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

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> y <- c(204.2,196.6,198.8,207.5,190.7,201.6,210.5,223.5,223.8,231.2,244,234.7,250.2,265.7,287.6,283.3,295.4,312.3,333.8,347.7,383.2,407.1,413.6,362.7,321.9,239.4,191,159.7,163.4,157.6,166.2,176.7,198.3,226.2,216.2,235.9,226.9,242.3,253.1,250,259.4,250.1,262.6,284.2,261.7,258.4,263.2,268.1,271.8,286.9)
> x <- c(180.9,187,189.9,193.8,194.5,198.7,204.7,213.2,214.7,211,213.2,206.2,210.8,216.2,213.3,213.1,238.5,253,262.7,263.2,263.2,267.9,268,248.4,230.8,190.6,173.5,164.7,161.6,157.6,158.4,167,176.8,184.4,183.6,197,195.4,201.7,207.6,215.3,218.6,210.6,216.5,243.7,233.2,230.4,246.6,256.1,264.8,271.5)
> 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 
-65.582 -15.630   0.931  11.002  70.874 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) -104.8195    27.7326   -3.78 0.000434 ***
x              1.6699     0.1284   13.01  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 28.81 on 48 degrees of freedom
Multiple R-squared: 0.779,	Adjusted R-squared: 0.7744 
F-statistic: 169.2 on 1 and 48 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/rcomp/tmp/1ssla1290682127.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/2ssla1290682127.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 
-9.923e-14 -9.770e-15  9.554e-16  1.241e-14  3.846e-14 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept) -1.048e+02  1.985e-14 -5.281e+15   <2e-16 ***
x            1.670e+00  9.189e-17  1.817e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2.062e-14 on 48 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.303e+32 on 1 and 48 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3kkkd1290682127.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-65.582 -15.630   0.931  11.002  70.874 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept)  1.112e-15  2.773e+01  4.01e-17        1
x           -6.590e-18  1.284e-01 -5.13e-17        1

Residual standard error: 28.81 on 48 degrees of freedom
Multiple R-squared: 1.396e-34,	Adjusted R-squared: -0.02083 
F-statistic: 6.701e-33 on 1 and 48 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4dtjy1290682127.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-93.654 -37.210  -2.725  39.232  96.553 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)    
(Intercept)  2.520e+02  7.649e+00     32.95   <2e-16 ***
m$residuals -1.189e-16  2.710e-01 -4.39e-16        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 54.09 on 48 degrees of freedom
Multiple R-squared: 3.451e-32,	Adjusted R-squared: -0.02083 
F-statistic: 1.657e-30 on 1 and 48 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/562011290682127.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 
-27.134  -7.050   1.385   6.714  37.575 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) -1.32754    1.84819  -0.718    0.476    
Residuals    0.94247    0.06815  13.828   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 12.92 on 47 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.8027,	Adjusted R-squared: 0.7985 
F-statistic: 191.2 on 1 and 47 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/662011290682127.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7gb041290682127.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8gb041290682127.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9gb041290682127.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/10nuxf1290682127.tab") 
> 
> try(system("convert tmp/1ssla1290682127.ps tmp/1ssla1290682127.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ssla1290682127.ps tmp/2ssla1290682127.png",intern=TRUE))
character(0)
> try(system("convert tmp/3kkkd1290682127.ps tmp/3kkkd1290682127.png",intern=TRUE))
character(0)
> try(system("convert tmp/4dtjy1290682127.ps tmp/4dtjy1290682127.png",intern=TRUE))
character(0)
> try(system("convert tmp/562011290682127.ps tmp/562011290682127.png",intern=TRUE))
character(0)
> try(system("convert tmp/662011290682127.ps tmp/662011290682127.png",intern=TRUE))
character(0)
> try(system("convert tmp/7gb041290682127.ps tmp/7gb041290682127.png",intern=TRUE))
character(0)
> try(system("convert tmp/8gb041290682127.ps tmp/8gb041290682127.png",intern=TRUE))
character(0)
> try(system("convert tmp/9gb041290682127.ps tmp/9gb041290682127.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   2.82    1.55    4.34