R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(24,25,17,18,18,16,20,16,18,17,23,30,23,18,15,12,21,15,20,31,27,34,21,31,19,16,20,21,22,17,24,25,26,25,17,32,33,13,32,25,29,22,18,17,20,15,20,33,29,23,26,18,20,11,28,26,22,17,12,14,17,21,19,18,10,29,31,19,9,20,28,19,30,29,26,23,13,21,19,28,23,18,21,20,23,21,21,15,28,19,26,10,16,22,19,31,31,29,19,22,23,15,20,18,23,25,21,24,25,17,13,28,21,25,9,16,19,17,25,20,29,14,22,15,19,20,15,20,18,33,22,16,17,16,21,26,18,18,17,22,30,30,24,21,21,29,31,20,16,22,20,28,38,22,20,17,28,22,31)
> x <- c(237.588
+ ,164.083
+ ,278.261
+ ,220.36
+ ,253.967
+ ,422.31
+ ,136.921
+ ,143.495
+ ,189.785
+ ,219.529
+ ,217.761
+ ,221.754
+ ,159.854
+ ,209.464
+ ,174.283
+ ,154.55
+ ,153.024
+ ,162.49
+ ,154.462
+ ,249.671
+ ,259.473
+ ,155.337
+ ,151.289
+ ,276.614
+ ,188.214
+ ,181.098
+ ,240.898
+ ,244.551
+ ,250.238
+ ,183.129
+ ,310.331
+ ,281.942
+ ,230.343
+ ,161.563
+ ,392.527
+ ,1077.414
+ ,248.275
+ ,557.386
+ ,731.874
+ ,301.429
+ ,226.36
+ ,215.018
+ ,157.672
+ ,219.118
+ ,213.019
+ ,390.642
+ ,157.124
+ ,227.652
+ ,239.266
+ ,506.343
+ ,149.219
+ ,213.351
+ ,174.517
+ ,172.531
+ ,320.656
+ ,305.011
+ ,266.495
+ ,361.511
+ ,361.019
+ ,382.187
+ ,196.763
+ ,273.212
+ ,186.397
+ ,294.205
+ ,364.685
+ ,230.501
+ ,217.51
+ ,262.297
+ ,169.246
+ ,260.428
+ ,348.187
+ ,512.937
+ ,164.496
+ ,111.187
+ ,169.999
+ ,240.187
+ ,187.158
+ ,194.096
+ ,265.846
+ ,283.319
+ ,356.938
+ ,240.802
+ ,326.662
+ ,249.266
+ ,277.368
+ ,394.618
+ ,235.686
+ ,227.641
+ ,159.593
+ ,268.866
+ ,206.466
+ ,233.064
+ ,133.824
+ ,486.783
+ ,228.859
+ ,155.238
+ ,2042.451
+ ,205.218
+ ,373.648
+ ,229.151
+ ,199.156
+ ,234.41
+ ,56.519
+ ,289.239
+ ,199.227
+ ,274.513
+ ,174.499
+ ,217.714
+ ,239.717
+ ,241.529
+ ,155.561
+ ,204.107
+ ,745.97
+ ,241.772
+ ,110.267
+ ,186.58
+ ,227.906
+ ,197.518
+ ,254.094
+ ,173.942
+ ,294.42
+ ,211.924
+ ,262.479
+ ,193.495
+ ,165.972
+ ,237.352
+ ,205.814
+ ,227.526
+ ,250.439
+ ,470.849
+ ,176.469
+ ,298.691
+ ,193.922
+ ,212.422
+ ,203.284
+ ,240.56
+ ,445.327
+ ,248.984
+ ,174.44
+ ,165.024
+ ,249.681
+ ,238.312
+ ,250.437
+ ,174.75
+ ,4941.633
+ ,138.936
+ ,203.181
+ ,187.747
+ ,270.95
+ ,307.688
+ ,184.477
+ ,230.916
+ ,187.286
+ ,169.376
+ ,182.838
+ ,176.081
+ ,248.056
+ ,235.24
+ ,76.347)
> 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 
-12.4765  -4.1040  -0.6192   3.5293  16.5071 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 2.132e+01  5.541e-01  38.485   <2e-16 ***
x           9.063e-04  1.098e-03   0.825    0.410    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5.729 on 157 degrees of freedom
Multiple R-squared: 0.00432,	Adjusted R-squared: -0.002022 
F-statistic: 0.6812 on 1 and 157 DF,  p-value: 0.4104 

> postscript(file="/var/www/rcomp/tmp/141zr1289556802.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/rcomp/tmp/241zr1289556802.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 
-3.475e-14 -8.388e-16  1.228e-16  1.141e-15  3.327e-15 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.132e+01  2.939e-16 7.254e+16   <2e-16 ***
x           9.063e-04  5.825e-19 1.556e+15   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 3.039e-15 on 157 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 2.421e+30 on 1 and 157 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3esyt1289556802.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-12.4765  -4.1040  -0.6192   3.5293  16.5071 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept)  8.374e-18  5.541e-01  1.51e-17        1
x           -5.233e-20  1.098e-03 -4.77e-17        1

Residual standard error: 5.729 on 157 degrees of freedom
Multiple R-squared: 1.53e-34,	Adjusted R-squared: -0.006369 
F-statistic: 2.401e-32 on 1 and 157 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/47kxe1289556802.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-0.21056 -0.09595 -0.05524 -0.01717  4.21668 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 2.158e+01  2.993e-02    721.3   <2e-16 ***
m$residuals 4.235e-18  5.257e-03 8.06e-16        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.3774 on 157 degrees of freedom
Multiple R-squared: 9.033e-30,	Adjusted R-squared: -0.006369 
F-statistic: 1.418e-27 on 1 and 157 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/50beh1289556802.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 
-12.9871  -3.8908  -0.6128   3.3355  15.4472 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)  
(Intercept) -0.005562   0.450819  -0.012   0.9902  
Residuals    0.164746   0.079663   2.068   0.0403 *
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 5.666 on 156 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.02668,	Adjusted R-squared: 0.02044 
F-statistic: 4.277 on 1 and 156 DF,  p-value: 0.04029 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/60beh1289556802.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7a2v21289556802.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8a2v21289556802.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/93bvn1289556802.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/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/10zltw1289556802.tab") 
> 
> try(system("convert tmp/141zr1289556802.ps tmp/141zr1289556802.png",intern=TRUE))
character(0)
> try(system("convert tmp/241zr1289556802.ps tmp/241zr1289556802.png",intern=TRUE))
character(0)
> try(system("convert tmp/3esyt1289556802.ps tmp/3esyt1289556802.png",intern=TRUE))
character(0)
> try(system("convert tmp/47kxe1289556802.ps tmp/47kxe1289556802.png",intern=TRUE))
character(0)
> try(system("convert tmp/50beh1289556802.ps tmp/50beh1289556802.png",intern=TRUE))
character(0)
> try(system("convert tmp/60beh1289556802.ps tmp/60beh1289556802.png",intern=TRUE))
character(0)
> try(system("convert tmp/7a2v21289556802.ps tmp/7a2v21289556802.png",intern=TRUE))
character(0)
> try(system("convert tmp/8a2v21289556802.ps tmp/8a2v21289556802.png",intern=TRUE))
character(0)
> try(system("convert tmp/93bvn1289556802.ps tmp/93bvn1289556802.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.950   1.690   4.613