R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> y <- c(25,30,31,18,35,40,100,12,70,120,200,100,180,175,120,175,120,95,23,8,5,3,0,1,7,10,2,3,1,1,25,30,31,18,35,40,100,12,70,120,200,100,180,175,120,175,120,95,23,8,5,3,0,1,7,10,2,3,1,1)
> x <- c(11,13,14,12,22,26,28,12,21,30,33,35,29,26,24,28,25,19,13,6,2,-1,-12,-5,3,9,7,6,5,2,10,11,16,14,11,13,14,12,22,26,28,12,21,30,33,35,29,26,24,28,25,19,13,6,2,-1,-12,-5,3,9)
> 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 
-100.392  -22.398   -8.082   24.292   99.897 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  -4.7652     9.0953  -0.524    0.602    
x             4.0413     0.4729   8.546 7.49e-12 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 42.77 on 58 degrees of freedom
Multiple R-squared: 0.5574,	Adjusted R-squared: 0.5498 
F-statistic: 73.04 on 1 and 58 DF,  p-value: 7.488e-12 

> postscript(file="/var/wessaorg/rcomp/tmp/16waa1321359498.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/wessaorg/rcomp/tmp/2vhgv1321359498.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 
-1.269e-14 -4.535e-15 -1.905e-15  3.052e-15  6.771e-14 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept) -4.765e+00  2.268e-15 -2.101e+15   <2e-16 ***
x            4.041e+00  1.179e-16  3.427e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.067e-14 on 58 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.175e+33 on 1 and 58 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/32aq71321359498.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-100.392  -22.398   -8.082   24.292   99.897 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -2.676e-16  9.095e+00       0        1
x            5.071e-17  4.729e-01       0        1

Residual standard error: 42.77 on 58 degrees of freedom
Multiple R-squared: 4.155e-34,	Adjusted R-squared: -0.01724 
F-statistic: 2.41e-32 on 1 and 58 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/433ts1321359498.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-110.261  -34.486   -7.207   43.310   79.682 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 5.700e+01  6.197e+00   9.198 6.25e-13 ***
m$residuals 4.135e-18  1.474e-01   0.000        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 48 on 58 degrees of freedom
Multiple R-squared: 1.458e-31,	Adjusted R-squared: -0.01724 
F-statistic: 8.458e-30 on 1 and 58 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/wessaorg/rcomp/tmp/5900j1321359498.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 
-79.236 -16.625  -4.913  12.819  89.520 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) -0.06064    4.51142  -0.013    0.989    
Residuals    0.59684    0.10685   5.586 6.79e-07 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 34.65 on 57 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.3537,	Adjusted R-squared: 0.3424 
F-statistic:  31.2 on 1 and 57 DF,  p-value: 6.787e-07 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6wpfw1321359498.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7yro21321359498.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8btyh1321359498.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9p8sl1321359498.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/10p9hs1321359498.tab") 
> 
> try(system("convert tmp/16waa1321359498.ps tmp/16waa1321359498.png",intern=TRUE))
character(0)
> try(system("convert tmp/2vhgv1321359498.ps tmp/2vhgv1321359498.png",intern=TRUE))
character(0)
> try(system("convert tmp/32aq71321359498.ps tmp/32aq71321359498.png",intern=TRUE))
character(0)
> try(system("convert tmp/433ts1321359498.ps tmp/433ts1321359498.png",intern=TRUE))
character(0)
> try(system("convert tmp/5900j1321359498.ps tmp/5900j1321359498.png",intern=TRUE))
character(0)
> try(system("convert tmp/6wpfw1321359498.ps tmp/6wpfw1321359498.png",intern=TRUE))
character(0)
> try(system("convert tmp/7yro21321359498.ps tmp/7yro21321359498.png",intern=TRUE))
character(0)
> try(system("convert tmp/8btyh1321359498.ps tmp/8btyh1321359498.png",intern=TRUE))
character(0)
> try(system("convert tmp/9p8sl1321359498.ps tmp/9p8sl1321359498.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.404   0.378   2.799