R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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(9113,9140,9309,9395,10027,10202,10003,9745,9966,10035,9999,9943,10258,10926,10807,10992,11034,10801,10161,10191,10451,10380,10251,10522,10801,10731,10161,9728,9882,9839,9917,10356,10857,10424,10721,10669,10565,10289,10646,10858,10282,10377,10443,10561,10668,10818,10865,10636,10409,10460,10579,10664,10711,11374,11345,11456,11966,12580,13006,13815,14579,14960,14904,16028,17079,15155,16049,15841,15159,14956,15645,15318,15595,16355,15925,16175,15900,15711,15594,15693,16438,17048,17699,17733,19439,20148,20112,18607,18409,18388,19187,17983,18449,19589,19135,19604,20877,23639,22830,21760,21879,21712,21321,21396,22000,22642,24272,24933,25219,25745,26433,27546,30774,32456,30124,30250,31288,31072)
> x <- c(143827,145191,146832,148577,149873,151847,153252,154292,155657,156523,156416,156693,160312,160438,160882,161668,164391,168556,169738,170387,171294,172202,172651,172770,178366,180014,181067,182586,184957,186417,188599,189490,190264,191221,191110,190674,195438,196393,197172,198760,200945,203845,204613,205487,206100,206315,206291,207801,211653,211325,211893,212056,214696,217455,218884,219816,219984,219062,218550,218179,222218,222196,223393,223292,226236,228831,228745,229140,229270,229359,230006,228810,232677,232961,234629,235660,240024,243554,244368,244356,245126,246321,246797,246735,251083,251786,252732,255051,259022,261698,263891,265247,262228,263429,264305,266371,273248,275472,278146,279506,283991,286794,288703,289285,288869,286942,285833,284095,289229,289389,290793,291454,294733,293853,294056,293982,293075,292391)
> 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 
-3754.8 -1696.2  -743.4  1624.7  8437.5 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept) -1.144e+04  1.200e+03  -9.538 2.87e-16 ***
x            1.207e-01  5.310e-03  22.727  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2572 on 116 degrees of freedom
Multiple R-squared: 0.8166,	Adjusted R-squared: 0.815 
F-statistic: 516.5 on 1 and 116 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/html/rcomp/tmp/1wl6y1292942520.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/html/rcomp/tmp/2wl6y1292942520.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 
-2.838e-11 -4.065e-13  7.862e-13  1.346e-12  2.764e-12 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept) -1.144e+04  1.750e-12 -6.538e+15   <2e-16 ***
x            1.207e-01  7.747e-18  1.558e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 3.753e-12 on 116 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 2.427e+32 on 1 and 116 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3pu5j1292942520.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-3754.8 -1696.2  -743.4  1624.7  8437.5 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)
(Intercept) 1.256e-13  1.200e+03 1.05e-16        1
x           0.000e+00  5.310e-03        0        1

Residual standard error: 2572 on 116 degrees of freedom
Multiple R-squared: 8.658e-33,	Adjusted R-squared: -0.008621 
F-statistic: 1.004e-30 on 1 and 116 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4il541292942520.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-9373.8 -4168.2  -193.2  4408.2  8837.7 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 1.529e+04  4.997e+02    30.59   <2e-16 ***
m$residuals 5.909e-16  1.959e-01 3.02e-15        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5428 on 116 degrees of freedom
Multiple R-squared: 2.391e-31,	Adjusted R-squared: -0.008621 
F-statistic: 2.774e-29 on 1 and 116 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/html/rcomp/tmp/5aum71292942520.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 
-2257.35  -349.83   -46.98   399.23  2858.81 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 33.47452   69.36145   0.483     0.63    
Residuals    0.98428    0.02805  35.089   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 750 on 115 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.9146,	Adjusted R-squared: 0.9138 
F-statistic:  1231 on 1 and 115 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6aum71292942520.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7lm3s1292942520.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/8lm3s1292942520.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/9lm3s1292942520.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/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/html/rcomp/tmp/10an041292942520.tab") 
> 
> try(system("convert tmp/1wl6y1292942520.ps tmp/1wl6y1292942520.png",intern=TRUE))
character(0)
> try(system("convert tmp/2wl6y1292942520.ps tmp/2wl6y1292942520.png",intern=TRUE))
character(0)
> try(system("convert tmp/3pu5j1292942520.ps tmp/3pu5j1292942520.png",intern=TRUE))
character(0)
> try(system("convert tmp/4il541292942520.ps tmp/4il541292942520.png",intern=TRUE))
character(0)
> try(system("convert tmp/5aum71292942520.ps tmp/5aum71292942520.png",intern=TRUE))
character(0)
> try(system("convert tmp/6aum71292942520.ps tmp/6aum71292942520.png",intern=TRUE))
character(0)
> try(system("convert tmp/7lm3s1292942520.ps tmp/7lm3s1292942520.png",intern=TRUE))
character(0)
> try(system("convert tmp/8lm3s1292942520.ps tmp/8lm3s1292942520.png",intern=TRUE))
character(0)
> try(system("convert tmp/9lm3s1292942520.ps tmp/9lm3s1292942520.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.894   1.460  23.526