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(7,5,5,5,5,6,4,5,7,5,2,5,5,6,6,5,3,6,5,5,3,5,1,5,4,6,6,4,4,5,4,5,6,3,5,5,3,5,7,6,4,5,5,6,7,3,4,6,5,2,4,4,5,4,6,2,4,6,4,5,6,4,6,6,5,6,6,4,6,3,5,5,5,6,6,4,4,5,6,3,6,2,5,3,4,6,5,4,5,5,4,7,4,6,4,4,6,3,4,7,5,5,6,5,5,4,5,6,5,5,4,4,5,5,6,5,3,5,3,4,4,5,2,5,7,6,6,5,4,6,3,7,3,4,6,5,6,4,6,6,4,5,3,6,5,6,5,6,5,6,5,5,6,5,6,5,4,4,4,5,4,5)
> x <- c(7,5,6,4,5,6,7,6,6,6,5,5,4,6,6,5,3,7,3,5,3,5,2,6,3,6,6,5,5,7,6,5,5,4,4,6,5,5,7,5,5,6,5,6,7,5,5,5,6,2,4,4,6,3,6,6,5,6,1,5,7,4,5,6,4,6,6,5,5,3,5,6,5,6,6,4,4,6,7,4,5,6,6,5,3,7,6,4,4,5,3,7,6,6,4,5,6,5,6,6,4,5,6,5,5,4,4,6,5,6,5,6,5,4,6,4,5,5,6,3,5,4,5,5,7,5,7,5,4,6,4,4,4,4,6,6,5,3,6,5,4,5,2,5,7,4,4,7,6,5,5,5,7,6,6,5,2,4,6,5,5,5)
> 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 
-3.3321 -0.3321  0.2035  0.6679  2.7390 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  2.11869    0.34167   6.201 4.59e-09 ***
x            0.53557    0.06549   8.178 8.42e-14 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.9888 on 160 degrees of freedom
Multiple R-squared: 0.2948,	Adjusted R-squared: 0.2904 
F-statistic: 66.87 on 1 and 160 DF,  p-value: 8.419e-14 

> postscript(file="/var/www/html/rcomp/tmp/1y30u1289745231.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/2qc0f1289745231.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 
-3.078e-14 -1.372e-15 -1.176e-16  1.930e-16  9.576e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.119e+00  2.773e-15 7.639e+14   <2e-16 ***
x           5.356e-01  5.316e-16 1.007e+15   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8.027e-15 on 160 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.015e+30 on 1 and 160 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/314zi1289745231.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-3.3321 -0.3321  0.2035  0.6679  2.7390 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept)  5.635e-16  3.417e-01  1.65e-15        1
x           -9.375e-17  6.549e-02 -1.43e-15        1

Residual standard error: 0.9888 on 160 degrees of freedom
Multiple R-squared: 2.033e-32,	Adjusted R-squared: -0.00625 
F-statistic: 3.253e-30 on 1 and 160 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/414zi1289745231.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-2.18525 -0.57855 -0.04298  0.49259  1.02816 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 4.840e+00  5.023e-02    96.36   <2e-16 ***
m$residuals 6.624e-16  5.111e-02 1.30e-14        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.6393 on 160 degrees of freedom
Multiple R-squared: 1.319e-28,	Adjusted R-squared: -0.00625 
F-statistic: 2.111e-26 on 1 and 160 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/5uvy31289745231.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 
-3.2568 -0.4062  0.1603  0.7031  2.6175 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.007162   0.077441  -0.092    0.926
Residuals   -0.102083   0.078572  -1.299    0.196

Residual standard error: 0.9826 on 159 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.0105,	Adjusted R-squared: 0.004282 
F-statistic: 1.688 on 1 and 159 DF,  p-value: 0.1957 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/64mxo1289745231.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/74mxo1289745231.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/8fdfr1289745231.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/9fdfr1289745231.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/10tnc01289745231.tab") 
> 
> try(system("convert tmp/1y30u1289745231.ps tmp/1y30u1289745231.png",intern=TRUE))
character(0)
> try(system("convert tmp/2qc0f1289745231.ps tmp/2qc0f1289745231.png",intern=TRUE))
character(0)
> try(system("convert tmp/314zi1289745231.ps tmp/314zi1289745231.png",intern=TRUE))
character(0)
> try(system("convert tmp/414zi1289745231.ps tmp/414zi1289745231.png",intern=TRUE))
character(0)
> try(system("convert tmp/5uvy31289745231.ps tmp/5uvy31289745231.png",intern=TRUE))
character(0)
> try(system("convert tmp/64mxo1289745231.ps tmp/64mxo1289745231.png",intern=TRUE))
character(0)
> try(system("convert tmp/74mxo1289745231.ps tmp/74mxo1289745231.png",intern=TRUE))
character(0)
> try(system("convert tmp/8fdfr1289745231.ps tmp/8fdfr1289745231.png",intern=TRUE))
character(0)
> try(system("convert tmp/9fdfr1289745231.ps tmp/9fdfr1289745231.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.910   1.462   3.452