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(374.92,375.63,376.51,377.75,378.54,378.21,376.65,374.28,373.12,373.1,374.67,375.97,377.03,377.87,378.88,380.42,380.62,379.66,377.48,376.07,374.1,374.47,376.15,377.51,378.43,379.7,380.91,382.2,382.45,382.14,380.6,378.6,376.72,376.98,378.29,380.07,381.36,382.19,382.65,384.65,384.94,384.01,382.15,380.33,378.81,379.06,380.17,381.85,382.88,383.77,384.42,386.36,386.53,386.01,384.45,381.96,380.81,381.09,382.37,383.84,385.42,385.72,385.96,387.18,388.5,387.88,386.38,384.15,383.07,382.98,384.11,385.54,386.92,387.41,388.77,389.46,390.18,389.43,387.74,385.91,384.77,384.38,385.99,387.26)
> x <- c(68897,38683,44720,39525,45315,50380,40600,36279,42438,38064,31879,11379,70249,39253,47060,41697,38708,49267,39018,32228,40870,39383,34571,12066,70938,34077,45409,40809,37013,44953,37848,32745,39401,34931,33008,8620,68906,39556,50669,36432,40891,48428,36222,33425,39401,37967,34801,12657,69116,41519,51321,38529,41547,52073,38401,40898,40439,41888,37898,8771,68184,50530,47221,41756,45633,48138,39486,39341,41117,41629,29722,7054,56676,34870,35117,30169,30936,35699,33228,27733,33666,35429,27438,8170)
> 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 
-8.5745 -3.2794  0.3908  3.2484  8.3579 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  3.825e+02  1.524e+00 251.026   <2e-16 ***
x           -2.071e-05  3.679e-05  -0.563    0.575    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 4.378 on 82 degrees of freedom
Multiple R-squared: 0.00385,	Adjusted R-squared: -0.008298 
F-statistic: 0.3169 on 1 and 82 DF,  p-value: 0.575 

> postscript(file="/var/wessaorg/rcomp/tmp/18ilr1323687103.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/2c2p41323687103.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 
-3.283e-14 -1.509e-14  2.650e-16  1.565e-14  7.501e-14 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept)  3.825e+02  6.718e-15  5.693e+16   <2e-16 ***
x           -2.071e-05  1.622e-19 -1.277e+14   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.931e-14 on 82 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.63e+28 on 1 and 82 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3vl7v1323687103.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-8.5745 -3.2794  0.3908  3.2484  8.3579 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.112e-18  1.524e+00       0        1
x            8.309e-22  3.679e-05       0        1

Residual standard error: 4.378 on 82 degrees of freedom
Multiple R-squared:     0,	Adjusted R-squared: -0.0122 
F-statistic:     0 on 1 and 82 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/48xb71323687103.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-0.65486 -0.11303 -0.00085  0.09481  0.66833 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  3.816e+02  2.970e-02   12851   <2e-16 ***
m$residuals -5.841e-16  6.865e-03       0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.2722 on 82 degrees of freedom
Multiple R-squared: 2.128e-27,	Adjusted R-squared: -0.0122 
F-statistic: 1.745e-25 on 1 and 82 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/58j9b1323687103.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 
-2.8474 -0.9325  0.1995  0.9499  2.7609 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   0.1304     0.1459   0.894    0.374    
Residuals     0.9482     0.0338  28.050   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.33 on 81 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.9067,	Adjusted R-squared: 0.9055 
F-statistic: 786.8 on 1 and 81 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6bals1323687103.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7o5611323687103.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8s6b11323687103.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9pws21323687103.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/10zh7u1323687103.tab") 
> 
> try(system("convert tmp/18ilr1323687103.ps tmp/18ilr1323687103.png",intern=TRUE))
character(0)
> try(system("convert tmp/2c2p41323687103.ps tmp/2c2p41323687103.png",intern=TRUE))
character(0)
> try(system("convert tmp/3vl7v1323687103.ps tmp/3vl7v1323687103.png",intern=TRUE))
character(0)
> try(system("convert tmp/48xb71323687103.ps tmp/48xb71323687103.png",intern=TRUE))
character(0)
> try(system("convert tmp/58j9b1323687103.ps tmp/58j9b1323687103.png",intern=TRUE))
character(0)
> try(system("convert tmp/6bals1323687103.ps tmp/6bals1323687103.png",intern=TRUE))
character(0)
> try(system("convert tmp/7o5611323687103.ps tmp/7o5611323687103.png",intern=TRUE))
character(0)
> try(system("convert tmp/8s6b11323687103.ps tmp/8s6b11323687103.png",intern=TRUE))
character(0)
> try(system("convert tmp/9pws21323687103.ps tmp/9pws21323687103.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.539   0.455   3.001