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.

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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.
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> y <- c(15.34
+ ,24.164
+ ,17.038
+ ,14.91
+ ,23.744
+ ,13.87
+ ,14.931
+ ,12.594
+ ,16.616
+ ,20.545
+ ,17.471
+ ,16.896
+ ,13.838
+ ,8.925
+ ,13.148
+ ,13.943
+ ,16.35
+ ,10.29
+ ,14.06
+ ,80.415
+ ,19.579
+ ,15.117
+ ,13.998
+ ,20.441
+ ,15.822
+ ,19.506
+ ,20.781
+ ,29.42
+ ,16.055
+ ,24.878
+ ,41.172
+ ,17.072
+ ,17.83
+ ,19.282
+ ,20.233
+ ,18.766
+ ,22.029
+ ,304.004
+ ,30.275
+ ,18.185
+ ,16.406
+ ,12.776
+ ,11.845
+ ,14.661
+ ,21.061
+ ,17.206
+ ,11.501
+ ,17.741
+ ,17.276
+ ,40.198
+ ,15.25
+ ,14.127
+ ,29.77
+ ,16.781
+ ,44.172
+ ,19.75
+ ,22.806
+ ,18.983
+ ,56.465
+ ,11.375
+ ,20.045
+ ,20.876
+ ,15.952
+ ,15.253
+ ,34.067
+ ,31.238
+ ,27.412
+ ,23.828
+ ,15.829
+ ,24.081
+ ,33.328
+ ,35.75
+ ,25.047
+ ,12.203
+ ,18.803
+ ,15.942
+ ,21.309
+ ,23.886
+ ,22.061
+ ,20.723
+ ,15.029
+ ,19.707
+ ,12.928
+ ,17.163
+ ,15.753
+ ,18.303
+ ,35.821
+ ,16.61
+ ,15.232
+ ,15.819
+ ,15.008
+ ,17.921
+ ,14.248
+ ,13.789
+ ,21.033
+ ,19.363
+ ,35.832
+ ,18.316
+ ,18.284
+ ,13.12
+ ,15.094
+ ,16.241
+ ,14.742
+ ,36.378
+ ,19.566
+ ,15.272
+ ,15.343
+ ,16.533
+ ,13.447
+ ,16.603
+ ,10.718
+ ,13.351
+ ,305.45
+ ,16.068
+ ,15.088
+ ,20.528
+ ,18.828
+ ,14.005
+ ,18.032
+ ,12.964
+ ,29.277
+ ,10.908
+ ,16.47
+ ,14.473
+ ,13.604
+ ,19.186
+ ,25.847
+ ,30.249
+ ,23.725
+ ,304.038
+ ,15.984
+ ,16.152
+ ,18.029
+ ,12.933
+ ,17.922
+ ,17.477
+ ,32.225
+ ,14.375
+ ,15.79
+ ,13.088
+ ,36.608
+ ,21.043
+ ,13.384
+ ,23.969
+ ,102.863
+ ,18.508
+ ,15.889
+ ,15.065
+ ,12.534
+ ,17.703
+ ,14.857
+ ,23.793
+ ,34.532
+ ,11.392
+ ,14.916
+ ,14.579
+ ,25.62
+ ,14.94
+ ,13.322)
> x <- c(265.563
+ ,187.07
+ ,299.256
+ ,241.34
+ ,273.941
+ ,444.295
+ ,161.93
+ ,165.479
+ ,206.776
+ ,239.511
+ ,239.745
+ ,242.754
+ ,179.838
+ ,225.461
+ ,196.268
+ ,172.547
+ ,171.014
+ ,177.49
+ ,173.437
+ ,274.655
+ ,284.46
+ ,182.315
+ ,173.285
+ ,299.614
+ ,210.206
+ ,199.094
+ ,262.88
+ ,263.541
+ ,274.238
+ ,202.129
+ ,334.315
+ ,308.94
+ ,252.318
+ ,185.563
+ ,413.511
+ ,1106.398
+ ,273.259
+ ,574.372
+ ,759.868
+ ,327.407
+ ,256.36
+ ,240.008
+ ,173.67
+ ,238.118
+ ,235.992
+ ,408.621
+ ,179.122
+ ,255.652
+ ,268.266
+ ,530.302
+ ,173.219
+ ,232.34
+ ,192.501
+ ,183.531
+ ,350.53
+ ,328.007
+ ,290.481
+ ,379.511
+ ,377.958
+ ,400.172
+ ,217.748
+ ,295.181
+ ,211.378
+ ,316.197
+ ,379.669
+ ,258.469
+ ,240.495
+ ,284.281
+ ,187.215
+ ,280.35
+ ,370.187
+ ,531.922
+ ,191.488
+ ,134.172
+ ,190.977
+ ,260.172
+ ,206.12
+ ,215.08
+ ,290.83
+ ,309.294
+ ,382.906
+ ,258.801
+ ,349.659
+ ,271.266
+ ,299.364
+ ,413.597
+ ,257.665
+ ,254.641
+ ,188.567
+ ,287.861
+ ,228.466
+ ,246.064
+ ,149.793
+ ,507.767
+ ,247.852
+ ,183.211
+ ,2066.436
+ ,231.218
+ ,392.645
+ ,249.121
+ ,221.141
+ ,250.407
+ ,75.519
+ ,308.224
+ ,224.196
+ ,276.864
+ ,190.497
+ ,237.699
+ ,262.694
+ ,260.526
+ ,172.548
+ ,225.083
+ ,766.972
+ ,269.769
+ ,129.247
+ ,204.574
+ ,248.89
+ ,218.497
+ ,276.094
+ ,186.915
+ ,320.408
+ ,225.897
+ ,284.475
+ ,209.491
+ ,185.969
+ ,259.326
+ ,220.919
+ ,250.521
+ ,271.423
+ ,497.847
+ ,200.453
+ ,315.686
+ ,214.901
+ ,231.418
+ ,223.284
+ ,267.548
+ ,464.313
+ ,266.963
+ ,191.439
+ ,188.014
+ ,271.659
+ ,265.295
+ ,277.424
+ ,195.734
+ ,4964.628
+ ,165.909
+ ,227.169
+ ,207.74
+ ,285.945
+ ,325.672
+ ,205.476
+ ,256.9
+ ,219.281
+ ,187.339
+ ,207.837
+ ,192.052
+ ,272.044
+ ,256.234
+ ,102.331)
> 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 
-44.908  -8.972  -7.011  -2.925 273.505 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 17.465716   3.858459   4.527 1.18e-05 ***
x            0.026247   0.007456   3.520 0.000565 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 38.93 on 157 degrees of freedom
Multiple R-squared: 0.07315,	Adjusted R-squared: 0.06724 
F-statistic: 12.39 on 1 and 157 DF,  p-value: 0.0005649 

