R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> y <- c(56,56,54,89,40,25,92,18,63,44,33,84,88,55,60,66,154,53,119,41,61,58,75,33,40,92,100,112,73,40,45,60,62,75,31,77,34,46,99,17,66,30,76,146,67,56,107,58,34,61,119,42,66,89,44,66,24,259,17,64,41,68,168,43,132,105,71,112,94,82,70,57,53,103,121,62,52,52,32,62,45,46,63,75,88,46,53,37,90,63,78,25,45,46,41,144,82,91,71,63,53,62,63,32,39,62,117,34,92,93,54,144,14,61,109,38,73,75,50,61,55,77,75,72,50,32,53,42,71,10,35,65,25,66,41,86,16,42,19,19,45,65,35,95,49,37,64,38,34,32,65,52,62,65,83,95,29,18,33,247,139,29,118,110,67,42,65,94,64,81,95,67,63,83,45,30,70,32,83,31,67,66,10,70,103,5,20,5,36,34,48,40,43,31,42,46,33,18,55,35,59,19,66,60,36,25,47,54,53,40,40,39,14,45,36,28,44,30,22,17,31,55,54,21,14,81,35,43,46,30,23,38,54,20,53,45,39,20,24,31,35,151,52,30,31,29,57,40,44,25,77,35,11,63,44,19,13,42,38,29,20,27,20,19,37,26,42,49,30,49,67,28,19,49,27,30,22,12,31,20,20,39,29,16,27,21,19,35,14)
> x <- c(210907
+ ,120982
+ ,176508
+ ,179321
+ ,123185
+ ,52746
+ ,385534
+ ,33170
+ ,101645
+ ,149061
+ ,165446
+ ,237213
+ ,173326
+ ,133131
+ ,258873
+ ,180083
+ ,324799
+ ,230964
+ ,236785
+ ,135473
+ ,202925
+ ,215147
+ ,344297
+ ,153935
+ ,132943
+ ,174724
+ ,174415
+ ,225548
+ ,223632
+ ,124817
+ ,221698
+ ,210767
+ ,170266
+ ,260561
+ ,84853
+ ,294424
+ ,101011
+ ,215641
+ ,325107
+ ,7176
+ ,167542
+ ,106408
+ ,96560
+ ,265769
+ ,269651
+ ,149112
+ ,175824
+ ,152871
+ ,111665
+ ,116408
+ ,362301
+ ,78800
+ ,183167
+ ,277965
+ ,150629
+ ,168809
+ ,24188
+ ,329267
+ ,65029
+ ,101097
+ ,218946
+ ,244052
+ ,341570
+ ,103597
+ ,233328
+ ,256462
+ ,206161
+ ,311473
+ ,235800
+ ,177939
+ ,207176
+ ,196553
+ ,174184
+ ,143246
+ ,187559
+ ,187681
+ ,119016
+ ,182192
+ ,73566
+ ,194979
+ ,167488
+ ,143756
+ ,275541
+ ,243199
+ ,182999
+ ,135649
+ ,152299
+ ,120221
+ ,346485
+ ,145790
+ ,193339
+ ,80953
+ ,122774
+ ,130585
+ ,112611
+ ,286468
+ ,241066
+ ,148446
+ ,204713
+ ,182079
+ ,140344
+ ,220516
+ ,243060
+ ,162765
+ ,182613
+ ,232138
+ ,265318
+ ,85574
+ ,310839
+ ,225060
+ ,232317
+ ,144966
+ ,43287
+ ,155754
+ ,164709
+ ,201940
+ ,235454
+ ,220801
+ ,99466
+ ,92661
+ ,133328
+ ,61361
+ ,125930
+ ,100750
+ ,224549
+ ,82316
+ ,102010
+ ,101523
+ ,243511
+ ,22938
+ ,41566
+ ,152474
+ ,61857
+ ,99923
+ ,132487
+ ,317394
+ ,21054
+ ,209641
+ ,22648
+ ,31414
+ ,46698
+ ,131698
+ ,91735
+ ,244749
+ ,184510
+ ,79863
+ ,128423
+ ,97839
+ ,38214
+ ,151101
+ ,272458
+ ,172494
+ ,108043
+ ,328107
+ ,250579
+ ,351067
+ ,158015
+ ,98866
+ ,85439
+ ,229242
+ ,351619
+ ,84207
+ ,120445
+ ,324598
+ ,131069
+ ,204271
+ ,165543
+ ,141722
+ ,116048
+ ,250047
+ ,299775
+ ,195838
+ ,173260
+ ,254488
+ ,104389
+ ,136084
+ ,199476
+ ,92499
+ ,224330
+ ,135781
+ ,74408
+ ,81240
+ ,14688
+ ,181633
+ ,271856
+ ,7199
+ ,46660
+ ,17547
+ ,133368
+ ,95227
+ ,152601
+ ,98146
+ ,79619
+ ,59194
+ ,139942
+ ,118612
+ ,72880
+ ,65475
+ ,99643
+ ,71965
+ ,77272
+ ,49289
+ ,135131
+ ,108446
+ ,89746
+ ,44296
+ ,77648
+ ,181528
+ ,134019
+ ,124064
+ ,92630
+ ,121848
+ ,52915
+ ,81872
+ ,58981
+ ,53515
+ ,60812
+ ,56375
+ ,65490
+ ,80949
+ ,76302
+ ,104011
+ ,98104
+ ,67989
+ ,30989
+ ,135458
+ ,73504
+ ,63123
+ ,61254
+ ,74914
+ ,31774
+ ,81437
+ ,87186
+ ,50090
+ ,65745
+ ,56653
+ ,158399
+ ,46455
+ ,73624
+ ,38395
+ ,91899
+ ,139526
+ ,52164
+ ,51567
+ ,70551
+ ,84856
+ ,102538
+ ,86678
+ ,85709
+ ,34662
+ ,150580
+ ,99611
+ ,19349
+ ,99373
+ ,86230
+ ,30837
+ ,31706
+ ,89806
+ ,62088
+ ,40151
+ ,27634
+ ,76990
+ ,37460
+ ,54157
+ ,49862
+ ,84337
+ ,64175
+ ,59382
+ ,119308
+ ,76702
+ ,103425
+ ,70344
+ ,43410
+ ,104838
+ ,62215
+ ,69304
+ ,53117
+ ,19764
+ ,86680
+ ,84105
+ ,77945
+ ,89113
+ ,91005
+ ,40248
+ ,64187
+ ,50857
+ ,56613
+ ,62792
+ ,72535)
> par1 = '0'
> 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 
-45.834 -12.006  -4.405   8.542 165.282 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 1.420e+01  2.724e+00   5.214 3.54e-07 ***
x           2.945e-04  1.695e-05  17.374  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 23.69 on 287 degrees of freedom
Multiple R-squared: 0.5126,	Adjusted R-squared: 0.5109 
F-statistic: 301.8 on 1 and 287 DF,  p-value: < 2.2e-16 

