R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'license()' or 'licence()' for distribution details.

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> y <- c(23688100
+ ,13741000
+ ,14143500
+ ,16763800
+ ,16634600
+ ,13693300
+ ,10545800
+ ,9409900
+ ,39182200
+ ,37005800
+ ,15818500
+ ,16952000
+ ,24563400
+ ,14163200
+ ,18184800
+ ,20810300
+ ,12843000
+ ,13866700
+ ,15119200
+ ,8301600
+ ,14039600
+ ,12139700
+ ,9649000
+ ,8513600
+ ,15278600
+ ,15590900
+ ,9691100
+ ,10882700
+ ,10294800
+ ,16031900
+ ,13683600
+ ,8677200
+ ,9874100
+ ,10725500
+ ,8348400
+ ,8046200
+ ,10862300
+ ,8100300
+ ,7287500
+ ,14002500
+ ,19037900
+ ,10774600
+ ,8960600
+ ,7773300
+ ,9579700
+ ,11270700
+ ,9492800
+ ,9136800
+ ,14487600
+ ,10133200
+ ,18659700
+ ,15980700
+ ,9732100
+ ,14626300
+ ,16904000
+ ,13616700
+ ,13772900
+ ,28749200
+ ,31408300
+ ,26342800
+ ,48909500
+ ,41542400
+ ,24857200
+ ,34093700
+ ,22555200
+ ,19067500
+ ,19029100
+ ,15223200
+ ,21903700
+ ,33306600
+ ,23898100
+ ,23279600
+ ,40699800
+ ,37646000
+ ,37277000
+ ,39246800
+ ,27418400
+ ,30318700
+ ,32808100
+ ,28668200
+ ,32370300
+ ,24171100
+ ,25009100
+ ,32084300
+ ,50117500
+ ,27522200
+ ,26816800
+ ,25136100
+ ,30295600
+ ,41526100
+ ,43845100
+ ,39188900
+ ,40496400
+ ,37438400
+ ,46553700
+ ,31771400
+ ,62108100
+ ,46645400
+ ,42313100
+ ,38841700
+ ,32650300
+ ,34281100
+ ,33096200
+ ,23273800
+ ,43697600
+ ,66902300
+ ,44957200
+ ,33800900
+ ,33487900
+ ,27394900
+ ,25963400
+ ,20952600
+ ,17702900
+ ,21282100
+ ,18449100
+ ,14415700
+ ,17906300
+ ,22197500
+ ,15856500
+ ,19068700
+ ,30855100
+ ,21209000
+ ,19541600
+ ,21955000
+ ,33725900
+ ,28192800
+ ,27377000
+ ,16228100
+ ,21278900
+ ,21457400)
> x <- c(25.94,28.66,33.95,31.01,21.00,26.19,25.41,30.47,12.88,9.78,8.25,7.44,10.81,9.12,11.03,12.74,9.98,11.62,9.40,9.27,7.76,8.78,10.65,10.95,12.36,10.85,11.84,12.14,11.65,8.86,7.63,7.38,7.25,8.03,7.75,7.16,7.18,7.51,7.07,7.11,8.98,9.53,10.54,11.31,10.36,11.44,10.45,10.69,11.28,11.96,13.52,12.89,14.03,16.27,16.17,17.25,19.38,26.20,33.53,32.20,38.45,44.86,41.67,36.06,39.76,36.81,42.65,46.89,53.61,57.59,67.82,71.89,75.51,68.49,62.72,70.39,59.77,57.27,67.96,67.85,76.98,81.08,91.66,84.84,85.73,84.61,92.91,99.80,121.19,122.04,131.76,138.48,153.47,189.95,182.22,198.08,135.36,125.02,143.50,173.95,188.75,167.44,158.95,169.53,113.66,107.59,92.67,85.35,90.13,89.31,105.12,125.83,135.81,142.43,163.39,168.21,185.35,188.50,199.91,210.73,192.06,204.62,235.00,261.09,256.88,251.53,257.25,243.10,283.75,300.98)
> par1 = '0'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> 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 
-18263817  -8545769  -2935103   5894002  41441656 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 18290142    1376948  13.283  < 2e-16 ***
x              66646      12815   5.201 7.66e-07 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 11160000 on 128 degrees of freedom
Multiple R-squared: 0.1744,	Adjusted R-squared: 0.168 
F-statistic: 27.05 on 1 and 128 DF,  p-value: 7.658e-07 

> postscript(file="/var/www/html/rcomp/tmp/1fk891292073324.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/html/rcomp/tmp/28t8c1292073324.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 
-3.068e-08 -1.335e-09 -1.643e-10  8.042e-10  4.958e-08 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.829e+07  6.681e-10 2.737e+16   <2e-16 ***
x           6.665e+04  6.218e-12 1.072e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5.413e-09 on 128 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.149e+32 on 1 and 128 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/38t8c1292073324.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
      Min        1Q    Median        3Q       Max 
-18263817  -8545769  -2935103   5894002  41441656 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)
(Intercept) 1.657e-10  1.377e+06 1.20e-16        1
x           3.210e-12  1.282e+04 2.50e-16        1

Residual standard error: 11160000 on 128 degrees of freedom
Multiple R-squared: 3.312e-32,	Adjusted R-squared: -0.007812 
F-statistic: 4.239e-30 on 1 and 128 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4jlpx1292073324.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-4567498 -4282751 -2228871  3243810 15020588 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 2.333e+07  4.497e+05    51.87   <2e-16 ***
m$residuals 8.117e-17  4.063e-02 2.00e-15        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5128000 on 128 degrees of freedom
Multiple R-squared: 2.594e-30,	Adjusted R-squared: -0.007812 
F-statistic: 3.32e-28 on 1 and 128 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/html/rcomp/tmp/5tco01292073324.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 
-15291578  -4631141  -1553168   3225603  34722964 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept) -1.182e+05  7.228e+05  -0.164     0.87    
Residuals    6.858e-01  6.564e-02  10.448   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8209000 on 127 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.4622,	Adjusted R-squared: 0.458 
F-statistic: 109.2 on 1 and 127 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6435l1292073324.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7435l1292073324.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/8fun61292073324.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/9fun61292073324.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/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/html/rcomp/tmp/10bmke1292073324.tab") 
> 
> try(system("convert tmp/1fk891292073324.ps tmp/1fk891292073324.png",intern=TRUE))
character(0)
> try(system("convert tmp/28t8c1292073324.ps tmp/28t8c1292073324.png",intern=TRUE))
character(0)
> try(system("convert tmp/38t8c1292073324.ps tmp/38t8c1292073324.png",intern=TRUE))
character(0)
> try(system("convert tmp/4jlpx1292073324.ps tmp/4jlpx1292073324.png",intern=TRUE))
character(0)
> try(system("convert tmp/5tco01292073324.ps tmp/5tco01292073324.png",intern=TRUE))
character(0)
> try(system("convert tmp/6435l1292073324.ps tmp/6435l1292073324.png",intern=TRUE))
character(0)
> try(system("convert tmp/7435l1292073324.ps tmp/7435l1292073324.png",intern=TRUE))
character(0)
> try(system("convert tmp/8fun61292073324.ps tmp/8fun61292073324.png",intern=TRUE))
character(0)
> try(system("convert tmp/9fun61292073324.ps tmp/9fun61292073324.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.924   1.501   4.742