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)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> y <- c(94,85.5,86,94,109,118,72,140,102.8,99.8,80,106,122,161,135,140,140,135,109,135,135,90,90,81,104,104,135,81,126,140,120,120,110,108,120,118,85,94,72.6,78,65,130,70,78.5,93.5,80,78.8,90.3,87.7,107,90,103,126,98,128,132,94,111,95,155)
> 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 
-26.9964  -9.0631   0.2912   6.2982  30.8053 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 82.888068   2.443163   33.93   <2e-16 ***
x            0.112146   0.008924   12.57   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 12.12 on 58 degrees of freedom
Multiple R-squared: 0.7314,	Adjusted R-squared: 0.7268 
F-statistic: 157.9 on 1 and 58 DF,  p-value: < 2.2e-16 

> postscript(file="/var/wessaorg/rcomp/tmp/14ujr1321899892.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/2y6a51321899892.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 
-4.065e-14 -4.210e-15 -2.820e-16  4.451e-15  2.100e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 8.289e+01  1.561e-15 5.310e+16   <2e-16 ***
x           1.121e-01  5.702e-18 1.967e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 7.741e-15 on 58 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.869e+32 on 1 and 58 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/38rzm1321899892.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-26.9964  -9.0631   0.2912   6.2982  30.8053 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -3.732e-16  2.443e+00       0        1
x            1.158e-19  8.924e-03       0        1

Residual standard error: 12.12 on 58 degrees of freedom
Multiple R-squared: 2.494e-34,	Adjusted R-squared: -0.01724 
F-statistic: 1.446e-32 on 1 and 58 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4crto1321899892.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-21.121 -15.738  -5.645  11.738  60.521 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 1.065e+02  2.581e+00   41.25   <2e-16 ***
m$residuals 3.760e-17  2.167e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 19.99 on 58 degrees of freedom
Multiple R-squared: 1.167e-30,	Adjusted R-squared: -0.01724 
F-statistic: 6.77e-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/547ov1321899892.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 
-24.6000  -9.2528   0.7622   6.5996  29.4729 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)   0.1218     1.5684   0.078    0.938
Residuals     0.1718     0.1343   1.279    0.206

Residual standard error: 12.04 on 57 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.02789,	Adjusted R-squared: 0.01084 
F-statistic: 1.636 on 1 and 57 DF,  p-value: 0.2061 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6siod1321899892.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7m4jn1321899892.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8czpg1321899892.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9u88s1321899892.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/10eixm1321899892.tab") 
> 
> try(system("convert tmp/14ujr1321899892.ps tmp/14ujr1321899892.png",intern=TRUE))
character(0)
> try(system("convert tmp/2y6a51321899892.ps tmp/2y6a51321899892.png",intern=TRUE))
character(0)
> try(system("convert tmp/38rzm1321899892.ps tmp/38rzm1321899892.png",intern=TRUE))
character(0)
> try(system("convert tmp/4crto1321899892.ps tmp/4crto1321899892.png",intern=TRUE))
character(0)
> try(system("convert tmp/547ov1321899892.ps tmp/547ov1321899892.png",intern=TRUE))
character(0)
> try(system("convert tmp/6siod1321899892.ps tmp/6siod1321899892.png",intern=TRUE))
character(0)
> try(system("convert tmp/7m4jn1321899892.ps tmp/7m4jn1321899892.png",intern=TRUE))
character(0)
> try(system("convert tmp/8czpg1321899892.ps tmp/8czpg1321899892.png",intern=TRUE))
character(0)
> try(system("convert tmp/9u88s1321899892.ps tmp/9u88s1321899892.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.527   0.429   2.989