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(29,44,36,37,53,68,75,18,31,25,34,14,11,11,22,16,27,9,29,30,40,32,41,147,22,29,46,23,4,31,39,15,32,27,32,34,17,46,42,43,34,19)
> x <- c(6.2,9.5,10.5,7.7,8.6,34.1,11,6.9,7.3,15.1,29.1,2.2,5.7,2,2.5,4,5.4,2.2,7.2,15.1,16.5,18.4,36.2,39.7,18.5,23.3,12.2,5.6,21.8,21.6,9,3.6,5,28.6,17.4,11.3,3.4,11.9,10.5,10.7,10.8,4.8)
> 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 
-41.628  -9.028  -0.009   7.882  77.861 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  16.9952     4.9949   3.403 0.001528 ** 
x             1.3135     0.3144   4.177 0.000155 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 19.46 on 40 degrees of freedom
Multiple R-squared: 0.3037,	Adjusted R-squared: 0.2863 
F-statistic: 17.45 on 1 and 40 DF,  p-value: 0.0001553 

> postscript(file="/var/wessaorg/rcomp/tmp/1ucdl1321372834.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/2yrm01321372834.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 
-4.671e-15 -1.720e-15 -6.540e-17  1.258e-15  9.502e-15 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.700e+01  7.553e-16 2.250e+16   <2e-16 ***
x           1.313e+00  4.755e-17 2.762e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2.943e-15 on 40 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 7.631e+32 on 1 and 40 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/376ji1321372834.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-41.628  -9.028  -0.009   7.882  77.861 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) 8.591e-17  4.995e+00       0        1
x           4.554e-18  3.144e-01       0        1

Residual standard error: 19.46 on 40 degrees of freedom
Multiple R-squared: 3.85e-35,	Adjusted R-squared: -0.025 
F-statistic: 1.54e-33 on 1 and 40 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4yg3h1321372834.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-14.045  -9.283  -2.880   5.887  35.473 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 3.367e+01  1.984e+00   16.97   <2e-16 ***
m$residuals 6.552e-17  1.044e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 12.86 on 40 degrees of freedom
Multiple R-squared: 2.902e-31,	Adjusted R-squared: -0.025 
F-statistic: 1.161e-29 on 1 and 40 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/58n2k1321372834.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 
-41.687 -10.496   0.097   8.757  75.470 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.08316    3.06001  -0.027    0.978
Residuals   -0.10509    0.15926  -0.660    0.513

Residual standard error: 19.59 on 39 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.01104,	Adjusted R-squared: -0.01432 
F-statistic: 0.4355 on 1 and 39 DF,  p-value: 0.5132 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/62z6j1321372834.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7xf801321372834.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/82n1w1321372834.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/90ehy1321372834.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/1054yd1321372834.tab") 
> 
> try(system("convert tmp/1ucdl1321372834.ps tmp/1ucdl1321372834.png",intern=TRUE))
character(0)
> try(system("convert tmp/2yrm01321372834.ps tmp/2yrm01321372834.png",intern=TRUE))
character(0)
> try(system("convert tmp/376ji1321372834.ps tmp/376ji1321372834.png",intern=TRUE))
character(0)
> try(system("convert tmp/4yg3h1321372834.ps tmp/4yg3h1321372834.png",intern=TRUE))
character(0)
> try(system("convert tmp/58n2k1321372834.ps tmp/58n2k1321372834.png",intern=TRUE))
character(0)
> try(system("convert tmp/62z6j1321372834.ps tmp/62z6j1321372834.png",intern=TRUE))
character(0)
> try(system("convert tmp/7xf801321372834.ps tmp/7xf801321372834.png",intern=TRUE))
character(0)
> try(system("convert tmp/82n1w1321372834.ps tmp/82n1w1321372834.png",intern=TRUE))
character(0)
> try(system("convert tmp/90ehy1321372834.ps tmp/90ehy1321372834.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.506   0.465   3.007