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)

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(17298,9858,8467,20510,5114,7721,23654,1271,13872,11235,12777,10681,5603,10843,6589,16859,14431,8857,15750,6978,25068,12029,3960,11590,15216,15173,12205,14522,6008,7005,27658,6268,12588,1308,20414,3963,14294,10474,11082,17263,12043,10149,13551,6083,4922,8065,6773,12649,12030,12688,12485,2694,11347,3597,5011,17745,12888,20771,23195,7483,17441,27499,7763,10506,17544,9863,11786,14626,11114,9482,9432,2970,10957,10467,11882,14093,16933,7947,9348,7854,8475,15615,8312,9400,7905,4525,16732,10784,15550,19591,5537,11778,4695,8911,15746,11288,17295,18560,15476,26914,16766,14341,5373,7409,10791,21000,23021,15492,11181,6006,14271,9346,238,13240,3879,4397,11417,338,7941,3988,13508,11025,1819,5531,1888,12343,16321,14263,19165,9157,25740,12142,4565,12694,13172,304,20477,7945,17712,6397,303,11306,16379,2805,15448,9031,15706,19234,0,2065,0,0,0,0,10853,8571,0,0,556,2089,2658,1419,0,7521)
> x <- c(93809,75589,61071,64672,39014,32213,131696,6853,43253,57555,85473,44501,42453,67285,57056,94982,89324,60461,64491,60717,83022,91708,28378,59360,54436,70629,95409,68631,42319,91440,100462,41411,94894,16617,114686,64881,106679,54866,45988,82618,79199,46657,71070,29970,42948,61186,47824,62913,101444,61145,58388,15049,81451,25109,44688,77378,80180,96279,115202,31648,119420,121683,46568,57903,71075,63394,58118,62099,63739,35768,53318,22330,57871,52090,50767,68496,101760,58441,38972,43530,38996,98432,49867,56434,55792,25155,43461,65474,82234,49606,47992,63723,39066,54501,69924,58204,80248,106887,82830,125642,62525,93166,30028,19630,56584,63525,68879,80800,56474,25551,77587,60521,5841,54108,24587,23872,116211,6622,83478,13155,87473,43580,10439,33067,13983,52276,81079,63507,106262,92878,120184,63110,29996,55746,105611,6783,69866,39663,93382,42310,1472,83141,70434,10901,66220,25867,71760,94809,0,7953,0,0,0,0,63404,89657,0,0,4245,21509,7670,10641,0,31359)
> 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 
-9456.8 -1745.3  -490.4  1694.7 10401.6 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 8.886e+02  5.661e+02    1.57    0.118    
x           1.703e-01  8.705e-03   19.57   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 3491 on 162 degrees of freedom
Multiple R-squared: 0.7026,	Adjusted R-squared: 0.7008 
F-statistic: 382.8 on 1 and 162 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/rcomp/tmp/1a0lw1321299776.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/2vy4r1321299776.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 
-5.676e-12 -5.255e-13  2.510e-14  4.734e-13  2.426e-12 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 8.886e+02  1.429e-13 6.218e+15   <2e-16 ***
x           1.703e-01  2.197e-18 7.751e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8.812e-13 on 162 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 6.007e+33 on 1 and 162 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3s0ab1321299776.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-9456.8 -1745.3  -490.4  1694.7 10401.6 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -6.845e-14  5.661e+02       0        1
x            1.806e-18  8.705e-03       0        1

Residual standard error: 3491 on 162 degrees of freedom
Multiple R-squared: 2.547e-33,	Adjusted R-squared: -0.006173 
F-statistic: 4.126e-31 on 1 and 162 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4hn8o1321299776.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-9707.5 -3206.6   197.9  3950.9 12721.7 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 1.060e+04  4.190e+02   25.29   <2e-16 ***
m$residuals 1.694e-18  1.208e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5366 on 162 degrees of freedom
Multiple R-squared: 9.079e-32,	Adjusted R-squared: -0.006173 
F-statistic: 1.471e-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/558ly1321299776.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 
-9606.8 -1824.8  -350.4  1735.8 11086.8 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept)  -3.23624  273.52493  -0.012    0.991
Residuals    -0.07339    0.07863  -0.933    0.352

Residual standard error: 3492 on 161 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.005383,	Adjusted R-squared: -0.0007951 
F-statistic: 0.8713 on 1 and 161 DF,  p-value: 0.352 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6s5by1321299776.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/75qui1321299776.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8y2y91321299776.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/92k5x1321299776.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/10jaob1321299776.tab") 
> 
> try(system("convert tmp/1a0lw1321299776.ps tmp/1a0lw1321299776.png",intern=TRUE))
character(0)
> try(system("convert tmp/2vy4r1321299776.ps tmp/2vy4r1321299776.png",intern=TRUE))
character(0)
> try(system("convert tmp/3s0ab1321299776.ps tmp/3s0ab1321299776.png",intern=TRUE))
character(0)
> try(system("convert tmp/4hn8o1321299776.ps tmp/4hn8o1321299776.png",intern=TRUE))
character(0)
> try(system("convert tmp/558ly1321299776.ps tmp/558ly1321299776.png",intern=TRUE))
character(0)
> try(system("convert tmp/6s5by1321299776.ps tmp/6s5by1321299776.png",intern=TRUE))
character(0)
> try(system("convert tmp/75qui1321299776.ps tmp/75qui1321299776.png",intern=TRUE))
character(0)
> try(system("convert tmp/8y2y91321299776.ps tmp/8y2y91321299776.png",intern=TRUE))
character(0)
> try(system("convert tmp/92k5x1321299776.ps tmp/92k5x1321299776.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   3.61    0.25    3.86