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(616.38,614.62,618,621.38,642.62,658.12,639,635.38,634.62,624.38,626.12,629.25,647.62,646.12,642.62,621.38,635.38,642.38,633.75,630.62,630.88,617,629.62,624.88,621.38,623.88,621.75,623.88,657.5,614.62,612.12,608.88,615.12,626.38,611.12,615.88,612.38,606,658.5,632.75,652.38,654.5,646.12,642.62,637.62,662.12,673.12,676.62,688.5,693.38,697.75,704,703.88,731.62,728,729.12,738.12,753.5,763.62,765.62,775.88,765.12,788.12,785.88,789.75,770.62,762,754.38,746.62,755,737.62,732.12,731.75,706.12,725.5,725.62,710.38,711.12,703.62,703.12,684.5,682.88,651.88,673.62,677.75,673,704.88,715.38,681,674.88,672.88,697.38,699.88,692.12,687.62,683.62,693.38,680.75,687.38,700.62,693.62,681.38,695.38,707.88,716,667.5,638.12,647.38,650,635.25,624.12,635.25,625.62,611.62)
> x <- c(637.12,633.12,639.38,646.62,655.88,662.88,652.88,654.88,651.88,643.5,651,645.88,655.12,655.38,651.12,639.38,648.38,649.62,650.25,649.38,649.62,635.12,646.38,637.12,641.12,639.62,638.12,641.25,649.38,607.38,603.38,602.38,603.12,606.88,595.88,588.12,586.25,592.38,635.5,625.75,646.25,653.25,644.88,640.38,652.25,680.12,687.25,697,690.75,695.62,703.88,721.62,725.25,747.38,736.5,736.62,736.25,750.5,757.12,749.62,760.62,744.75,765.88,771.5,764.62,758.88,754.12,731.88,730.25,728.62,724.75,712.5,711.38,698,709.5,713.62,706,708.62,701.62,706.62,678.75,686.5,669.75,686.38,693.12,687.5,701.75,711.25,682.5,668.62,666.75,683.75,687.12,688,677.12,679.25,690.38,682.38,681.75,705.25,703.62,687.75,703.62,689,684.88,664.88,642.75,643.62,642.88,627.38,617.12,626.38,620.38,606.5)
> 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 
-23.98 -13.12   1.35  10.51  33.01 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) -38.9800    19.8149  -1.967   0.0516 .  
x             1.0574     0.0293  36.085   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 13.92 on 112 degrees of freedom
Multiple R-squared: 0.9208,	Adjusted R-squared: 0.9201 
F-statistic:  1302 on 1 and 112 DF,  p-value: < 2.2e-16 

> postscript(file="/var/wessaorg/rcomp/tmp/1qb081321370786.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/246jq1321370786.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 
-3.011e-13 -2.481e-14  4.948e-15  2.942e-14  5.811e-14 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)    
(Intercept) -3.898e+01  6.217e-14 -6.27e+14   <2e-16 ***
x            1.057e+00  9.193e-17  1.15e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 4.366e-14 on 112 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.323e+32 on 1 and 112 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3lsmg1321370786.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
   Min     1Q Median     3Q    Max 
-23.98 -13.12   1.35  10.51  33.01 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -4.518e-15  1.981e+01       0        1
x            6.251e-18  2.930e-02       0        1

Residual standard error: 13.92 on 112 degrees of freedom
Multiple R-squared: 1.413e-33,	Adjusted R-squared: -0.008929 
F-statistic: 1.582e-31 on 1 and 112 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4unx11321370786.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-93.592 -33.550  -1.407  31.871 102.283 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 6.745e+02  4.444e+00   151.8   <2e-16 ***
m$residuals 1.727e-16  3.222e-01     0.0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 47.45 on 112 degrees of freedom
Multiple R-squared: 2.05e-31,	Adjusted R-squared: -0.008929 
F-statistic: 2.296e-29 on 1 and 112 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/5sn2c1321370786.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 
-21.7998  -5.2183  -0.3815   3.9696  25.9257 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   0.2289     0.7522   0.304    0.761    
Residuals     0.8124     0.0544  14.935   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 7.995 on 111 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.6677,	Adjusted R-squared: 0.6647 
F-statistic: 223.1 on 1 and 111 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6dsa11321370786.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7a99w1321370786.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/89cf01321370786.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9of8s1321370786.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/10msj71321370786.tab") 
> 
> try(system("convert tmp/1qb081321370786.ps tmp/1qb081321370786.png",intern=TRUE))
character(0)
> try(system("convert tmp/246jq1321370786.ps tmp/246jq1321370786.png",intern=TRUE))
character(0)
> try(system("convert tmp/3lsmg1321370786.ps tmp/3lsmg1321370786.png",intern=TRUE))
character(0)
> try(system("convert tmp/4unx11321370786.ps tmp/4unx11321370786.png",intern=TRUE))
character(0)
> try(system("convert tmp/5sn2c1321370786.ps tmp/5sn2c1321370786.png",intern=TRUE))
character(0)
> try(system("convert tmp/6dsa11321370786.ps tmp/6dsa11321370786.png",intern=TRUE))
character(0)
> try(system("convert tmp/7a99w1321370786.ps tmp/7a99w1321370786.png",intern=TRUE))
character(0)
> try(system("convert tmp/89cf01321370786.ps tmp/89cf01321370786.png",intern=TRUE))
character(0)
> try(system("convert tmp/9of8s1321370786.ps tmp/9of8s1321370786.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.475   0.436   2.962