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)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> y <- c(78973,46146,46492,60656,21898,36555,74680,22807,61282,37981,41553,45081,38557,51641,30658,52924,79256,53462,68950,53639,67819,48333,28001,51665,39019,46221,65792,39858,19574,41829,78688,36781,44314,24874,56911,37048,48426,33388,26998,46502,41507,40001,33144,29501,43059,43249,29272,49821,98341,44372,42448,5950,64839,32551,30767,62046,71930,67328,67253,35373,85544,88087,30621,50580,49670,25456,69245,43787,53638,35683,38008,18801,44324,51408,53880,55708,63858,183643,35660,41664,29883,62047,33321,46553,56622,15430,49379,58215,38253,77786,21331,55292,30105,37651,59370,46216,73122,93927,55935,93308,74344,78094,25625,43750,28995,47336,57582,60875,165877,32984,61638,36367,1168,40530,21427,15024,39088,855,80455,14116,43915,76705,40112,41821,8773,52045,51491,53470,53211,63091,131634,41745,23656,51442,54574,35708,66627,39585,50029,25266,34860,62759,62307,37238,42452,59820,75075,97567,0,6023,0,0,0,0,42420,31116,0,0,1644,6179,3926,23238,0,38818)
> x <- c(104,71,55,87,40,32,85,5,43,49,73,58,34,100,55,95,91,53,99,101,73,74,23,92,90,64,87,77,39,57,60,66,73,14,107,56,70,58,34,69,61,64,45,34,36,47,21,68,94,63,80,7,86,21,31,85,62,127,111,25,87,116,44,51,49,54,71,59,83,50,58,21,52,71,94,87,76,44,66,56,36,81,28,93,59,27,66,53,41,90,41,105,43,60,72,58,95,108,74,142,45,97,22,49,56,92,64,86,41,49,62,74,11,70,30,46,93,4,72,39,70,46,13,46,16,48,86,82,87,105,124,62,25,72,111,6,70,41,76,57,19,69,103,16,71,34,74,131,0,5,0,0,0,0,80,93,0,0,6,13,3,18,0,33)
> 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 
-34047 -12991  -3520   7025 145653 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 13589.45    3375.69   4.026  8.7e-05 ***
x             554.56      50.93  10.889  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 20620 on 162 degrees of freedom
Multiple R-squared: 0.4226,	Adjusted R-squared: 0.4191 
F-statistic: 118.6 on 1 and 162 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/rcomp/tmp/1awfb1321300415.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/2g3vd1321300415.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 
-7.484e-11 -1.639e-12  3.990e-13  2.483e-12  1.476e-11 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.359e+04  1.140e-12 1.192e+16   <2e-16 ***
x           5.546e+02  1.720e-14 3.225e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 6.961e-12 on 162 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.04e+33 on 1 and 162 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3ta1o1321300415.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
   Min     1Q Median     3Q    Max 
-34047 -12991  -3520   7025 145653 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  1.378e-13  3.376e+03       0        1
x           -3.211e-15  5.093e+01       0        1

Residual standard error: 20620 on 162 degrees of freedom
Multiple R-squared: 2.455e-35,	Adjusted R-squared: -0.006173 
F-statistic: 3.977e-33 on 1 and 162 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/489hg1321300415.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
   Min     1Q Median     3Q    Max 
-32310 -12346    409  12748  46437 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  4.590e+04  1.377e+03   33.33   <2e-16 ***
m$residuals -2.865e-18  6.722e-02    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 17640 on 162 degrees of freedom
Multiple R-squared: 1.092e-31,	Adjusted R-squared: -0.006173 
F-statistic: 1.77e-29 on 1 and 162 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/5pq3o1321300415.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 
-33540 -12701  -3536   7069 145458 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  -46.03661 1618.37437  -0.028    0.977
Residuals      0.02968    0.07877   0.377    0.707

Residual standard error: 20660 on 161 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.0008808,	Adjusted R-squared: -0.005325 
F-statistic: 0.1419 on 1 and 161 DF,  p-value: 0.7069 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6k3op1321300415.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/79ini1321300415.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8ra711321300415.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/96mcn1321300415.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/10q80j1321300415.tab") 
> 
> try(system("convert tmp/1awfb1321300415.ps tmp/1awfb1321300415.png",intern=TRUE))
character(0)
> try(system("convert tmp/2g3vd1321300415.ps tmp/2g3vd1321300415.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ta1o1321300415.ps tmp/3ta1o1321300415.png",intern=TRUE))
character(0)
> try(system("convert tmp/489hg1321300415.ps tmp/489hg1321300415.png",intern=TRUE))
character(0)
> try(system("convert tmp/5pq3o1321300415.ps tmp/5pq3o1321300415.png",intern=TRUE))
character(0)
> try(system("convert tmp/6k3op1321300415.ps tmp/6k3op1321300415.png",intern=TRUE))
character(0)
> try(system("convert tmp/79ini1321300415.ps tmp/79ini1321300415.png",intern=TRUE))
character(0)
> try(system("convert tmp/8ra711321300415.ps tmp/8ra711321300415.png",intern=TRUE))
character(0)
> try(system("convert tmp/96mcn1321300415.ps tmp/96mcn1321300415.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.216   0.572   3.779