> postscript(file="/var/www/html/rcomp/tmp/1k08p1289743132.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/2k08p1289743132.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 
-9.230e-14 -5.363e-16  5.238e-16  1.338e-15  5.947e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.747e+01  9.107e-16 1.918e+16   <2e-16 ***
x           2.625e-02  1.760e-18 1.491e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 9.189e-15 on 157 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 2.224e+32 on 1 and 157 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3drps1289743132.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-44.908  -8.972  -7.011  -2.925 273.505 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept) -9.696e-16  3.858e+00 -2.51e-16        1
x           -4.593e-18  7.456e-03 -6.16e-16        1

Residual standard error: 38.93 on 157 degrees of freedom
Multiple R-squared: 2.568e-33,	Adjusted R-squared: -0.006369 
F-statistic: 4.032e-31 on 1 and 157 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4oi6d1289743132.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
 -6.1629  -2.8077  -1.5727  -0.5553 122.1605 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)    
(Intercept)  2.561e+01  8.674e-01     29.53   <2e-16 ***
m$residuals -6.190e-17  2.242e-02 -2.76e-15        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 10.94 on 157 degrees of freedom
Multiple R-squared: 2.648e-31,	Adjusted R-squared: -0.006369 
F-statistic: 4.157e-29 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/html/rcomp/tmp/5ga5g1289743132.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 
-44.932  -9.128  -7.145  -2.609 273.424 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)  0.05869    3.10570   0.019    0.985
Residuals   -0.02589    0.08003  -0.324    0.747

Residual standard error: 39.04 on 156 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.0006705,	Adjusted R-squared: -0.005735 
F-statistic: 0.1047 on 1 and 156 DF,  p-value: 0.7467 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6ga5g1289743132.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/74gfu1289743132.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/84gfu1289743132.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/9fpxx1289743132.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/10thd61289743132.tab") 
> 
> try(system("convert tmp/1k08p1289743132.ps tmp/1k08p1289743132.png",intern=TRUE))
character(0)
> try(system("convert tmp/2k08p1289743132.ps tmp/2k08p1289743132.png",intern=TRUE))
character(0)
> try(system("convert tmp/3drps1289743132.ps tmp/3drps1289743132.png",intern=TRUE))
character(0)
> try(system("convert tmp/4oi6d1289743132.ps tmp/4oi6d1289743132.png",intern=TRUE))
character(0)
> try(system("convert tmp/5ga5g1289743132.ps tmp/5ga5g1289743132.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ga5g1289743132.ps tmp/6ga5g1289743132.png",intern=TRUE))
character(0)
> try(system("convert tmp/74gfu1289743132.ps tmp/74gfu1289743132.png",intern=TRUE))
character(0)
> try(system("convert tmp/84gfu1289743132.ps tmp/84gfu1289743132.png",intern=TRUE))
character(0)
> try(system("convert tmp/9fpxx1289743132.ps tmp/9fpxx1289743132.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.956   1.528   3.362