R version 2.11.1 (2010-05-31)
Copyright (C) 2010 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.
Type 'q()' to quit R.

> y <- c(162.961
+ ,143.843
+ ,330.045
+ ,185.511
+ ,408.589
+ ,202.001
+ ,127.147
+ ,111.288
+ ,152.99
+ ,153.358
+ ,200.304
+ ,148.122
+ ,201.677
+ ,224.896
+ ,171.75
+ ,204.718
+ ,238.903
+ ,157.166
+ ,212.108
+ ,83.178
+ ,407.225
+ ,126.735
+ ,348.082
+ ,148.947
+ ,182.881
+ ,256.367
+ ,152.64
+ ,171.875
+ ,185.806
+ ,168.03
+ ,152.631
+ ,359.107
+ ,211.763
+ ,177.074
+ ,189.696
+ ,170.66
+ ,272.506
+ ,305.783
+ ,253.422
+ ,207.372
+ ,173.177
+ ,150.88
+ ,129.589
+ ,281.863
+ ,169.353
+ ,232.379
+ ,237.947
+ ,116.108
+ ,264.094
+ ,134.779
+ ,502.513
+ ,196.733
+ ,139.64
+ ,197.299
+ ,150.072
+ ,192.42
+ ,196.311
+ ,254.363
+ ,501.749
+ ,264.359
+ ,200.927
+ ,255.593
+ ,165.519
+ ,108.677
+ ,223.899
+ ,117.261
+ ,163.407
+ ,100.313
+ ,542.167
+ ,253.128
+ ,231.782
+ ,179.355
+ ,246.221
+ ,296.323
+ ,386.414
+ ,173.679
+ ,219.625
+ ,491.827
+ ,219.237
+ ,204.517
+ ,358.472
+ ,49.678
+ ,320.58
+ ,364.879
+ ,202.591
+ ,193.035
+ ,190.105
+ ,413.4
+ ,227.963
+ ,228.062
+ ,142.047
+ ,280.549
+ ,280.57
+ ,87.968
+ ,681.944
+ ,157.17
+ ,189.206
+ ,184.88
+ ,143.002
+ ,210.046
+ ,690.992
+ ,208.427
+ ,168.628
+ ,170.154
+ ,163.336
+ ,146.779
+ ,397.704
+ ,59.616
+ ,202.325
+ ,255.614
+ ,389.883
+ ,130.712
+ ,253.638
+ ,253.327
+ ,431.801
+ ,185.353
+ ,104.058
+ ,67.982
+ ,186.906
+ ,192.535
+ ,157.478
+ ,133.281
+ ,162.382
+ ,258.44
+ ,116.406
+ ,231.911
+ ,221.136
+ ,47.923
+ ,218.922
+ ,115.151
+ ,237.187
+ ,336.088
+ ,178.29
+ ,221.478
+ ,224.425
+ ,54.246
+ ,134.99
+ ,175.844
+ ,684.951
+ ,146.311
+ ,82.281
+ ,205.401
+ ,125.25
+ ,401.432
+ ,428.11
+ ,248.945
+ ,206.823
+ ,251.551
+ ,232.807
+ ,129.242
+ ,168.344
+ ,464.963
+ ,192.782
+ ,105.935
+ ,333.543
+ ,166.653
+ ,45.971
+ ,370.407
+ ,114.431
+ ,228.531
+ ,105.719
+ ,310.386
+ ,53.516
+ ,159.619
+ ,296.031
+ ,258.861
+ ,115.844
+ ,149.782
+ ,315.715
+ ,130.141)
> x <- c(26.012
+ ,21.288
+ ,28.576
+ ,18.023
+ ,23.666
+ ,51.887
+ ,16.642
+ ,24.505
+ ,6.886
+ ,21.614
+ ,17.972
+ ,20.514
+ ,31.325
+ ,19.459
+ ,35.75
+ ,15.787
+ ,45.21
+ ,27.778
+ ,21.489
+ ,27.393
+ ,28.944
+ ,16.318
+ ,4.148
+ ,27.405
+ ,20.413
+ ,43.35
+ ,19.125
+ ,25.031
+ ,23.804
+ ,20.327
+ ,12.455
+ ,30.598
+ ,6.343
+ ,21.453
+ ,50.435
+ ,14.647
+ ,78.187
+ ,36.639
+ ,69.935
+ ,40.63
+ ,4.437
+ ,14.942
+ ,20.483
+ ,36.377
+ ,28.392
+ ,54.545
+ ,15.787
+ ,20.22
+ ,23.05
+ ,32.141
+ ,218.987
+ ,29.965
+ ,28.942
+ ,51.018
+ ,21.637
+ ,27.026
+ ,24.258
+ ,29.872
+ ,21.59
+ ,40.5
+ ,22.056
+ ,72.165
+ ,14.026
+ ,22.125
+ ,26.845
+ ,22.834
+ ,20.719
+ ,12.301
+ ,343.037
+ ,33.655
+ ,65.078
+ ,60.501
+ ,73.215
+ ,45.577
+ ,150.834
+ ,23.14
+ ,41.579
+ ,17.954
+ ,43.676
+ ,37.572
+ ,12.208
+ ,18.504
+ ,26.145
+ ,13.791
+ ,42.453
+ ,26.099
+ ,33.494
+ ,32.651
+ ,28.751
+ ,20.218
+ ,18.734
+ ,67.125
+ ,27.585
+ ,12.143
+ ,324.724
+ ,17.253
+ ,19.001
+ ,25.298
+ ,23.449
+ ,30.245
+ ,91.059
+ ,48.154
+ ,17.748
+ ,10.045
+ ,12.871
+ ,23.727
+ ,12.821
+ ,6.684
+ ,23.341
+ ,60.505
+ ,123.69
+ ,8.687
+ ,27.213
+ ,27.718
+ ,36.96
+ ,6.113
+ ,14.345
+ ,33.53
+ ,46.639
+ ,19.807
+ ,44.131
+ ,34.465
+ ,12.509
+ ,15.263
+ ,2.974
+ ,12.85
+ ,14.459
+ ,9.605
+ ,30.422
+ ,29.966
+ ,48.422
+ ,38.056
+ ,29.639
+ ,60.639
+ ,40.353
+ ,3.636
+ ,19.599
+ ,12.95
+ ,29.676
+ ,18.609
+ ,10.562
+ ,43.283
+ ,20.266
+ ,155.213
+ ,73.938
+ ,80.59
+ ,23.077
+ ,25.44
+ ,52.128
+ ,17.724
+ ,8.431
+ ,118.919
+ ,26.719
+ ,17.591
+ ,101.462
+ ,18.541
+ ,8.059
+ ,345.61
+ ,26.573
+ ,66.183
+ ,13.047
+ ,69.978
+ ,11.313
+ ,14.723
+ ,60.973
+ ,8.507
+ ,20.146
+ ,24.486
+ ,21.939
+ ,23.813)
> 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 
-252.69  -51.39  -16.09   29.44  475.02 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 171.1172     9.2181  18.563  < 2e-16 ***
x             1.3078     0.1483   8.818 1.44e-15 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 94.99 on 168 degrees of freedom
Multiple R-squared: 0.3164,	Adjusted R-squared: 0.3123 
F-statistic: 77.75 on 1 and 168 DF,  p-value: 1.438e-15 

