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(255,280.2,299.9,339.2,374.2,393.5,389.2,381.7,375.2,369,357.4,352.1,346.5,342.9,340.3,328.3,322.9,314.3,308.9,294,285.6,281.2,280.3,278.8,274.5,270.4,263.4,259.9,258,262.7,284.7,311.3,322.1,327,331.3,333.3,321.4,327,320,314.7,316.7,314.4,321.3,318.2,307.2,301.3,287.5,277.7,274.4)
> x <- c(87.28,87.28,87.09,86.92,87.59,90.72,90.69,90.3,89.55,88.94,88.41,87.82,87.07,86.82,86.4,86.02,85.66,85.32,85,84.67,83.94,82.83,81.95,81.19,80.48,78.86,69.47,68.77,70.06,73.95,75.8,77.79,81.57,83.07,84.34,85.1,85.25,84.26,83.63,86.44,85.3,84.1,83.36,82.48,81.58,80.47,79.34,82.13,81.69)
> 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 
-79.443 -15.289   4.911  14.867  40.816 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) -128.3629    58.2459  -2.204   0.0325 *  
x              5.3025     0.6967   7.610 9.77e-10 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 24.68 on 47 degrees of freedom
Multiple R-squared: 0.552,	Adjusted R-squared: 0.5425 
F-statistic: 57.92 on 1 and 47 DF,  p-value: 9.77e-10 

> postscript(file="/var/www/html/rcomp/tmp/1fwy91290627442.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/285xc1290627442.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 
-3.698e-14 -1.564e-14  2.650e-15  1.118e-14  2.924e-14 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept) -1.284e+02  4.018e-14 -3.194e+15   <2e-16 ***
x            5.303e+00  4.807e-16  1.103e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.703e-14 on 47 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.217e+32 on 1 and 47 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/30xfx1290627442.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-79.443 -15.289   4.911  14.867  40.816 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept)  3.144e-14  5.825e+01  5.40e-16        1
x           -4.012e-16  6.967e-01 -5.76e-16        1

Residual standard error: 24.68 on 47 degrees of freedom
Multiple R-squared: 3.989e-32,	Adjusted R-squared: -0.02128 
F-statistic: 1.875e-30 on 1 and 47 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/40xfx1290627442.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-77.809  -9.883   4.752  18.432  38.582 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)    
(Intercept)  3.141e+02  3.914e+00     80.25   <2e-16 ***
m$residuals -8.398e-17  1.619e-01 -5.19e-16        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 27.4 on 47 degrees of freedom
Multiple R-squared: 1.831e-31,	Adjusted R-squared: -0.02128 
F-statistic: 8.608e-30 on 1 and 47 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/5bow01290627442.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 
-26.9962  -7.3939  -0.1038   4.0330  36.7186 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  1.18141    1.74315   0.678    0.501    
Residuals    0.74784    0.07255  10.308 1.54e-13 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 12.07 on 46 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.6979,	Adjusted R-squared: 0.6913 
F-statistic: 106.2 on 1 and 46 DF,  p-value: 1.539e-13 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6mxd31290627442.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7mxd31290627442.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/8woco1290627442.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/9woco1290627442.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/10sgsx1290627442.tab") 
> 
> try(system("convert tmp/1fwy91290627442.ps tmp/1fwy91290627442.png",intern=TRUE))
character(0)
> try(system("convert tmp/285xc1290627442.ps tmp/285xc1290627442.png",intern=TRUE))
character(0)
> try(system("convert tmp/30xfx1290627442.ps tmp/30xfx1290627442.png",intern=TRUE))
character(0)
> try(system("convert tmp/40xfx1290627442.ps tmp/40xfx1290627442.png",intern=TRUE))
character(0)
> try(system("convert tmp/5bow01290627442.ps tmp/5bow01290627442.png",intern=TRUE))
character(0)
> try(system("convert tmp/6mxd31290627442.ps tmp/6mxd31290627442.png",intern=TRUE))
character(0)
> try(system("convert tmp/7mxd31290627442.ps tmp/7mxd31290627442.png",intern=TRUE))
character(0)
> try(system("convert tmp/8woco1290627442.ps tmp/8woco1290627442.png",intern=TRUE))
character(0)
> try(system("convert tmp/9woco1290627442.ps tmp/9woco1290627442.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.844   1.384   4.219