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(78973,46146,46492,60656,21898,36555,74680,22807,61282,37981,41553,45081,38557,51641,30658,52924,79256,53462,68950,53639,67819,48333,28001,51665,39019,46221,65792,39858,19574,41829,78688,36781,44314,24874,56911,37048,48426,33388,26998,46502,41507,40001,33144,29501,43059,43249,29272,49821,98341,44372,42448,5950,64839,32551,30767,62046,71930,67328,67253,35373,85544,88087,30621,50580,49670,25456,69245,43787,53638,35683,38008,18801,44324,51408,53880,55708,63858,183643,35660,41664,29883,62047,33321,46553,56622,15430,49379,58215,38253,77786,21331,55292,30105,37651,59370,46216,73122,93927,55935,93308,74344,78094,25625,43750,28995,47336,57582,60875,165877,32984,61638,36367,1168,40530,21427,15024,39088,855,80455,14116,43915,76705,40112,41821,8773,52045,51491,53470,53211,63091,131634,41745,23656,51442,54574,35708,66627,39585,50029,25266,34860,62759,62307,37238,42452,59820,75075,97567,0,6023,0,0,0,0,42420,31116,0,0,1644,6179,3926,23238,0,38818)
> x <- c(309,210,360,737,143,81,1074,102,488,371,478,318,398,626,363,1003,434,650,302,415,408,756,258,279,750,637,640,339,366,482,553,345,493,150,759,603,626,337,212,670,959,421,385,248,791,1282,330,404,943,527,278,216,512,253,411,585,411,666,563,429,746,740,634,540,340,281,392,584,520,341,417,301,397,450,329,561,598,240,270,396,439,784,516,287,437,548,220,795,435,655,389,403,338,673,513,340,352,427,603,796,380,480,293,214,428,349,505,571,175,322,373,376,135,436,185,261,605,146,528,193,703,332,183,302,276,280,518,233,960,506,718,287,252,544,875,195,1065,407,329,456,212,970,408,716,490,290,618,479,0,85,0,0,0,0,407,489,0,0,74,259,69,187,0,312)
> 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 
-45680 -13844  -4769   9304 147373 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 24141.684   3935.919   6.134 6.34e-09 ***
x              50.537      8.009   6.310 2.56e-09 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 24310 on 162 degrees of freedom
Multiple R-squared: 0.1973,	Adjusted R-squared: 0.1923 
F-statistic: 39.82 on 1 and 162 DF,  p-value: 2.556e-09 

> postscript(file="/var/wessaorg/rcomp/tmp/1ra5h1321354485.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/2kn9i1321354485.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 
-1.018e-10 -7.650e-13  8.210e-13  2.577e-12  6.015e-12 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.414e+04  1.392e-12 1.734e+16   <2e-16 ***
x           5.054e+01  2.833e-15 1.784e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8.599e-12 on 162 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.182e+32 on 1 and 162 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3jfss1321354485.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
   Min     1Q Median     3Q    Max 
-45680 -13844  -4769   9304 147373 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) 3.601e-14  3.936e+03       0        1
x           7.515e-16  8.009e+00       0        1

Residual standard error: 24310 on 162 degrees of freedom
Multiple R-squared: 2.009e-34,	Adjusted R-squared: -0.006173 
F-statistic: 3.254e-32 on 1 and 162 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4vmas1321354485.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
   Min     1Q Median     3Q    Max 
-21758  -7620  -1265   6619  43030 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  4.590e+04  9.411e+02   48.77   <2e-16 ***
m$residuals -9.031e-17  3.895e-02    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 12050 on 162 degrees of freedom
Multiple R-squared: 1.283e-31,	Adjusted R-squared: -0.006173 
F-statistic: 2.078e-29 on 1 and 162 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/5bwcf1321354485.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 
-43358 -14757  -4150   9837 146675 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -241.24775 1884.94109  -0.128    0.898
Residuals      0.09885    0.07778   1.271    0.206

Residual standard error: 24070 on 161 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.009931,	Adjusted R-squared: 0.003781 
F-statistic: 1.615 on 1 and 161 DF,  p-value: 0.2056 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/60z6d1321354485.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7fyfp1321354485.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8a5y11321354485.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9f4j01321354485.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/10rsjb1321354485.tab") 
> 
> try(system("convert tmp/1ra5h1321354485.ps tmp/1ra5h1321354485.png",intern=TRUE))
character(0)
> try(system("convert tmp/2kn9i1321354485.ps tmp/2kn9i1321354485.png",intern=TRUE))
character(0)
> try(system("convert tmp/3jfss1321354485.ps tmp/3jfss1321354485.png",intern=TRUE))
character(0)
> try(system("convert tmp/4vmas1321354485.ps tmp/4vmas1321354485.png",intern=TRUE))
character(0)
> try(system("convert tmp/5bwcf1321354485.ps tmp/5bwcf1321354485.png",intern=TRUE))
character(0)
> try(system("convert tmp/60z6d1321354485.ps tmp/60z6d1321354485.png",intern=TRUE))
character(0)
> try(system("convert tmp/7fyfp1321354485.ps tmp/7fyfp1321354485.png",intern=TRUE))
character(0)
> try(system("convert tmp/8a5y11321354485.ps tmp/8a5y11321354485.png",intern=TRUE))
character(0)
> try(system("convert tmp/9f4j01321354485.ps tmp/9f4j01321354485.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.623   0.428   3.080