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(115,112,109,101,107,99,120,133,128,135,160,144,168,112,170,110,150,144,124,156,160,133,177,186,190,133,154,179,166,177,160,150,177,159,147,161,168,120,170,180,123,167,150,123,144,154,178,181,100,132,120,146,160,120,158,148,190,138,189,170,156,177,165,181,147,163,169,173,133,156,179,126,163,156,136,183,189,170,167,189,178)
> x <- c(20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100)
> 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 
-55.61 -16.36   0.35  17.94  46.00 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 122.6987     6.8534  17.903  < 2e-16 ***
x             0.4840     0.1064   4.548 1.93e-05 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 22.4 on 79 degrees of freedom
Multiple R-squared: 0.2075,	Adjusted R-squared: 0.1975 
F-statistic: 20.68 on 1 and 79 DF,  p-value: 1.929e-05 

> postscript(file="/var/wessaorg/rcomp/tmp/1mlqu1321384188.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/2e2km1321384188.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 
-1.538e-14 -6.650e-15  4.153e-16  7.481e-15  1.486e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.227e+02  2.580e-15 4.756e+16   <2e-16 ***
x           4.840e-01  4.006e-17 1.208e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8.431e-15 on 79 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.46e+32 on 1 and 79 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3rie01321384188.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
   Min     1Q Median     3Q    Max 
-55.61 -16.36   0.35  17.94  46.00 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.315e-16  6.853e+00       0        1
x            6.612e-18  1.064e-01       0        1

Residual standard error: 22.4 on 79 degrees of freedom
Multiple R-squared: 1.869e-34,	Adjusted R-squared: -0.01266 
F-statistic: 1.476e-32 on 1 and 79 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/49p3c1321384188.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-19.361  -9.681   0.000   9.681  19.361 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  1.517e+02  1.273e+00   119.2   <2e-16 ***
m$residuals -3.102e-18  5.757e-02     0.0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 11.46 on 79 degrees of freedom
Multiple R-squared: 2.803e-30,	Adjusted R-squared: -0.01266 
F-statistic: 2.214e-28 on 1 and 79 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/5mwio1321384188.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 
-59.054 -17.419   0.888  16.781  40.498 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)   0.2280     2.4906   0.092    0.927
Residuals     0.1242     0.1120   1.109    0.271

Residual standard error: 22.28 on 78 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.01553,	Adjusted R-squared: 0.002908 
F-statistic:  1.23 on 1 and 78 DF,  p-value: 0.2707 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6g4s01321384188.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7knze1321384188.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/89puv1321384188.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9akpp1321384188.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/10nace1321384188.tab") 
> 
> try(system("convert tmp/1mlqu1321384188.ps tmp/1mlqu1321384188.png",intern=TRUE))
character(0)
> try(system("convert tmp/2e2km1321384188.ps tmp/2e2km1321384188.png",intern=TRUE))
character(0)
> try(system("convert tmp/3rie01321384188.ps tmp/3rie01321384188.png",intern=TRUE))
character(0)
> try(system("convert tmp/49p3c1321384188.ps tmp/49p3c1321384188.png",intern=TRUE))
character(0)
> try(system("convert tmp/5mwio1321384188.ps tmp/5mwio1321384188.png",intern=TRUE))
character(0)
> try(system("convert tmp/6g4s01321384188.ps tmp/6g4s01321384188.png",intern=TRUE))
character(0)
> try(system("convert tmp/7knze1321384188.ps tmp/7knze1321384188.png",intern=TRUE))
character(0)
> try(system("convert tmp/89puv1321384188.ps tmp/89puv1321384188.png",intern=TRUE))
character(0)
> try(system("convert tmp/9akpp1321384188.ps tmp/9akpp1321384188.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.580   0.416   3.007