> postscript(file="/var/fisher/rcomp/tmp/1e5o71354452934.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/fisher/rcomp/tmp/2bqe91354452934.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 
-1.631e-14 -2.287e-15 -1.787e-16  1.771e-15  2.027e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.420e+01  4.840e-16 2.934e+16   <2e-16 ***
x           2.945e-04  3.012e-21 9.777e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 4.209e-15 on 287 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 9.56e+33 on 1 and 287 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3zo291354452934.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-45.834 -12.006  -4.405   8.542 165.282 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  3.922e-16  2.724e+00       0        1
x           -1.434e-21  1.695e-05       0        1

Residual standard error: 23.69 on 287 degrees of freedom
Multiple R-squared: 1.745e-34,	Adjusted R-squared: -0.003484 
F-statistic: 5.009e-32 on 1 and 287 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4w8ya1354452934.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-38.555 -18.605  -5.038  14.570  72.875 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 5.487e+01  1.429e+00    38.4   <2e-16 ***
m$residuals 4.560e-17  6.054e-02     0.0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 24.29 on 287 degrees of freedom
Multiple R-squared: 1.938e-32,	Adjusted R-squared: -0.003484 
F-statistic: 5.561e-30 on 1 and 287 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/fisher/rcomp/tmp/5u3z51354452934.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 
-46.504 -11.781  -4.463   8.599 165.455 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)  0.06773    1.39542   0.049    0.961
Residuals    0.03769    0.05910   0.638    0.524

Residual standard error: 23.68 on 286 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.00142,	Adjusted R-squared: -0.002072 
F-statistic: 0.4067 on 1 and 286 DF,  p-value: 0.5242 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/61uyg1354452934.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/771qk1354452935.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/8mt2d1354452935.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/9owcn1354452935.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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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/fisher/rcomp/tmp/10cbg11354452935.tab") 
> 
> try(system("convert tmp/1e5o71354452934.ps tmp/1e5o71354452934.png",intern=TRUE))
character(0)
> try(system("convert tmp/2bqe91354452934.ps tmp/2bqe91354452934.png",intern=TRUE))
character(0)
> try(system("convert tmp/3zo291354452934.ps tmp/3zo291354452934.png",intern=TRUE))
character(0)
> try(system("convert tmp/4w8ya1354452934.ps tmp/4w8ya1354452934.png",intern=TRUE))
character(0)
> try(system("convert tmp/5u3z51354452934.ps tmp/5u3z51354452934.png",intern=TRUE))
character(0)
> try(system("convert tmp/61uyg1354452934.ps tmp/61uyg1354452934.png",intern=TRUE))
character(0)
> try(system("convert tmp/771qk1354452935.ps tmp/771qk1354452935.png",intern=TRUE))
character(0)
> try(system("convert tmp/8mt2d1354452935.ps tmp/8mt2d1354452935.png",intern=TRUE))
character(0)
> try(system("convert tmp/9owcn1354452935.ps tmp/9owcn1354452935.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  5.266   1.180   6.443