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(33145,30912,35591,35832,38376,37971,39824,39908,38969,39553,37387,35119,36446,36041,38790,38281,41972,40483,42092,42255,40476,41254,37280,35192,37077,34265,38876,37447,41159,40153,42528,42681,40643,40724,34054,32587,33955,31396,35638,36474,39387,38233,40619,40340,38856,39325,34675,32695,32975,31210,35283,34247,37126,36582,39230,38672,37886,38118,33627,31880,32016,31900,35825,35818,39208,38581,40367,40033,38946,40144,34764,33328,32890,31171,34811,36879,40339,39112,40765,40730,39298,39653,34418,32387,33363,31463,36570,38031,42459,41764,43278,43024,41588,42396,37942,35454,35860,34110,39102,39584,43408,42247,44096,44083,41815,42668,37079,35454,35963,34673,37967,40127,43416,42659,44164,43134,41827,42188,34683,32762,32441,30076,34246,36224,38787,37849,40351,39865,37832,37867,32681,30910,31321,29857,34472,29353,38552,38344,41196,40955,38706,39368,34145,31123)
> x <- c(90604,97527,111940,100280,100009,95558,98533,92694,97920,110933,110855,111716,96348,105425,114874,104199,101166,99010,101607,97492,106088,113536,112475,115491,97733,102591,114783,100397,97772,96128,91261,90686,97792,108848,109989,109453,93945,98750,119043,104776,103262,106735,101600,99358,105240,114079,121637,111747,99496,104992,124255,108258,106940,104939,105896,107287,110783,122139,125823,120480,103296,117121,129924,118589,118062,113597,117161,112893,119657,136562,140446,138744,120324,118113,130257,125510,117986,118316,122075,117573,122566,135934,138394,137999,118780,117907,142932,132200,125666,127958,127718,124368,135241,144734,142320,141481,120471,123422,145829,134572,132156,140265,137771,134035,144016,151905,155791,148440,129862,134264,151952,143191,137242,136993,134431,132523,133486,140120,137521,112193,94256,99047,109761,102160,104792,104341,112430,113034,114197,127876,135199,123663,112578,117104,139703,114961,134222,128390,134197,135963,135936,146803,143231,131510)
> par1 = '0'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> 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 
-8057.1 -3005.4   514.1  3048.3  6129.6 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 3.372e+04  2.273e+03  14.834   <2e-16 ***
x           3.207e-02  1.899e-02   1.689   0.0935 .  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 3645 on 142 degrees of freedom
Multiple R-squared: 0.01968,	Adjusted R-squared: 0.01278 
F-statistic: 2.851 on 1 and 142 DF,  p-value: 0.09349 

> postscript(file="/var/www/rcomp/tmp/1rpjf1324310320.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/2lx7u1324310320.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 
-4.682e-12 -1.843e-12 -1.560e-13  1.573e-12  4.111e-11 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 3.372e+04  2.555e-12 1.320e+16   <2e-16 ***
x           3.207e-02  2.134e-17 1.503e+15   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 4.096e-12 on 142 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 2.258e+30 on 1 and 142 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3xjs01324310320.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-8057.1 -3005.4   514.1  3048.3  6129.6 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.385e-13  2.273e+03       0        1
x            1.495e-18  1.899e-02       0        1

Residual standard error: 3645 on 142 degrees of freedom
Multiple R-squared: 3.765e-33,	Adjusted R-squared: -0.007042 
F-statistic: 5.347e-31 on 1 and 142 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4mrt01324310320.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-899.28 -438.33  -41.09  480.18 1191.01 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  3.753e+04  4.305e+01   871.8   <2e-16 ***
m$residuals -1.026e-16  1.189e-02     0.0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 516.5 on 142 degrees of freedom
Multiple R-squared: 1.397e-30,	Adjusted R-squared: -0.007042 
F-statistic: 1.984e-28 on 1 and 142 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/5b6rp1324310320.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 
-6416.0 -1550.5   190.9  1902.0  6575.4 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) -11.37524  204.20606  -0.056    0.956    
Residuals     0.74962    0.05692  13.169   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2442 on 141 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.5516,	Adjusted R-squared: 0.5484 
F-statistic: 173.4 on 1 and 141 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6tbo81324310320.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7nl4e1324310320.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8yerq1324310320.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/94b5p1324310320.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/108dj51324310320.tab") 
> 
> try(system("convert tmp/1rpjf1324310320.ps tmp/1rpjf1324310320.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lx7u1324310320.ps tmp/2lx7u1324310320.png",intern=TRUE))
character(0)
> try(system("convert tmp/3xjs01324310320.ps tmp/3xjs01324310320.png",intern=TRUE))
character(0)
> try(system("convert tmp/4mrt01324310320.ps tmp/4mrt01324310320.png",intern=TRUE))
character(0)
> try(system("convert tmp/5b6rp1324310320.ps tmp/5b6rp1324310320.png",intern=TRUE))
character(0)
> try(system("convert tmp/6tbo81324310320.ps tmp/6tbo81324310320.png",intern=TRUE))
character(0)
> try(system("convert tmp/7nl4e1324310320.ps tmp/7nl4e1324310320.png",intern=TRUE))
character(0)
> try(system("convert tmp/8yerq1324310320.ps tmp/8yerq1324310320.png",intern=TRUE))
character(0)
> try(system("convert tmp/94b5p1324310320.ps tmp/94b5p1324310320.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.680   0.190   2.895