839923.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-2.47909 -0.63014 -0.01383  0.60249  2.14328 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  5.013e+00  7.269e-02   68.96   <2e-16 ***
m$residuals -1.124e-17  2.448e-02    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.9079 on 154 degrees of freedom
Multiple R-squared: 5.593e-32,	Adjusted R-squared: -0.006494 
F-statistic: 8.614e-30 on 1 and 154 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/5i4ie1292839923.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 
-6.136 -2.069  0.112  1.885  8.528 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept)  0.001981   0.239803   0.008    0.993
Residuals   -0.090264   0.080512  -1.121    0.264

Residual standard error: 2.986 on 153 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.008148,	Adjusted R-squared: 0.001665 
F-statistic: 1.257 on 1 and 153 DF,  p-value: 0.264 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6i4ie1292839923.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7tvhh1292839923.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8tvhh1292839923.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9tvhh1292839923.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/100ext1292839923.tab") 
> 
> try(system("convert tmp/1mu2n1292839923.ps tmp/1mu2n1292839923.png",intern=TRUE))
character(0)
> try(system("convert tmp/2mu2n1292839923.ps tmp/2mu2n1292839923.png",intern=TRUE))
character(0)
> try(system("convert tmp/3f4281292839923.ps tmp/3f4281292839923.png",intern=TRUE))
character(0)
> try(system("convert tmp/4qd1t1292839923.ps tmp/4qd1t1292839923.png",intern=TRUE))
character(0)
> try(system("convert tmp/5i4ie1292839923.ps tmp/5i4ie1292839923.png",intern=TRUE))
character(0)
> try(system("convert tmp/6i4ie1292839923.ps tmp/6i4ie1292839923.png",intern=TRUE))
character(0)
> try(system("convert tmp/7tvhh1292839923.ps tmp/7tvhh1292839923.png",intern=TRUE))
character(0)
> try(system("convert tmp/8tvhh1292839923.ps tmp/8tvhh1292839923.png",intern=TRUE))
character(0)
> try(system("convert tmp/9tvhh1292839923.ps tmp/9tvhh1292839923.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.320   1.470   3.788