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

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> y <- c(288186,281477,282656,280190,280408,276836,275216,274352,271311,289802,290726,292300,278506,269826,265861,269034,264176,255198,253353,246057,235372,258556,260993,254663,250643,243422,247105,248541,245039,237080,237085,225554,226839,247934,248333,246969,245098,246263,255765,264319,268347,273046,273963,267430,271993,292710,295881,293299,288576,286445,297584,300431,298522,292213,285383,277537,277891,302686,300653,296369,287224)
> x <- c(868,1022,438,594,946,797,775,978,793,813,782,892,841,991,394,536,906,734,789,1006,785,775,858,710,828,922,535,729,754,641,723,716,615,679,629,659,875,784,348,392,686,631,674,724,658,628,653,651,739,703,331,386,732,729,596,684,707,739,678,608,681)
> 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 
-44119 -19045   3019  17255  33586 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 280167.83   12369.83  22.649   <2e-16 ***
x              -14.98      16.96  -0.883    0.381    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 20610 on 59 degrees of freedom
Multiple R-squared: 0.01305,	Adjusted R-squared: -0.003682 
F-statistic: 0.7799 on 1 and 59 DF,  p-value: 0.3808 

> postscript(file="/var/www/html/rcomp/tmp/13r031290818494.ps",horizontal=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/23r031290818494.ps",horizontal=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 
-4.734e-11 -2.870e-11 -1.397e-11  1.858e-12  7.107e-10 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept)  2.802e+05  5.746e-11  4.876e+15   <2e-16 ***
x           -1.498e+01  7.877e-14 -1.901e+14   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 9.576e-11 on 59 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.614e+28 on 1 and 59 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3e0z61290818494.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
   Min     1Q Median     3Q    Max 
-44119 -19045   3019  17255  33586 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept) -1.452e-11  1.237e+04 -1.17e-15        1
x            1.646e-14  1.696e+01  9.71e-16        1

Residual standard error: 20610 on 59 degrees of freedom
Multiple R-squared: 2.715e-32,	Adjusted R-squared: -0.01695 
F-statistic: 1.602e-30 on 1 and 59 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4prgr1290818494.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-4633.3 -1203.7  -155.4  1072.6  5715.2 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 2.695e+05  3.035e+02      888   <2e-16 ***
m$residuals 6.376e-16  1.497e-02 4.26e-14        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 2370 on 59 degrees of freedom
Multiple R-squared: 1.073e-27,	Adjusted R-squared: -0.01695 
F-statistic: 6.333e-26 on 1 and 59 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/5prgr1290818494.ps",horizontal=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 
-15648  -4986  -1149   3573  26123 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  -89.01037 1095.72152  -0.081    0.936    
Residuals      0.90854    0.05392  16.849   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 8487 on 58 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.8304,	Adjusted R-squared: 0.8274 
F-statistic: 283.9 on 1 and 58 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6ziyc1290818494.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7ziyc1290818494.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/8aaff1290818494.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/9aaff1290818494.ps",horizontal=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/10t4ku1290818494.tab") 
> 
> try(system("convert tmp/13r031290818494.ps tmp/13r031290818494.png",intern=TRUE))
character(0)
> try(system("convert tmp/23r031290818494.ps tmp/23r031290818494.png",intern=TRUE))
character(0)
> try(system("convert tmp/3e0z61290818494.ps tmp/3e0z61290818494.png",intern=TRUE))
character(0)
> try(system("convert tmp/4prgr1290818494.ps tmp/4prgr1290818494.png",intern=TRUE))
character(0)
> try(system("convert tmp/5prgr1290818494.ps tmp/5prgr1290818494.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ziyc1290818494.ps tmp/6ziyc1290818494.png",intern=TRUE))
character(0)
> try(system("convert tmp/7ziyc1290818494.ps tmp/7ziyc1290818494.png",intern=TRUE))
character(0)
> try(system("convert tmp/8aaff1290818494.ps tmp/8aaff1290818494.png",intern=TRUE))
character(0)
> try(system("convert tmp/9aaff1290818494.ps tmp/9aaff1290818494.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.802   1.341   4.237