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(1,0,0,0,1,1,0,1,0,0,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,0,1,1,1,1,1,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,1)
> x <- c(129.99,59.99,49.99,84.99,179.99,329.99,25.99,499.99,89.99,119.99,79.99,199.99,449.99,549.99,529.99,639.99,749.99,399.99,169.99,189.99,199.99,69.99,69.99,109.99,159.99,159.99,199.99,75,349.99,439.99,309.99,379.99,349.99,169.99,239.99,229.99,69.99,99.99,29.99,39.99,21.99,499.99,29.99,29.99,49.99,49.99,55.99,59.99,79.99,139.99,159.99,169.99,229.99,249.99,309.99,499.99,65.99,89.99,89.99,449.99)
> par1 = '0'
> 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 
-0.6329 -0.2684 -0.1761  0.3754  0.7115 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 0.1279600  0.0721624   1.773   0.0814 .  
x           0.0020066  0.0002636   7.613 2.73e-10 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.3579 on 58 degrees of freedom
Multiple R-squared: 0.4998,	Adjusted R-squared: 0.4912 
F-statistic: 57.96 on 1 and 58 DF,  p-value: 2.731e-10 

> postscript(file="/var/wessaorg/rcomp/tmp/14mud1321900033.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/2w0ko1321900033.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 
-1.128e-16 -3.647e-17 -1.963e-17  1.572e-17  7.235e-16 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.280e-01  2.108e-17 6.071e+15   <2e-16 ***
x           2.007e-03  7.699e-20 2.606e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.045e-16 on 58 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 6.794e+32 on 1 and 58 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3gsuz1321900034.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-0.6329 -0.2684 -0.1761  0.3754  0.7115 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  3.198e-17  7.216e-02       0        1
x           -8.079e-20  2.636e-04       0        1

Residual standard error: 0.3579 on 58 degrees of freedom
Multiple R-squared: 4.588e-33,	Adjusted R-squared: -0.01724 
F-statistic: 2.661e-31 on 1 and 58 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4yvz51321900034.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-0.3779 -0.2816 -0.1010  0.2100  1.0829 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 5.500e-01  4.618e-02   11.91   <2e-16 ***
m$residuals 5.766e-17  1.313e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.3577 on 58 degrees of freedom
Multiple R-squared: 2.458e-31,	Adjusted R-squared: -0.01724 
F-statistic: 1.425e-29 on 1 and 58 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/5avb71321900034.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 
-0.5190 -0.2082 -0.1105  0.2495  0.8535 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)   
(Intercept) -0.01055    0.04261  -0.248  0.80539   
Residuals    0.35633    0.12009   2.967  0.00439 **
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.3273 on 57 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.1338,	Adjusted R-squared: 0.1186 
F-statistic: 8.805 on 1 and 57 DF,  p-value: 0.004386 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6kztu1321900034.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7mn8k1321900034.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8rkdw1321900034.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/978931321900034.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/108usp1321900034.tab") 
> 
> try(system("convert tmp/14mud1321900033.ps tmp/14mud1321900033.png",intern=TRUE))
character(0)
> try(system("convert tmp/2w0ko1321900033.ps tmp/2w0ko1321900033.png",intern=TRUE))
character(0)
> try(system("convert tmp/3gsuz1321900034.ps tmp/3gsuz1321900034.png",intern=TRUE))
character(0)
> try(system("convert tmp/4yvz51321900034.ps tmp/4yvz51321900034.png",intern=TRUE))
character(0)
> try(system("convert tmp/5avb71321900034.ps tmp/5avb71321900034.png",intern=TRUE))
character(0)
> try(system("convert tmp/6kztu1321900034.ps tmp/6kztu1321900034.png",intern=TRUE))
character(0)
> try(system("convert tmp/7mn8k1321900034.ps tmp/7mn8k1321900034.png",intern=TRUE))
character(0)
> try(system("convert tmp/8rkdw1321900034.ps tmp/8rkdw1321900034.png",intern=TRUE))
character(0)
> try(system("convert tmp/978931321900034.ps tmp/978931321900034.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.418   0.415   2.875