R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> y <- c(38,32,35,33,37,29,31,36,35,38,31,34,35,38,37,33,32,38,38,32,33,31,38,39,32,32,35,37,33,33,28,32,31,37,30,33,31,33,31,33,32,33,32,33,28,35,39,34,38,32,38,30,33,38,32,32,34,34,36,34,28,34,35,35,31,37,35,27,40,37,36,38,39,41,27,30,37,31,31,27,36,38,37,33,34,31,39,34,32,33,36,32,41,28,30,36,35,31,34,36,36,35,37,28,39,32,35,39,35,42,34,33,41,33,34,32,40,40,35,36,37,27,39,38,31,33,32,39,36,33,33,32,37,30,38,29,22,35,35,34,35,34,34,35,23,31,27,36,31,32,39,37,38,39,34,31,32,37,36,32,35,36)
> x <- c(41,39,30,31,34,35,39,34,36,37,38,36,38,39,33,32,36,38,39,32,32,31,39,37,39,41,36,33,33,34,31,27,37,34,34,32,29,36,29,35,37,34,38,35,38,37,38,33,36,38,32,32,32,34,32,37,39,29,37,35,30,38,34,31,34,35,36,30,39,35,38,31,34,38,34,39,37,34,28,37,33,37,35,37,32,33,38,33,29,33,31,36,35,32,29,39,37,35,37,32,38,37,36,32,33,40,38,41,36,43,30,31,32,32,37,37,33,34,33,38,33,31,38,37,33,31,39,44,33,35,32,28,40,27,37,32,28,34,30,35,31,32,30,30,31,40,32,36,32,35,38,42,34,35,35,33,36,32,33,34,32,34)
> 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 
-9.689 -2.198  0.149  2.537  7.924 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 20.67674    2.69117   7.683 1.47e-12 ***
x            0.38748    0.07736   5.009 1.44e-06 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 3.313 on 160 degrees of freedom
Multiple R-squared: 0.1355,	Adjusted R-squared: 0.1301 
F-statistic: 25.09 on 1 and 160 DF,  p-value: 1.436e-06 

> postscript(file="/var/www/rcomp/tmp/1ot8m1322582087.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/www/rcomp/tmp/2iobs1322582087.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 
-3.575e-15 -2.032e-15  2.400e-17  1.754e-15  2.421e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.068e+01  2.211e-15 9.351e+15   <2e-16 ***
x           3.875e-01  6.356e-17 6.096e+15   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2.722e-15 on 160 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.716e+31 on 1 and 160 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3a7v41322582087.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
   Min     1Q Median     3Q    Max 
-9.689 -2.198  0.149  2.537  7.924 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -3.667e-16  2.691e+00       0        1
x            1.018e-17  7.736e-02       0        1

Residual standard error: 3.313 on 160 degrees of freedom
Multiple R-squared: 1.563e-33,	Adjusted R-squared: -0.00625 
F-statistic: 2.5e-31 on 1 and 160 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4uacq1322582087.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-2.9539 -1.0165 -0.2416  0.9209  3.6332 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 3.409e+01  1.031e-01   330.8   <2e-16 ***
m$residuals 2.763e-17  3.130e-02     0.0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.312 on 160 degrees of freedom
Multiple R-squared: 2.402e-29,	Adjusted R-squared: -0.00625 
F-statistic: 3.843e-27 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/rcomp/tmp/5fuvv1322582087.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 
-9.6687 -2.3065  0.1928  2.5106  7.9450 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.009421   0.261593  -0.036    0.971
Residuals   -0.037283   0.079308  -0.470    0.639

Residual standard error: 3.319 on 159 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.001388,	Adjusted R-squared: -0.004893 
F-statistic: 0.221 on 1 and 159 DF,  p-value: 0.6389 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6inj81322582087.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7je8w1322582087.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8mkra1322582087.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9e0xw1322582087.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/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/10p8pz1322582087.tab") 
> 
> try(system("convert tmp/1ot8m1322582087.ps tmp/1ot8m1322582087.png",intern=TRUE))
character(0)
> try(system("convert tmp/2iobs1322582087.ps tmp/2iobs1322582087.png",intern=TRUE))
character(0)
> try(system("convert tmp/3a7v41322582087.ps tmp/3a7v41322582087.png",intern=TRUE))
character(0)
> try(system("convert tmp/4uacq1322582087.ps tmp/4uacq1322582087.png",intern=TRUE))
character(0)
> try(system("convert tmp/5fuvv1322582087.ps tmp/5fuvv1322582087.png",intern=TRUE))
character(0)
> try(system("convert tmp/6inj81322582087.ps tmp/6inj81322582087.png",intern=TRUE))
character(0)
> try(system("convert tmp/7je8w1322582087.ps tmp/7je8w1322582087.png",intern=TRUE))
character(0)
> try(system("convert tmp/8mkra1322582087.ps tmp/8mkra1322582087.png",intern=TRUE))
character(0)
> try(system("convert tmp/9e0xw1322582087.ps tmp/9e0xw1322582087.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.040   0.320   4.356