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(392.5,46.2,15.7,422.2,119.4,170.9,56.9,77.5,214,65.3,20.9,248.1,23.5,39.6,48.8,6.6,134.9,50.9,4.4,113,14.8,48.7,52.1,13.2,103.9,77.5,11.8,98.1,27.9,38.1,0,69.2,14.6,40.3,161.5,57.2,217.6,58.1,12.6,59.6,89.9,202.4,181.3,152.8,162.8,73.4,21.3,92.6,76.1,39.9,142.1,93,31.9,32.1,55.6,133.3,194.5,137.9,87.4,209.8,95.5,244.6,187.5)
> x <- c(108,19,13,124,40,57,23,14,45,10,5,48,11,23,7,2,24,6,3,23,6,9,9,3,29,7,4,20,7,4,0,25,6,5,22,11,61,12,4,16,13,60,41,37,55,41,11,27,8,3,17,13,13,15,8,29,30,24,9,31,14,53,26)
> 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 
-86.561 -24.051  -0.347  23.432  83.977 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  19.9945     6.3678    3.14   0.0026 ** 
x             3.4138     0.1955   17.46   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 35.94 on 61 degrees of freedom
Multiple R-squared: 0.8333,	Adjusted R-squared: 0.8306 
F-statistic:   305 on 1 and 61 DF,  p-value: < 2.2e-16 

> postscript(file="/var/wessaorg/rcomp/tmp/1lei81321394268.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/289r31321394268.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 
-3.121e-14 -5.523e-15 -4.030e-16  6.005e-15  5.566e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.999e+01  1.953e-15 1.024e+16   <2e-16 ***
x           3.414e+00  5.995e-17 5.695e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.102e-14 on 61 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.243e+33 on 1 and 61 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/315y41321394268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-86.561 -24.051  -0.347  23.432  83.977 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) 5.237e-16  6.368e+00       0        1
x           1.396e-18  1.955e-01       0        1

Residual standard error: 35.94 on 61 degrees of freedom
Multiple R-squared: 2.943e-33,	Adjusted R-squared: -0.01639 
F-statistic: 1.795e-31 on 1 and 61 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/489z91321394268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
   Min     1Q Median     3Q    Max 
-78.19 -52.59 -30.40  20.81 345.12 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 9.819e+01  1.013e+01   9.697 5.71e-14 ***
m$residuals 6.698e-17  2.863e-01   0.000        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 80.37 on 61 degrees of freedom
Multiple R-squared: 3.588e-32,	Adjusted R-squared: -0.01639 
F-statistic: 2.189e-30 on 1 and 61 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/5ymt01321394268.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 
-69.37 -26.33  -2.84  23.94  70.14 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)   
(Intercept)   0.4366     4.2668   0.102  0.91883   
Residuals     0.3922     0.1247   3.145  0.00258 **
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 33.57 on 60 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.1415,	Adjusted R-squared: 0.1272 
F-statistic: 9.893 on 1 and 60 DF,  p-value: 0.002581 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6yqcv1321394268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7xzhm1321394268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8p5zb1321394268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9jhkr1321394268.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/10qbvs1321394268.tab") 
> 
> try(system("convert tmp/1lei81321394268.ps tmp/1lei81321394268.png",intern=TRUE))
character(0)
> try(system("convert tmp/289r31321394268.ps tmp/289r31321394268.png",intern=TRUE))
character(0)
> try(system("convert tmp/315y41321394268.ps tmp/315y41321394268.png",intern=TRUE))
character(0)
> try(system("convert tmp/489z91321394268.ps tmp/489z91321394268.png",intern=TRUE))
character(0)
> try(system("convert tmp/5ymt01321394268.ps tmp/5ymt01321394268.png",intern=TRUE))
character(0)
> try(system("convert tmp/6yqcv1321394268.ps tmp/6yqcv1321394268.png",intern=TRUE))
character(0)
> try(system("convert tmp/7xzhm1321394268.ps tmp/7xzhm1321394268.png",intern=TRUE))
character(0)
> try(system("convert tmp/8p5zb1321394268.ps tmp/8p5zb1321394268.png",intern=TRUE))
character(0)
> try(system("convert tmp/9jhkr1321394268.ps tmp/9jhkr1321394268.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.506   0.404   2.978