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(2266,3213,1715,2219,2513,2194,1909,2305,2052,2378,1774,2706,1542,1697,1914,2609,2039,2024,1479,1387,1269,1272,1963,1384,1978,1736,2035,2209,1499,1342,1431,1497,1859,1479,1595,1465,1197,1345,1317,1509,1197,1604,1296,1199,1309,1808,1577,1133,1395,1391,1275,1068,1439,1232,1397,1330,1195,873,1169,1359,1169,1430,1172,1228,1108,1752,1109,967,1912,1212,1120,1463,1632,996,1601,843,1077,1484,958,1150,1134,693,1248,996,1053,1154,692,976,888,1107,1015,1196,1038,989,990,1000,1266,984,1157,1773,1020,939,783,1230,807,1179,1120,1051,962,1239,910,1019,756,872,880,803,1015,924,1022,841,1077,670,1577,918,822,870,620,724,866,883)
> x <- c(77,72,70,68,63,63,62,62,62,62,60,60,58,57,57,56,53,53,52,52,50,50,50,49,49,48,48,48,48,48,47,47,47,46,46,46,45,45,44,43,43,43,43,43,42,41,41,41,41,41,41,40,40,40,39,38,38,38,38,38,38,37,37,37,37,36,36,36,36,35,35,35,35,34,34,34,34,33,33,33,32,32,31,31,31,31,31,30,30,30,30,30,30,30,30,30,30,30,29,28,28,28,28,28,27,27,26,26,26,25,25,25,25,25,25,25,25,24,24,24,23,22,22,22,22,22,22,22,21,21)
> par1 = '100'
> 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 
-598.39 -166.18  -36.43  122.70  837.86 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  151.871     76.898   1.975   0.0504 .  
x             30.879      1.895  16.293   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 270.2 on 128 degrees of freedom
Multiple R-squared: 0.6747,	Adjusted R-squared: 0.6721 
F-statistic: 265.5 on 1 and 128 DF,  p-value: < 2.2e-16 

> postscript(file="/var/wessaorg/rcomp/tmp/1dvvh1321373766.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/2acbp1321373766.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 
-1.661e-12 -5.085e-14  3.900e-16  5.502e-14  4.411e-13 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.519e+02  4.869e-14 3.119e+15   <2e-16 ***
x           3.088e+01  1.200e-15 2.573e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.711e-13 on 128 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 6.622e+32 on 1 and 128 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3r28g1321373766.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-598.39 -166.18  -36.43  122.70  837.86 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) 4.794e-15  7.690e+01       0        1
x           3.894e-18  1.895e+00       0        1

Residual standard error: 270.2 on 128 degrees of freedom
Multiple R-squared: 4.868e-35,	Adjusted R-squared: -0.007812 
F-statistic: 6.23e-33 on 1 and 128 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4sds61321373766.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-543.47 -265.56  -64.85  251.66 1185.75 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 1.344e+03  3.412e+01   39.38   <2e-16 ***
m$residuals 8.305e-17  1.273e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 389.1 on 128 degrees of freedom
Multiple R-squared: 4.242e-31,	Adjusted R-squared: -0.007812 
F-statistic: 5.43e-29 on 1 and 128 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/54lha1321373766.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 
-505.11 -162.32  -47.04  130.60  805.93 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)  1.97007   23.63587   0.083    0.934
Residuals   -0.11368    0.08786  -1.294    0.198

Residual standard error: 268.5 on 127 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.01301,	Adjusted R-squared: 0.00524 
F-statistic: 1.674 on 1 and 127 DF,  p-value: 0.198 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6bwd61321373766.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7txsj1321373766.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8k6fx1321373766.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/91bfc1321373766.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/10nr1e1321373766.tab") 
> 
> try(system("convert tmp/1dvvh1321373766.ps tmp/1dvvh1321373766.png",intern=TRUE))
character(0)
> try(system("convert tmp/2acbp1321373766.ps tmp/2acbp1321373766.png",intern=TRUE))
character(0)
> try(system("convert tmp/3r28g1321373766.ps tmp/3r28g1321373766.png",intern=TRUE))
character(0)
> try(system("convert tmp/4sds61321373766.ps tmp/4sds61321373766.png",intern=TRUE))
character(0)
> try(system("convert tmp/54lha1321373766.ps tmp/54lha1321373766.png",intern=TRUE))
character(0)
> try(system("convert tmp/6bwd61321373766.ps tmp/6bwd61321373766.png",intern=TRUE))
character(0)
> try(system("convert tmp/7txsj1321373766.ps tmp/7txsj1321373766.png",intern=TRUE))
character(0)
> try(system("convert tmp/8k6fx1321373766.ps tmp/8k6fx1321373766.png",intern=TRUE))
character(0)
> try(system("convert tmp/91bfc1321373766.ps tmp/91bfc1321373766.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.604   0.440   3.766