> postscript(file="/var/www/rcomp/tmp/1y8ka1289555620.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/2y8ka1289555620.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 
-8.961e-14 -6.564e-15  1.744e-16  8.236e-15  5.389e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.711e+02  1.516e-15 1.129e+17   <2e-16 ***
x           1.308e+00  2.439e-17 5.362e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.562e-14 on 168 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 2.875e+33 on 1 and 168 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/39zjv1289555620.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-252.69  -51.39  -16.09   29.44  475.02 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept)  8.050e-16  9.218e+00  8.73e-17        1
x           -2.237e-18  1.483e-01 -1.51e-17        1

Residual standard error: 94.99 on 168 degrees of freedom
Multiple R-squared: 3.447e-36,	Adjusted R-squared: -0.005952 
F-statistic: 5.791e-34 on 1 and 168 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4k91g1289555620.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-45.914 -26.317 -17.412   2.218 402.175 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)    
(Intercept)  2.209e+02  4.956e+00     44.58   <2e-16 ***
m$residuals -1.116e-17  5.249e-02 -2.13e-16        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 64.62 on 168 degrees of freedom
Multiple R-squared: 5.078e-31,	Adjusted R-squared: -0.005952 
F-statistic: 8.532e-29 on 1 and 168 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/5c00j1289555620.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 
-261.24  -51.99  -17.32   31.14  474.00 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)  0.27556    7.31062   0.038    0.970
Residuals   -0.06096    0.07733  -0.788    0.432

Residual standard error: 95.04 on 167 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.003708,	Adjusted R-squared: -0.002258 
F-statistic: 0.6215 on 1 and 167 DF,  p-value: 0.4316 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6n9hm1289555620.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7n9hm1289555620.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8n9hm1289555620.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9g1gp1289555620.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/10uaeg1289555620.tab") 
> 
> try(system("convert tmp/1y8ka1289555620.ps tmp/1y8ka1289555620.png",intern=TRUE))
character(0)
> try(system("convert tmp/2y8ka1289555620.ps tmp/2y8ka1289555620.png",intern=TRUE))
character(0)
> try(system("convert tmp/39zjv1289555620.ps tmp/39zjv1289555620.png",intern=TRUE))
character(0)
> try(system("convert tmp/4k91g1289555620.ps tmp/4k91g1289555620.png",intern=TRUE))
character(0)
> try(system("convert tmp/5c00j1289555620.ps tmp/5c00j1289555620.png",intern=TRUE))
character(0)
> try(system("convert tmp/6n9hm1289555620.ps tmp/6n9hm1289555620.png",intern=TRUE))
character(0)
> try(system("convert tmp/7n9hm1289555620.ps tmp/7n9hm1289555620.png",intern=TRUE))
character(0)
> try(system("convert tmp/8n9hm1289555620.ps tmp/8n9hm1289555620.png",intern=TRUE))
character(0)
> try(system("convert tmp/9g1gp1289555620.ps tmp/9g1gp1289555620.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.900   0.820   3.693