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(68,56,30,70,29,43,66,22,52,34,87,107,57,89,41,122,75,45,40,86,68,76,48,104,83,63,40,83,56,71,93,72,107,75,72,62,90,40,18,75,55,63,55,47,23,69,66,84,73,70,42,7,95,61,32,56,108,71,78,69,85,47,50,76,56,21,56,68,66,52,65,51,72,50,75,81,75,61,62,61,55,60,79,32,27,59,82,71,32,80,36,76,57,73,71,60,67,56,123,65,87,62,37,64,17,28,48,64,43,60,87,75,0,54,30,47,49,0,29,9,78,90,50,24,21,71,102,83,89,83,104,60,48,71,81,50,82,45,67,59,12,57,62,78,73,89,51,84,0,0,0,0,0,0,34,55,0,0,0,13,4,31,0,19)
> x <- c(22,16,22,21,14,13,18,18,15,16,25,32,20,28,23,35,20,22,15,23,23,22,14,26,24,18,15,23,17,22,25,28,30,20,20,20,26,16,8,20,20,25,16,18,17,22,26,24,24,20,12,4,26,18,11,16,29,20,23,20,27,18,27,22,18,10,15,23,20,15,20,16,20,20,22,24,20,19,18,21,18,25,21,23,8,20,22,19,22,23,20,21,19,20,20,16,20,19,33,19,27,21,20,19,12,17,18,20,16,20,23,26,1,20,11,22,19,0,16,8,23,26,18,13,8,19,29,28,26,27,30,17,16,19,24,16,22,18,21,22,9,21,21,21,25,25,16,25,0,0,0,0,0,0,16,27,0,0,0,5,1,23,0,12)
> 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 
-40.270  -4.941   4.159   8.341  22.777 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  -5.0328     2.6548  -1.896   0.0598 .  
x             3.3175     0.1332  24.900   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 12.63 on 162 degrees of freedom
Multiple R-squared: 0.7928,	Adjusted R-squared: 0.7916 
F-statistic:   620 on 1 and 162 DF,  p-value: < 2.2e-16 

> postscript(file="/var/wessaorg/rcomp/tmp/1i53b1321355166.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/2txuf1321355166.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 
-1.289e-14 -1.250e-15 -2.600e-16  3.347e-15  5.559e-14 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept) -5.033e+00  1.368e-15 -3.679e+15   <2e-16 ***
x            3.318e+00  6.865e-17  4.833e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 6.507e-15 on 162 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 2.336e+33 on 1 and 162 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/37m221321355166.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-40.270  -4.941   4.159   8.341  22.777 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.864e-17  2.655e+00       0        1
x           -7.613e-18  1.332e-01       0        1

Residual standard error: 12.63 on 162 degrees of freedom
Multiple R-squared: 3.167e-34,	Adjusted R-squared: -0.006173 
F-statistic: 5.13e-32 on 1 and 162 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/40nud1321355166.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-61.374  -8.294   4.976  14.929  54.739 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 5.634e+01  1.929e+00    29.2   <2e-16 ***
m$residuals 3.439e-17  1.537e-01     0.0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 24.71 on 162 degrees of freedom
Multiple R-squared: 2.057e-31,	Adjusted R-squared: -0.006173 
F-statistic: 3.333e-29 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/wessaorg/rcomp/tmp/5awjh1321355166.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 
-39.710  -4.727   3.500   8.038  23.424 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept)  0.009356   0.987392   0.009    0.992
Residuals   -0.099649   0.078805  -1.264    0.208

Residual standard error: 12.61 on 161 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.009834,	Adjusted R-squared: 0.003684 
F-statistic: 1.599 on 1 and 161 DF,  p-value: 0.2079 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/67ryz1321355166.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7b24q1321355166.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8b1rt1321355166.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/96u5z1321355166.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/10rzfz1321355166.tab") 
> 
> try(system("convert tmp/1i53b1321355166.ps tmp/1i53b1321355166.png",intern=TRUE))
character(0)
> try(system("convert tmp/2txuf1321355166.ps tmp/2txuf1321355166.png",intern=TRUE))
character(0)
> try(system("convert tmp/37m221321355166.ps tmp/37m221321355166.png",intern=TRUE))
character(0)
> try(system("convert tmp/40nud1321355166.ps tmp/40nud1321355166.png",intern=TRUE))
character(0)
> try(system("convert tmp/5awjh1321355166.ps tmp/5awjh1321355166.png",intern=TRUE))
character(0)
> try(system("convert tmp/67ryz1321355166.ps tmp/67ryz1321355166.png",intern=TRUE))
character(0)
> try(system("convert tmp/7b24q1321355166.ps tmp/7b24q1321355166.png",intern=TRUE))
character(0)
> try(system("convert tmp/8b1rt1321355166.ps tmp/8b1rt1321355166.png",intern=TRUE))
character(0)
> try(system("convert tmp/96u5z1321355166.ps tmp/96u5z1321355166.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.621   0.429   3.067