R version 2.12.0 (2010-10-15)
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(29975,29124,29704,29564,30550,29812,30611,30577,30637,30944,30852,31216,31113,32073,31447,32293,31807,31778,31707,32135,31929,32923,33181,33435,34721,35179,35605,35931,35093,35053,35092,35295,35981,35606,35815,36144,36391,35642,36896,36399,38385,38226,38609,38227,38254,38047,38437,37963,38231,38283,38839,38833,39431,40091,40289,39433,38677,38107,38485,38464)
> x <- c(330123,334728,338414,338582,339904,341396,343496,344591,346099,347258,348503,348628,349913,352797,354539,353032,355576,355603,357889,359310,361253,364253,364872,364201,368830,368755,370117,372895,374215,375539,380550,382839,386678,389265,393978,397923,394691,394410,398981,399827,403635,402425,406939,404544,406309,407884,407151,414154,408459,407609,408503,409068,412860,415113,418053,415780,413562,414521,413948,413106)
> 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 
-1096.75  -416.39   -98.51   385.84  1785.77 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept) -1.023e+04  1.190e+03  -8.591 6.31e-12 ***
x            1.190e-01  3.131e-03  38.005  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 663.6 on 58 degrees of freedom
Multiple R-squared: 0.9614,	Adjusted R-squared: 0.9607 
F-statistic:  1444 on 1 and 58 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/rcomp/tmp/1yhaa1321373721.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/29qar1321373721.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 
-4.141e-12 -1.625e-12 -6.999e-13  6.921e-13  2.038e-11 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept) -1.023e+04  5.998e-12 -1.705e+15   <2e-16 ***
x            1.190e-01  1.578e-17  7.542e+15   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 3.344e-12 on 58 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 5.688e+31 on 1 and 58 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3mfg81321373721.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-1096.75  -416.39   -98.51   385.84  1785.77 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -8.797e-14  1.190e+03       0        1
x            1.750e-19  3.131e-03       0        1

Residual standard error: 663.6 on 58 degrees of freedom
Multiple R-squared: 2.035e-33,	Adjusted R-squared: -0.01724 
F-statistic: 1.18e-31 on 1 and 58 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/45fp21321373721.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-5832.5 -2971.8  -129.7  3315.1  4631.4 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 3.489e+04  4.275e+02   81.62   <2e-16 ***
m$residuals 1.733e-15  6.553e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 3311 on 58 degrees of freedom
Multiple R-squared: 2.247e-30,	Adjusted R-squared: -0.01724 
F-statistic: 1.303e-28 on 1 and 58 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/5chzv1321373721.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 
-1203.38  -313.26    60.68   321.44  1173.47 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) -20.3231    67.8757  -0.299    0.766    
Residuals     0.6027     0.1036   5.817 2.86e-07 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 521.3 on 57 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.3725,	Adjusted R-squared: 0.3615 
F-statistic: 33.84 on 1 and 57 DF,  p-value: 2.861e-07 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6ik7n1321373721.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7jjua1321373721.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/893981321373721.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9kjit1321373721.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/10atlw1321373722.tab") 
> 
> try(system("convert tmp/1yhaa1321373721.ps tmp/1yhaa1321373721.png",intern=TRUE))
character(0)
> try(system("convert tmp/29qar1321373721.ps tmp/29qar1321373721.png",intern=TRUE))
character(0)
> try(system("convert tmp/3mfg81321373721.ps tmp/3mfg81321373721.png",intern=TRUE))
character(0)
> try(system("convert tmp/45fp21321373721.ps tmp/45fp21321373721.png",intern=TRUE))
character(0)
> try(system("convert tmp/5chzv1321373721.ps tmp/5chzv1321373721.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ik7n1321373721.ps tmp/6ik7n1321373721.png",intern=TRUE))
character(0)
> try(system("convert tmp/7jjua1321373721.ps tmp/7jjua1321373721.png",intern=TRUE))
character(0)
> try(system("convert tmp/893981321373721.ps tmp/893981321373721.png",intern=TRUE))
character(0)
> try(system("convert tmp/9kjit1321373721.ps tmp/9kjit1321373721.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.490   0.330   3.804