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)

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> y <- c(80,111,122,131,192,188,216,238,173,160,93,67,60,32,126,131,134,162,230,232,200,143,85,66,54,81,100,126,204,218,227,220,220,120,110,67,81,52,106,156,187,204,204,196,204,124,53,77,77,50,105,125,165,194,263,225,263,140,127,86,71,95,95,133,178,160,250,251,250,173,103,21,29,39,71,148,144,199,206,224,206,152,88,35,23,92,117,120,173,202,217,256,217,143,95,77,76,100,108,132,195,198,204,212,204,129,73,77,80,64,109,138,185,198,237,223,237,146,102,77,70,86,98,141,195,205,191,226,191,147,100,74,56,77,80,120,186,196,229,229,229,176,104,61,72,99,113,140,174,209,205,229,215,136,113,57,55,66,125,149,176,230,238,245,238,124,111,72,63,78,100,149,166,201,214,231,214,151,97,68,81,55,99,146,170,218,218,207,218,178,105,67,47,55,73,124,185,213,278,205,278,171,125,92,96,92,118,185,183,215,207,214,207,142,102,66,87,90,90,133,205,201,220,210,220,136,95,52,40,60,100,169,184,202,226,239,226,149,121,50)
> x <- c(61,81,87,87,136,147,168,185,137,125,64,45,35,-4,88,85,95,128,186,182,151,106,60,44,30,54,72,88,153,168,181,180,149,84,85,42,54,30,96,110,141,159,164,155,135,93,28,56,56,22,76,83,121,151,208,179,139,99,103,57,44,70,58,91,126,146,199,194,145,131,74,-3,7,10,34,94,105,151,162,175,128,115,62,11,-7,64,80,77,127,158,173,206,147,103,73,52,52,68,77,94,147,160,166,167,155,104,44,53,56,36,76,99,142,150,190,176,175,112,73,52,48,61,68,97,146,160,155,175,163,117,82,55,32,48,53,82,139,150,184,185,138,147,77,32,48,72,76,94,133,164,174,187,149,102,86,35,31,28,75,102,133,178,190,190,147,83,83,46,40,50,61,102,117,158,170,190,155,117,68,40,56,28,66,103,122,166,176,164,160,139,75,44,22,32,42,86,140,163,222,166,183,140,98,69,75,63,81,126,139,171,170,173,144,105,75,41,68,53,61,87,155,159,180,175,138,105,73,26,12,35,64,115,138,138,182,191,155,113,98,29)
> 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 
-31.861  -6.002  -2.068   2.659  79.365 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  20.2933     1.7593   11.54   <2e-16 ***
x             1.1751     0.0148   79.38   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 12.15 on 238 degrees of freedom
Multiple R-squared: 0.9636,	Adjusted R-squared: 0.9635 
F-statistic:  6301 on 1 and 238 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/rcomp/tmp/1zvyf1321548082.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/2ujdu1321548082.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 
-1.199e-13 -3.903e-15  9.330e-16  5.858e-15  4.042e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.029e+01  1.630e-15 1.245e+16   <2e-16 ***
x           1.175e+00  1.371e-17 8.568e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.126e-14 on 238 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 7.342e+33 on 1 and 238 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3yfkl1321548082.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-31.861  -6.002  -2.068   2.659  79.365 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.662e-16  1.759e+00       0        1
x            2.858e-19  1.480e-02       0        1

Residual standard error: 12.15 on 238 degrees of freedom
Multiple R-squared: 2.466e-34,	Adjusted R-squared: -0.004202 
F-statistic: 5.87e-32 on 1 and 238 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4e6em1321548082.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-133.224  -52.435   -5.136   55.382  135.878 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  1.453e+02  4.037e+00   35.99   <2e-16 ***
m$residuals -6.353e-17  3.335e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 62.53 on 238 degrees of freedom
Multiple R-squared: 1.415e-31,	Adjusted R-squared: -0.004202 
F-statistic: 3.367e-29 on 1 and 238 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/57jy71321548082.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 
-31.635  -6.165  -2.172   2.742  79.153 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)  0.05063    0.78586   0.064    0.949
Residuals   -0.02869    0.06481  -0.443    0.658

Residual standard error: 12.15 on 237 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.0008258,	Adjusted R-squared: -0.00339 
F-statistic: 0.1959 on 1 and 237 DF,  p-value: 0.6585 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/622hb1321548082.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7gmjf1321548082.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8oc0n1321548082.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/97y321321548082.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/10igwg1321548082.tab") 
> 
> try(system("convert tmp/1zvyf1321548082.ps tmp/1zvyf1321548082.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ujdu1321548082.ps tmp/2ujdu1321548082.png",intern=TRUE))
character(0)
> try(system("convert tmp/3yfkl1321548082.ps tmp/3yfkl1321548082.png",intern=TRUE))
character(0)
> try(system("convert tmp/4e6em1321548082.ps tmp/4e6em1321548082.png",intern=TRUE))
character(0)
> try(system("convert tmp/57jy71321548082.ps tmp/57jy71321548082.png",intern=TRUE))
character(0)
> try(system("convert tmp/622hb1321548082.ps tmp/622hb1321548082.png",intern=TRUE))
character(0)
> try(system("convert tmp/7gmjf1321548082.ps tmp/7gmjf1321548082.png",intern=TRUE))
character(0)
> try(system("convert tmp/8oc0n1321548082.ps tmp/8oc0n1321548082.png",intern=TRUE))
character(0)
> try(system("convert tmp/97y321321548082.ps tmp/97y321321548082.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.020   0.536   3.804