R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'contributors()' for more information and
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> y <- c(829461,837669,854793,850092,848783,846150,828543,830389,848989,841106,854616,832714,839290,840572,869186,856979,872126,868281,862455,881177,886924,886842,916407,890606,900409,920169,922871,920004,945772,937507,941691,958256,963509,970266,972853,982168,999892,1002099,1017611,1029782,1047956,1047689,1060054,1067078,1072366,1081823,1087601,1089905,1116316,1111355,1124250,1140597,1151683,1137532,967532,972994,999207,1007982,1015892,994850,987503,986743,1020674,1024067,1040444,1019081,1027828,1021010,1025563,1044756,1062545,1070425,1100087,1093596,1109143,1113855,1129275,1131996,1144103,1167830,1153194,1175008,1175805,1173456,1187498,1202958,1206229,1249533,1279743,1283496,1282942,1284739,1337169,1314087,1306144,1200391,1265445,1259329,1219342,1227626,1232874,1241046,1244172,1237838,1212801,1234237,1224699,1237432,1248847,1256543,1252434,1265176,1314670,1299329,1216744,1225275,1193478,1207226)
> 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 
-95842 -29824  -6880  29512 144406 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 3.719e+05  2.356e+04   15.79   <2e-16 ***
x           3.130e+00  1.043e-01   30.02   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 50510 on 116 degrees of freedom
Multiple R-squared: 0.886,	Adjusted R-squared: 0.885 
F-statistic: 901.5 on 1 and 116 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/html/freestat/rcomp/tmp/1wt0k1292941830.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/freestat/rcomp/tmp/2wt0k1292941830.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 
-1.235e-10 -5.812e-11 -1.188e-11  3.964e-11  1.161e-09 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 3.719e+05  5.780e-11 6.435e+15   <2e-16 ***
x           3.130e+00  2.558e-16 1.224e+16   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 1.239e-10 on 116 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.497e+32 on 1 and 116 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/372zn1292941830.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
   Min     1Q Median     3Q    Max 
-95842 -29824  -6880  29512 144406 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept)  1.455e-12  2.356e+04  6.18e-17        1
x           -4.354e-18  1.043e-01 -4.18e-17        1

Residual standard error: 50510 on 116 degrees of freedom
Multiple R-squared: 1.193e-33,	Adjusted R-squared: -0.008621 
F-statistic: 1.383e-31 on 1 and 116 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/45fof1292941830.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-243134 -108112   -5012  114340  229229 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 1.065e+06  1.296e+04    82.19   <2e-16 ***
m$residuals 1.103e-16  2.588e-01 4.26e-16        1    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 140800 on 116 degrees of freedom
Multiple R-squared: 1.249e-30,	Adjusted R-squared: -0.008621 
F-statistic: 1.449e-28 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/freestat/rcomp/tmp/55fof1292941830.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 
-162999   -7877    3564   11811   73050 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) -658.8399  2367.8894  -0.278    0.781    
Residuals      0.8726     0.0476  18.332   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 25610 on 115 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.745,	Adjusted R-squared: 0.7428 
F-statistic: 336.1 on 1 and 115 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/6blgb1292941830.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/7blgb1292941830.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/83ufw1292941830.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/93ufw1292941830.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/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/10h4d51292941830.tab") 
> 
> try(system("convert tmp/1wt0k1292941830.ps tmp/1wt0k1292941830.png",intern=TRUE))
character(0)
> try(system("convert tmp/2wt0k1292941830.ps tmp/2wt0k1292941830.png",intern=TRUE))
character(0)
> try(system("convert tmp/372zn1292941830.ps tmp/372zn1292941830.png",intern=TRUE))
character(0)
> try(system("convert tmp/45fof1292941830.ps tmp/45fof1292941830.png",intern=TRUE))
character(0)
> try(system("convert tmp/55fof1292941830.ps tmp/55fof1292941830.png",intern=TRUE))
character(0)
> try(system("convert tmp/6blgb1292941830.ps tmp/6blgb1292941830.png",intern=TRUE))
character(0)
> try(system("convert tmp/7blgb1292941830.ps tmp/7blgb1292941830.png",intern=TRUE))
character(0)
> try(system("convert tmp/83ufw1292941830.ps tmp/83ufw1292941830.png",intern=TRUE))
character(0)
> try(system("convert tmp/93ufw1292941830.ps tmp/93ufw1292941830.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.914   2.117   3.191