R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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(406.9,227.6,236.4,241.4,224.3,211.1,270.8,219.1,225.9,237.6,199.1,175.9,418.8,216.2,211.6,264.8,178.8,186.7,236.2,210.1,206.2,204.8,178.1,170.3,393.0,209.3,213.4,203.6,170.0,183.0,234.4,247.4,189.3,197.4,157.5,157.6,352.3,198.6,201.2,200.6,167.3,172.1,223.4,183.2,175.1,204.1,153.3,149.0,328.6,198.2,177.3,200.0,168.8,150.2,205.8,169.1,179.8,188.1,151.8,139.2,304.2,178.9,161.9,185.1,144.8,138.0,190.4,165.0,161.9,186.7,148.8,131.9,305.1,169.1,162.1,181.1,156.6,149.8,194.0,160.0,183.5,207.7,151.6,138.5,282.2,184.2,178.2,198.7,162.0,171.5,230.4,177.2,191.6,227.4,174.8,152.5,330.9,207.4,198.6,220.6,162.0,175.5,196.5,210.0,174.6,193.4,159.6,156.7,323.2,212.0,195.0,202.1,166.9,162.0,213.8,178.4,173.0,193.3,153.4,139.0)
> x <- c(2.00,2.00,2.00,2.00,2.00,2.00,2.00,2.00,2.00,2.00,2.00,2.00,2.00,2.00,2.03,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.25,2.38,2.50,2.50,2.50,2.50,2.50,2.50,2.50,2.50,2.50,2.74,3.00,3.00,3.00,3.00,3.00,3.00,3.00,3.47,3.50,3.50,3.50,3.50,3.50,3.50,3.50,3.50,3.50,3.50,3.50,3.50,3.50,3.50,3.63,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,4.00,3.75,3.75,3.75)
> 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 
-61.06 -30.53  -9.36  11.79 195.24 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  263.564     18.729  14.073  < 2e-16 ***
x            -20.002      5.737  -3.486 0.000688 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 50.88 on 118 degrees of freedom
Multiple R-squared: 0.09339,	Adjusted R-squared: 0.0857 
F-statistic: 12.15 on 1 and 118 DF,  p-value: 0.0006885 

> postscript(file="/var/www/rcomp/tmp/1ir731290800621.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/rcomp/tmp/2ir731290800621.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 
-2.365e-14 -7.316e-16 -7.316e-16  9.047e-15  2.154e-14 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept)  2.636e+02  3.291e-15  8.009e+16   <2e-16 ***
x           -2.000e+01  1.008e-15 -1.984e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8.941e-15 on 118 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.937e+32 on 1 and 118 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3sioo1290800621.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
   Min     1Q Median     3Q    Max 
-61.06 -30.53  -9.36  11.79 195.24 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept)  8.297e-16  1.873e+01  4.43e-17        1
x           -4.226e-16  5.737e+00 -7.37e-17        1

Residual standard error: 50.88 on 118 degrees of freedom
Multiple R-squared: 5.616e-34,	Adjusted R-squared: -0.008475 
F-statistic: 6.626e-32 on 1 and 118 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4l9o91290800621.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
   Min     1Q Median     3Q    Max 
-16.75 -16.75  -6.75  18.25  23.25 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)    
(Intercept)  2.003e+02  1.491e+00     134.4   <2e-16 ***
m$residuals -6.968e-18  2.955e-02 -2.36e-16        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 16.33 on 118 degrees of freedom
Multiple R-squared: 1.242e-29,	Adjusted R-squared: -0.008475 
F-statistic: 1.466e-27 on 1 and 118 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/5j3c01290800621.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 
-65.04 -28.10  -8.25  13.90 192.38 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.50258    4.39619  -0.342    0.733
Residuals   -0.09146    0.08712  -1.050    0.296

Residual standard error: 47.96 on 117 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.009333,	Adjusted R-squared: 0.0008653 
F-statistic: 1.102 on 1 and 117 DF,  p-value: 0.2959 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6cdbl1290800621.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7cdbl1290800621.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8cdbl1290800621.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/94mto1290800621.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/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/10vt1r1290800621.tab") 
> 
> try(system("convert tmp/1ir731290800621.ps tmp/1ir731290800621.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ir731290800621.ps tmp/2ir731290800621.png",intern=TRUE))
character(0)
> try(system("convert tmp/3sioo1290800621.ps tmp/3sioo1290800621.png",intern=TRUE))
character(0)
> try(system("convert tmp/4l9o91290800621.ps tmp/4l9o91290800621.png",intern=TRUE))
character(0)
> try(system("convert tmp/5j3c01290800621.ps tmp/5j3c01290800621.png",intern=TRUE))
character(0)
> try(system("convert tmp/6cdbl1290800621.ps tmp/6cdbl1290800621.png",intern=TRUE))
character(0)
> try(system("convert tmp/7cdbl1290800621.ps tmp/7cdbl1290800621.png",intern=TRUE))
character(0)
> try(system("convert tmp/8cdbl1290800621.ps tmp/8cdbl1290800621.png",intern=TRUE))
character(0)
> try(system("convert tmp/94mto1290800621.ps tmp/94mto1290800621.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.800   0.900   3.643