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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> y <- c(-496.9,112.3,-85.1,2.2,358.6,-158.3,441.9,-488.9,239.2,-154.9,-235.7,139.1,-552,130.3,97.2,-217.1,-213.5,115.1,190.6,-141.7,34.9,-347.3,-862.5,56.9,-1248.1,175.4,-425.1,-602.2,-121.9,-316.4,101.4,-1080.8,-644,-533,-735.4,-578.2,-1369.7,-217.1,-242.6,221.1,167.8,541.2,186.5,-711.8,127.7,-464.2,239.1,417.7,-77,486.6,261.4,101.9,-97.1,821,994.7,-73.3)
> x <- c(-200.5,-256,-52.3,-29.1,200.6,788.5,629.1,-331.8,754.1,896.5,839.3,-284.9,516.8,264.8,426,679.4,396.9,676.4,154.2,-75.3,371.8,575.9,282.4,-1607.2,-199.4,-215.5,-608.5,-323.5,-225.9,-131.2,-204,-981.4,-285.7,-187.8,-806.4,-854.1,153.5,4.3,-135.5,-144.2,-269.1,-320.8,309.1,-323.4,-65.9,-270.6,-246,-1478.7,-777.6,-673,-17.4,-1094.6,-238.1,-504.2,-517.1,-498.8)
> 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 
-1246.72  -318.93    36.03   288.43  1110.72 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)  
(Intercept) -121.38596   64.21362  -1.890   0.0641 .
x             -0.01038    0.11597  -0.089   0.9290  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 469.8 on 54 degrees of freedom
Multiple R-squared: 0.0001482,	Adjusted R-squared: -0.01837 
F-statistic: 0.008006 on 1 and 54 DF,  p-value: 0.929 

> postscript(file="/var/www/html/rcomp/tmp/1q09c1290720027.ps",horizontal=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/209qw1290720027.ps",horizontal=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 
-2.152e-13 -2.270e-14 -9.631e-15  1.627e-14  1.923e-13 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept) -1.214e+02  8.359e-15 -1.452e+16   <2e-16 ***
x           -1.038e-02  1.510e-17 -6.873e+14   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 6.116e-14 on 54 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 4.724e+29 on 1 and 54 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/309qw1290720027.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-1246.72  -318.93    36.03   288.43  1110.72 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)
(Intercept) 5.673e-16  6.421e+01 8.83e-18        1
x           7.016e-17  1.160e-01 6.05e-16        1

Residual standard error: 469.8 on 54 degrees of freedom
Multiple R-squared: 5.854e-33,	Adjusted R-squared: -0.01852 
F-statistic: 3.161e-31 on 1 and 54 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4b07z1290720027.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-10.5101  -4.0008   0.8015   2.1487  15.4701 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)    
(Intercept) -1.202e+02  7.644e-01    -157.2   <2e-16 ***
m$residuals -4.303e-17  1.657e-03 -2.60e-14        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5.721 on 54 degrees of freedom
Multiple R-squared: 2.171e-29,	Adjusted R-squared: -0.01852 
F-statistic: 1.173e-27 on 1 and 54 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/5m9721290720027.ps",horizontal=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 
-1166.8  -288.7    83.1   296.4   925.9 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)    7.015     62.355   0.113    0.911
Residuals      0.192      0.134   1.434    0.158

Residual standard error: 462.4 on 53 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.03733,	Adjusted R-squared: 0.01916 
F-statistic: 2.055 on 1 and 53 DF,  p-value: 0.1576 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6wj6n1290720027.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7wj6n1290720027.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/8pa581290720027.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/9pa581290720027.ps",horizontal=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/10l2lh1290720027.tab") 
> 
> try(system("convert tmp/1q09c1290720027.ps tmp/1q09c1290720027.png",intern=TRUE))
character(0)
> try(system("convert tmp/209qw1290720027.ps tmp/209qw1290720027.png",intern=TRUE))
character(0)
> try(system("convert tmp/309qw1290720027.ps tmp/309qw1290720027.png",intern=TRUE))
character(0)
> try(system("convert tmp/4b07z1290720027.ps tmp/4b07z1290720027.png",intern=TRUE))
character(0)
> try(system("convert tmp/5m9721290720027.ps tmp/5m9721290720027.png",intern=TRUE))
character(0)
> try(system("convert tmp/6wj6n1290720027.ps tmp/6wj6n1290720027.png",intern=TRUE))
character(0)
> try(system("convert tmp/7wj6n1290720027.ps tmp/7wj6n1290720027.png",intern=TRUE))
character(0)
> try(system("convert tmp/8pa581290720027.ps tmp/8pa581290720027.png",intern=TRUE))
character(0)
> try(system("convert tmp/9pa581290720027.ps tmp/9pa581290720027.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.827   1.392   4.492