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(26.2,17.8,31.3,23.1,27.5,36,14.1,22.3,19.6,31.3,24,17.3,43.2,36.4,26.1)
> x <- c(3.4,1.8,4.6,2.3,3.1,5.5,0.7,3,2.6,4.3,2.1,1.1,6.1,4.8,3.8)
> 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 
-3.4682 -1.4705 -0.1311  1.7915  3.3915 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  10.2779     1.4203   7.237 6.59e-06 ***
x             4.9193     0.3927  12.525 1.25e-08 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2.316 on 13 degrees of freedom
Multiple R-squared: 0.9235,	Adjusted R-squared: 0.9176 
F-statistic: 156.9 on 1 and 13 DF,  p-value: 1.248e-08 

> postscript(file="/var/wessaorg/rcomp/tmp/1rgvj1321182967.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/253601321182967.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 
-1.974e-15 -7.321e-16 -3.576e-17  5.451e-16  2.428e-15 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.028e+01  8.067e-16 1.274e+16   <2e-16 ***
x           4.919e+00  2.231e-16 2.205e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.316e-15 on 13 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 4.862e+32 on 1 and 13 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3igbg1321182967.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-3.4682 -1.4705 -0.1311  1.7915  3.3915 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  1.225e-16  1.420e+00       0        1
x           -2.752e-17  3.927e-01       0        1

Residual standard error: 2.316 on 13 degrees of freedom
Multiple R-squared: 8.88e-34,	Adjusted R-squared: -0.07692 
F-statistic: 1.154e-32 on 1 and 13 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4ki2q1321182967.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-12.6919  -5.3129  -0.8855   5.7556  13.8725 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  2.641e+01  2.078e+00   12.71 1.04e-08 ***
m$residuals -9.653e-17  9.635e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8.047 on 13 degrees of freedom
Multiple R-squared: 3.749e-31,	Adjusted R-squared: -0.07692 
F-statistic: 4.873e-30 on 1 and 13 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/5m9cj1321182967.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 
-3.6546 -1.7562  0.6779  1.5750  3.4400 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.007205   0.615394  -0.012    0.991
Residuals    0.315011   0.293601   1.073    0.304

Residual standard error: 2.292 on 12 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.08753,	Adjusted R-squared: 0.01149 
F-statistic: 1.151 on 1 and 12 DF,  p-value: 0.3044 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6zxz11321182967.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7ke7w1321182967.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8a4121321182967.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9kxmp1321182967.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/100sqj1321182967.tab") 
> 
> try(system("convert tmp/1rgvj1321182967.ps tmp/1rgvj1321182967.png",intern=TRUE))
character(0)
> try(system("convert tmp/253601321182967.ps tmp/253601321182967.png",intern=TRUE))
character(0)
> try(system("convert tmp/3igbg1321182967.ps tmp/3igbg1321182967.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ki2q1321182967.ps tmp/4ki2q1321182967.png",intern=TRUE))
character(0)
> try(system("convert tmp/5m9cj1321182967.ps tmp/5m9cj1321182967.png",intern=TRUE))
character(0)
> try(system("convert tmp/6zxz11321182967.ps tmp/6zxz11321182967.png",intern=TRUE))
character(0)
> try(system("convert tmp/7ke7w1321182967.ps tmp/7ke7w1321182967.png",intern=TRUE))
character(0)
> try(system("convert tmp/8a4121321182967.ps tmp/8a4121321182967.png",intern=TRUE))
character(0)
> try(system("convert tmp/9kxmp1321182967.ps tmp/9kxmp1321182967.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.402   0.403   2.825