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(5.5,3.5,8.5,5,6,6,5.5,5.5,6,6.5,7,8,5.5,5,5.5,7.5,4.5,5.5,8.5,8.5,5.5,9,7,5,5.5,7.5,7.5,6.5,8,6.5,4.5,9,9,6,8.5,4.5,4.5,6,9,6,9,7,7.5,8,5,5.5,7,4.5,6,8.5,2.5,6,6,3,12,6,6,7,3.5,6.5,6,6.5,7,4,5.5,4.5,5.5,6.5,5,5.5,6,4.5,7.5,9,7.5,6,6.5,7,5,6.5,6.5,5.5,6.5,8,4,8,5.5,4.5,8,6,7,4,4.5,7.5,5.5,10.5,7,9,6,6.5,7.5,6,9.5,7.5,5.5,5.5,5,6.5,7.5,6,6,8,4.5,9,4,6.5,8.5,4.5,7.5,4,3.5,6,7,3,4,8.5,5,5.5,7,5.5,6.5,6,5.5,4.5,6,10,6,6.5,6,6,4.5,7.5,12,3.5,8.5,5.5,8.5,5.5,6,7,5.5,8,10.5,7,10,6.5,5.5,7.5,9.5)
> x <- c(5.6,4.4,2.4,4.8,3.2,4,4,4.4,6.4,4.4,5.2,4.8,3.2,4.8,4.4,1.6,3.6,3.2,3.2,5.6,6,6.4,3.6,5.6,4.4,3.2,3.6,3.6,3.6,3.6,4,6.4,4.4,3.2,3.6,6.4,4.4,6.4,4.8,4.8,5.6,3.6,4,3.6,4,4.8,5.6,5.6,4,5.6,6.4,3.6,4,2.4,3.2,5.2,4,3.2,2.8,6,3.6,4,4.8,5.2,4,4.4,3.2,3.6,5.2,4.4,3.2,3.6,3.6,6,3.6,4,5.6,4.8,4.8,4.4,5.6,2.4,4.8,3.2,5.6,4.4,4,5.6,4.8,4,5.6,2,4.4,4,3.6,4,6.4,5.2,3.6,4,4,2.8,3.6,3.2,5.6,5.6,3.2,3.6,5.6,5.6,3.2,3.2,3.2,2.8,2.4,3.2,2.4,4.4,5.6,4.4,4.4,4.4,5.6,3.2,8,4.4,3.2,4.4,4,5.6,4.4,3.6,3.6,3.2,4,5.2,5.2,4.8,3.2,5.2,5.6,4.8,5.6,6,5.2,6.4,3.6,3.6,3.6,3.2,2.8,6.4,4.4,3.6,4.4,3.6,5.6,5.2,6.4)
> par1 = '0'
> 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 
-4.0133 -0.9797 -0.3792  1.0873  5.6208 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   6.2451     0.5519  11.316   <2e-16 ***
x             0.0419     0.1227   0.342    0.733    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.728 on 157 degrees of freedom
Multiple R-squared: 0.0007424,	Adjusted R-squared: -0.005622 
F-statistic: 0.1166 on 1 and 157 DF,  p-value: 0.7332 

> postscript(file="/var/wessaorg/rcomp/tmp/19taz1321375352.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/2pih61321375352.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 
-1.553e-15 -2.237e-16 -2.194e-17  1.881e-16  6.644e-16 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 6.245e+00  9.775e-17 6.389e+16   <2e-16 ***
x           4.190e-02  2.173e-17 1.928e+15   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 3.06e-16 on 157 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.718e+30 on 1 and 157 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3hxgs1321375352.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-4.0133 -0.9797 -0.3792  1.0873  5.6208 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -9.988e-17  5.519e-01       0        1
x            2.570e-17  1.227e-01       0        1

Residual standard error: 1.728 on 157 degrees of freedom
Multiple R-squared: 1.889e-33,	Adjusted R-squared: -0.006369 
F-statistic: 2.965e-31 on 1 and 157 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4qc231321375352.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
      Min        1Q    Median        3Q       Max 
-0.115538 -0.031731  0.001792  0.035315  0.152645 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  6.428e+00  3.734e-03    1721   <2e-16 ***
m$residuals -7.924e-18  2.175e-03       0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.04709 on 157 degrees of freedom
Multiple R-squared: 8.157e-29,	Adjusted R-squared: -0.006369 
F-statistic: 1.281e-26 on 1 and 157 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/5lcl31321375352.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 
-3.7365 -1.1314 -0.2045  1.0541  5.6629 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)  
(Intercept)  0.003578   0.136435   0.026   0.9791  
Residuals   -0.138762   0.079991  -1.735   0.0848 .
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.715 on 156 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.01893,	Adjusted R-squared: 0.01264 
F-statistic: 3.009 on 1 and 156 DF,  p-value: 0.08477 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/64wtn1321375352.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7t6441321375352.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8jzjt1321375352.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9sush1321375352.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/10caot1321375352.tab") 
> 
> try(system("convert tmp/19taz1321375352.ps tmp/19taz1321375352.png",intern=TRUE))
character(0)
> try(system("convert tmp/2pih61321375352.ps tmp/2pih61321375352.png",intern=TRUE))
character(0)
> try(system("convert tmp/3hxgs1321375352.ps tmp/3hxgs1321375352.png",intern=TRUE))
character(0)
> try(system("convert tmp/4qc231321375352.ps tmp/4qc231321375352.png",intern=TRUE))
character(0)
> try(system("convert tmp/5lcl31321375352.ps tmp/5lcl31321375352.png",intern=TRUE))
character(0)
> try(system("convert tmp/64wtn1321375352.ps tmp/64wtn1321375352.png",intern=TRUE))
character(0)
> try(system("convert tmp/7t6441321375352.ps tmp/7t6441321375352.png",intern=TRUE))
character(0)
> try(system("convert tmp/8jzjt1321375352.ps tmp/8jzjt1321375352.png",intern=TRUE))
character(0)
> try(system("convert tmp/9sush1321375352.ps tmp/9sush1321375352.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.556   0.423   3.032