R version 2.12.1 (2010-12-16)
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(24,25,17,18,18,16,20,16,18,17,23,30,23,18,15,12,21,15,20,31,27,34,21,31,19,16,20,21,22,17,24,25,26,25,17,32,33,13,32,25,29,22,18,17,20,15,20,33,29,23,26,18,20,11,28,26,22,17,12,14,17,21,19,18,10,29,31,19,9,20,28,19,30,29,26,23,13,21,19,28,23,18,21,20,23,21,21,15,28,19,26,10,16,22,19,31,31,29,19,22,23,15,20,18,23,25,21,24,25,17,13,28,21,25,9,16,19,17,25,20,29,14,22,15,19,20,15,20,18,33,22,16,17,16,21,26,18,18,17,22,30,30,24,21,21,29,31,20,16,22,20,28,38,22,20,17,28,22,31)
> x <- c(12,8,8,8,9,7,4,11,7,7,12,10,10,8,8,4,9,8,7,11,9,11,13,8,8,9,6,9,9,6,6,16,5,7,9,6,6,5,12,7,10,9,8,5,8,8,10,6,8,7,4,8,8,4,20,8,8,6,4,8,9,6,7,9,5,5,8,8,6,8,7,7,9,11,6,8,6,9,8,6,10,8,8,10,5,7,5,8,14,7,8,6,5,6,10,12,9,12,7,8,10,6,10,10,10,5,7,10,11,6,7,12,11,11,11,5,8,6,9,4,4,7,11,6,7,8,4,8,9,8,11,8,5,4,8,10,6,9,9,13,9,10,20,5,11,6,9,7,9,10,9,8,7,6,13,6,8,10,16)
> 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 
-14.408  -3.450  -1.323   3.721  17.221 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  16.1785     1.3883  11.653  < 2e-16 ***
x             0.6572     0.1604   4.098 6.65e-05 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5.457 on 157 degrees of freedom
Multiple R-squared: 0.09664,	Adjusted R-squared: 0.09089 
F-statistic:  16.8 on 1 and 157 DF,  p-value: 6.653e-05 

> postscript(file="/var/www/rcomp/tmp/1zitp1321375753.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/2tpbt1321375753.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 
-5.245e-15 -7.320e-16  1.215e-16  6.370e-16  1.834e-15 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.618e+01  2.835e-16 5.706e+16   <2e-16 ***
x           6.572e-01  3.275e-17 2.007e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.114e-15 on 157 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 4.028e+32 on 1 and 157 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/371lr1321375753.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-14.408  -3.450  -1.323   3.721  17.221 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  8.954e-17  1.388e+00       0        1
x           -4.544e-18  1.604e-01       0        1

Residual standard error: 5.457 on 157 degrees of freedom
Multiple R-squared: 6.325e-35,	Adjusted R-squared: -0.006369 
F-statistic: 9.93e-33 on 1 and 157 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/45jf01321375753.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-2.7776 -1.4632 -0.1488  1.1656  7.7377 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  2.158e+01  1.415e-01   152.5   <2e-16 ***
m$residuals -1.339e-17  2.610e-02     0.0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.785 on 157 degrees of freedom
Multiple R-squared: 4.038e-31,	Adjusted R-squared: -0.006369 
F-statistic: 6.34e-29 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/www/rcomp/tmp/5b2dg1321375753.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 
-14.6325  -3.5781  -0.9638   3.5536  16.3074 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)  
(Intercept) 0.004187   0.431310   0.010   0.9923  
Residuals   0.138559   0.079454   1.744   0.0831 .
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5.421 on 156 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.01912,	Adjusted R-squared: 0.01283 
F-statistic: 3.041 on 1 and 156 DF,  p-value: 0.08315 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6pye61321375753.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/74bkf1321375753.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/84mq41321375753.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/95jtz1321375753.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/1095sg1321375753.tab") 
> 
> try(system("convert tmp/1zitp1321375753.ps tmp/1zitp1321375753.png",intern=TRUE))
character(0)
> try(system("convert tmp/2tpbt1321375753.ps tmp/2tpbt1321375753.png",intern=TRUE))
character(0)
> try(system("convert tmp/371lr1321375753.ps tmp/371lr1321375753.png",intern=TRUE))
character(0)
> try(system("convert tmp/45jf01321375753.ps tmp/45jf01321375753.png",intern=TRUE))
character(0)
> try(system("convert tmp/5b2dg1321375753.ps tmp/5b2dg1321375753.png",intern=TRUE))
character(0)
> try(system("convert tmp/6pye61321375753.ps tmp/6pye61321375753.png",intern=TRUE))
character(0)
> try(system("convert tmp/74bkf1321375753.ps tmp/74bkf1321375753.png",intern=TRUE))
character(0)
> try(system("convert tmp/84mq41321375753.ps tmp/84mq41321375753.png",intern=TRUE))
character(0)
> try(system("convert tmp/95jtz1321375753.ps tmp/95jtz1321375753.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.360   0.516   5.531