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(322.4,321.7,320.5,312.8,309.7,315.6,309.7,304.6,302.5,301.5,298.8,291.3,293.6,294.6,285.9,297.6,301.1,293.8,297.7,292.9,292.1,287.2,288.2,283.8,299.9,292.4,293.3,300.8,293.7,293.1,294.4,292.1,291.9,282.5,277.9,287.5,289.2,285.6,293.2,290.8,283.1,275,287.8,287.8,287.4,284,277.8,277.6,304.9,294,300.9,324,332.9,341.6,333.4,348.2,344.7,344.7,329.3,323.5,323.2,317.4,330.1,329.2,334.9,315.8,315.4,319.6,317.3,313.8,315.8,311.3)
> x <- c(65.3,58.96,59.17,62.37,66.28,55.62,55.23,55.85,56.75,50.89,53.88,52.95,55.08,53.61,58.78,61.85,55.91,53.32,46.41,44.57,50,50,53.36,46.23,50.45,49.07,45.85,48.45,49.96,46.53,50.51,47.58,48.05,46.84,47.67,49.16,55.54,55.82,58.22,56.19,57.77,63.19,54.76,55.74,62.54,61.39,69.6,79.23,80,93.68,107.63,100.18,97.3,90.45,80.64,80.58,75.82,85.59,89.35,89.42,104.73,95.32,89.27,90.44,86.97,79.98,81.22,87.35,83.64,82.22,94.4,102.18)
> 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 
-35.150  -7.112   0.121   7.432  34.554 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 260.11335    6.34238  41.012  < 2e-16 ***
x             0.66435    0.09221   7.205 5.28e-10 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 14.04 on 70 degrees of freedom
Multiple R-squared: 0.4258,	Adjusted R-squared: 0.4176 
F-statistic: 51.91 on 1 and 70 DF,  p-value: 5.28e-10 

> postscript(file="/var/wessaorg/rcomp/tmp/144qc1321548351.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/2j11e1321548351.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 
-2.877e-14 -1.407e-14  1.147e-15  1.342e-14  2.535e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.601e+02  7.178e-15 3.624e+16   <2e-16 ***
x           6.643e-01  1.044e-16 6.366e+15   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.589e-14 on 70 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 4.053e+31 on 1 and 70 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3ahif1321548351.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-35.150  -7.112   0.121   7.432  34.554 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  5.033e-16  6.342e+00       0        1
x           -1.654e-17  9.221e-02       0        1

Residual standard error: 14.04 on 70 degrees of freedom
Multiple R-squared: 1.526e-33,	Adjusted R-squared: -0.01429 
F-statistic: 1.068e-31 on 1 and 70 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/499lf1321548351.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-14.503  -9.278  -5.249  10.011  27.391 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  3.042e+02  1.425e+00   213.5   <2e-16 ***
m$residuals -5.298e-17  1.029e-01     0.0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 12.09 on 70 degrees of freedom
Multiple R-squared: 2.842e-30,	Adjusted R-squared: -0.01429 
F-statistic: 1.989e-28 on 1 and 70 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/5jvnq1321548351.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 
-21.3749  -5.1852  -0.8306   4.2027  21.7528 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) -0.44978    1.03095  -0.436    0.664    
Residuals    0.78037    0.07471  10.445 7.51e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8.686 on 69 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.6126,	Adjusted R-squared: 0.607 
F-statistic: 109.1 on 1 and 69 DF,  p-value: 7.507e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6avuu1321548351.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/799cg1321548351.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8boqg1321548351.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9tgtc1321548351.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/10hurs1321548351.tab") 
> 
> try(system("convert tmp/144qc1321548351.ps tmp/144qc1321548351.png",intern=TRUE))
character(0)
> try(system("convert tmp/2j11e1321548351.ps tmp/2j11e1321548351.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ahif1321548351.ps tmp/3ahif1321548351.png",intern=TRUE))
character(0)
> try(system("convert tmp/499lf1321548351.ps tmp/499lf1321548351.png",intern=TRUE))
character(0)
> try(system("convert tmp/5jvnq1321548351.ps tmp/5jvnq1321548351.png",intern=TRUE))
character(0)
> try(system("convert tmp/6avuu1321548351.ps tmp/6avuu1321548351.png",intern=TRUE))
character(0)
> try(system("convert tmp/799cg1321548351.ps tmp/799cg1321548351.png",intern=TRUE))
character(0)
> try(system("convert tmp/8boqg1321548351.ps tmp/8boqg1321548351.png",intern=TRUE))
character(0)
> try(system("convert tmp/9tgtc1321548351.ps tmp/9tgtc1321548351.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.471   0.422   2.899