R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(5,2,3,5,3,5,3,3,6,6,6,5,4,3,5,3,2,5,1,2,4,7,6,5,1,3,5,5,6,5,4,3,5,3,5,1,2,6,1,5,6,5,4,5,6,2,6,2,4,6,6,3,5,2,7,2,6,5,4,1,5,4,4,2,3,2,3,5,2,7,1,2,2,6,5,1,4,4,3,4,3,3,2,3,3,3,2,5,2,2,5,1,2,5,2,6,2,6,3,2,2,2,5,3,1,3,6,6,3,2,5,3,3,4,5,5,5,4,6,1,5,5,3,1,5,2,4,5,4,2,5,4,3,3,5,2,5,4,4,1,7,4,2,5,3,6,2,1,3,3,5,3,2,2,2,3,2,1,6,6,6,2,2,7)
> x <- c(1,6,6,5,6,6,7,4,7,1,4,3,3,3,7,4,7,5,7,3,5,6,7,4,5,6,7,6,1,5,7,5,6,4,7,5,6,6,6,6,7,5,5,6,3,6,2,5,3,6,3,6,6,6,2,6,3,7,6,5,2,3,6,6,6,3,6,5,7,7,6,7,2,7,5,6,5,5,7,6,6,7,6,4,3,6,7,5,6,6,6,7,6,4,7,6,6,6,4,6,6,2,3,1,5,2,6,4,6,4,7,1,3,6,6,5,5,6,5,5,1,5,6,6,4,6,4,6,6,5,6,5,5,6,6,5,4,5,4,6,2,7,5,5,6,3,7,2,4,7,6,6,6,2,4,5,6,3,7,5,4,5,5,7)
> 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 
-3.05147 -1.60353  0.06052  1.39647  3.50846 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  4.27544    0.43431   9.844   <2e-16 ***
x           -0.11199    0.08169  -1.371    0.172    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.664 on 162 degrees of freedom
Multiple R-squared: 0.01147,	Adjusted R-squared: 0.005366 
F-statistic: 1.879 on 1 and 162 DF,  p-value: 0.1723 

> postscript(file="/var/www/rcomp/tmp/18iic1289813163.ps",horizontal=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/28iic1289813163.ps",horizontal=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 
-6.955e-16 -1.854e-16 -1.729e-16  2.466e-16  6.911e-16 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept)  4.275e+00  6.855e-17  6.237e+16   <2e-16 ***
x           -1.120e-01  1.289e-17 -8.685e+15   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2.627e-16 on 162 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 7.543e+31 on 1 and 162 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/31aix1289813163.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-3.05147 -1.60353  0.06052  1.39647  3.50846 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept)  7.479e-17  4.343e-01  1.72e-16        1
x           -7.806e-18  8.169e-02 -9.56e-17        1

Residual standard error: 1.664 on 162 degrees of freedom
Multiple R-squared: 4.386e-34,	Adjusted R-squared: -0.006173 
F-statistic: 7.105e-32 on 1 and 162 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4b1h01289813163.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-0.2158 -0.1038 -0.1038  0.1202  0.4561 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)    
(Intercept)  3.707e+00  1.400e-02     264.8   <2e-16 ***
m$residuals -1.401e-19  8.462e-03 -1.66e-17        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.1793 on 162 degrees of freedom
Multiple R-squared: 1.834e-29,	Adjusted R-squared: -0.006173 
F-statistic: 2.97e-27 on 1 and 162 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/54syl1289813163.ps",horizontal=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 
-3.17546 -1.48860 -0.08314  1.38243  3.42849 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.007023   0.130182  -0.054    0.957
Residuals   -0.087836   0.079558  -1.104    0.271

Residual standard error: 1.662 on 161 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.007514,	Adjusted R-squared: 0.00135 
F-statistic: 1.219 on 1 and 161 DF,  p-value: 0.2712 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/64syl1289813163.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7xjx61289813163.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8xjx61289813163.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/97be91289813163.ps",horizontal=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/103kci1289813163.tab") 
> 
> try(system("convert tmp/18iic1289813163.ps tmp/18iic1289813163.png",intern=TRUE))
character(0)
> try(system("convert tmp/28iic1289813163.ps tmp/28iic1289813163.png",intern=TRUE))
character(0)
> try(system("convert tmp/31aix1289813163.ps tmp/31aix1289813163.png",intern=TRUE))
character(0)
> try(system("convert tmp/4b1h01289813163.ps tmp/4b1h01289813163.png",intern=TRUE))
character(0)
> try(system("convert tmp/54syl1289813163.ps tmp/54syl1289813163.png",intern=TRUE))
character(0)
> try(system("convert tmp/64syl1289813163.ps tmp/64syl1289813163.png",intern=TRUE))
character(0)
> try(system("convert tmp/7xjx61289813163.ps tmp/7xjx61289813163.png",intern=TRUE))
character(0)
> try(system("convert tmp/8xjx61289813163.ps tmp/8xjx61289813163.png",intern=TRUE))
character(0)
> try(system("convert tmp/97be91289813163.ps tmp/97be91289813163.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.780   1.650   4.398