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(55,20,80,52,75,30,90,68,24,60,65,60,80,65,90,65,76,70,38,60,10,5,93,70,61,72,40,75,100,29,70,25,70,82,40,50,70,91,10,25,56,30,74,60,80,80,60,64,40,80,71,65,90,68,76,25,79,40,61,27,70,40,13,15,38,47,65,62,50,80,87,40,80,20,60,48,70,91,10,50,70,45,20,10,90,80,74,71,40,29,60,31,67,82,40,30,70,63,35,35,70,60,80,70,71)
> x <- c(1,0,0,0,1,1,1,1,0,0,1,0,1,1,0,1,1,1,0,1,0,0,1,0,1,1,0,1,1,0,1,0,1,0,0,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,0,1,1,1,1,0,1,1,0,0,0,0,1,0,1,1,0,1,1,1,1,0,1,1,1,1,0,0,0,1,1,0,1,1,0,0,0,1,1,0,0,0,1,1,0,0,0,1,0,1,1,1,1)
> 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 
-44.034 -16.565   2.435  15.966  42.435 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   47.565      3.217  14.786  < 2e-16 ***
x             16.469      4.292   3.837 0.000215 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 21.82 on 103 degrees of freedom
Multiple R-squared: 0.1251,	Adjusted R-squared: 0.1166 
F-statistic: 14.73 on 1 and 103 DF,  p-value: 0.0002147 

> postscript(file="/var/www/rcomp/tmp/1lne81290511457.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/2lne81290511457.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 
-2.992e-14 -3.309e-15 -1.199e-15 -1.199e-15  2.101e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 4.757e+01  8.154e-16 5.833e+16   <2e-16 ***
x           1.647e+01  1.088e-15 1.514e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5.531e-15 on 103 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 2.292e+32 on 1 and 103 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3eweb1290511457.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-44.034 -16.565   2.435  15.966  42.435 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept) -7.383e-16  3.217e+00 -2.29e-16        1
x           -2.668e-16  4.292e+00 -6.22e-17        1

Residual standard error: 21.82 on 103 degrees of freedom
Multiple R-squared: 2.098e-33,	Adjusted R-squared: -0.009709 
F-statistic: 2.161e-31 on 1 and 103 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/475ve1290511457.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
   Min     1Q Median     3Q    Max 
-9.254 -9.254  7.215  7.215  7.215 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 5.682e+01  8.051e-01    70.57   <2e-16 ***
m$residuals 6.185e-18  3.726e-02 1.66e-16        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8.25 on 103 degrees of freedom
Multiple R-squared: 3.81e-30,	Adjusted R-squared: -0.009709 
F-statistic: 3.924e-28 on 1 and 103 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/575ve1290511457.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 
-44.235 -16.907   2.229  15.865  42.354 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept)  0.086461   2.148115   0.040    0.968
Residuals   -0.006017   0.098979  -0.061    0.952

Residual standard error: 21.91 on 102 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 3.622e-05,	Adjusted R-squared: -0.009767 
F-statistic: 0.003695 on 1 and 102 DF,  p-value: 0.9516 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6zfch1290511457.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7s6bj1290511457.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8s6bj1290511457.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9s6bj1290511457.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/10og9t1290511457.tab") 
> 
> try(system("convert tmp/1lne81290511457.ps tmp/1lne81290511457.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lne81290511457.ps tmp/2lne81290511457.png",intern=TRUE))
character(0)
> try(system("convert tmp/3eweb1290511457.ps tmp/3eweb1290511457.png",intern=TRUE))
character(0)
> try(system("convert tmp/475ve1290511457.ps tmp/475ve1290511457.png",intern=TRUE))
character(0)
> try(system("convert tmp/575ve1290511457.ps tmp/575ve1290511457.png",intern=TRUE))
character(0)
> try(system("convert tmp/6zfch1290511457.ps tmp/6zfch1290511457.png",intern=TRUE))
character(0)
> try(system("convert tmp/7s6bj1290511457.ps tmp/7s6bj1290511457.png",intern=TRUE))
character(0)
> try(system("convert tmp/8s6bj1290511457.ps tmp/8s6bj1290511457.png",intern=TRUE))
character(0)
> try(system("convert tmp/9s6bj1290511457.ps tmp/9s6bj1290511457.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.730   1.800   4.559