R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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 'demo()' for some demos, 'help()' for on-line help, or
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Type 'q()' to quit R.

> y <- c(279055
+ ,209884
+ ,233939
+ ,222117
+ ,179751
+ ,70849
+ ,568125
+ ,33186
+ ,227332
+ ,258874
+ ,351915
+ ,260484
+ ,204003
+ ,368577
+ ,269455
+ ,395936
+ ,335567
+ ,423110
+ ,182016
+ ,267365
+ ,279428
+ ,508849
+ ,206722
+ ,200004
+ ,257139
+ ,270815
+ ,296850
+ ,307100
+ ,184160
+ ,393860
+ ,327660
+ ,252512
+ ,373013
+ ,115602
+ ,430118
+ ,273950
+ ,428077
+ ,251349
+ ,115658
+ ,388812
+ ,343783
+ ,207021
+ ,214344
+ ,182398
+ ,157164
+ ,459455
+ ,78800
+ ,217932
+ ,368086
+ ,215843
+ ,244765
+ ,24188
+ ,399093
+ ,65029
+ ,101097
+ ,300488
+ ,369627
+ ,367127
+ ,374193
+ ,270099
+ ,391871
+ ,315924
+ ,291391
+ ,295075
+ ,276201
+ ,267432
+ ,215924
+ ,256641
+ ,260919
+ ,182961
+ ,256967
+ ,73566
+ ,272362
+ ,220707
+ ,228835
+ ,371391
+ ,398210
+ ,220401
+ ,229333
+ ,217623
+ ,200046
+ ,483074
+ ,145943
+ ,295224
+ ,80953
+ ,180759
+ ,179344
+ ,415550
+ ,369093
+ ,180679
+ ,299505
+ ,292260
+ ,199481
+ ,282361
+ ,329281
+ ,234577
+ ,297995
+ ,305984
+ ,416463
+ ,414359
+ ,297080
+ ,318283
+ ,222281
+ ,43287
+ ,223456
+ ,258249
+ ,299566
+ ,321797
+ ,174736
+ ,169579
+ ,354041
+ ,303273
+ ,23668
+ ,196743
+ ,61857
+ ,207339
+ ,431443
+ ,21054
+ ,252805
+ ,31961
+ ,360401
+ ,251240
+ ,187003
+ ,180842
+ ,38214
+ ,278173
+ ,358276
+ ,211775
+ ,445926
+ ,348017
+ ,441946
+ ,210700
+ ,126320
+ ,316128
+ ,466139
+ ,162279
+ ,412099
+ ,173802
+ ,292443
+ ,283913
+ ,243609
+ ,387072
+ ,246963
+ ,173260
+ ,346748
+ ,176654
+ ,264767
+ ,314070
+ ,1
+ ,14688
+ ,98
+ ,455
+ ,0
+ ,0
+ ,284420
+ ,410509
+ ,0
+ ,203
+ ,7199
+ ,46660
+ ,17547
+ ,121550
+ ,969
+ ,242258)
> x <- c(140824
+ ,110459
+ ,105079
+ ,112098
+ ,43929
+ ,76173
+ ,187326
+ ,22807
+ ,144408
+ ,66485
+ ,79089
+ ,81625
+ ,68788
+ ,103297
+ ,69446
+ ,114948
+ ,167949
+ ,125081
+ ,125818
+ ,136588
+ ,112431
+ ,103037
+ ,82317
+ ,118906
+ ,83515
+ ,104581
+ ,103129
+ ,83243
+ ,37110
+ ,113344
+ ,139165
+ ,86652
+ ,112302
+ ,69652
+ ,119442
+ ,69867
+ ,101629
+ ,70168
+ ,31081
+ ,103925
+ ,92622
+ ,79011
+ ,93487
+ ,64520
+ ,93473
+ ,114360
+ ,33032
+ ,96125
+ ,151911
+ ,89256
+ ,95676
+ ,5950
+ ,149695
+ ,32551
+ ,31701
+ ,100087
+ ,169707
+ ,150491
+ ,120192
+ ,95893
+ ,151715
+ ,176225
+ ,59900
+ ,104767
+ ,114799
+ ,72128
+ ,143592
+ ,89626
+ ,131072
+ ,126817
+ ,81351
+ ,22618
+ ,88977
+ ,92059
+ ,81897
+ ,108146
+ ,126372
+ ,249771
+ ,71154
+ ,71571
+ ,55918
+ ,160141
+ ,38692
+ ,102812
+ ,56622
+ ,15986
+ ,123534
+ ,108535
+ ,93879
+ ,144551
+ ,56750
+ ,127654
+ ,65594
+ ,59938
+ ,146975
+ ,165904
+ ,169265
+ ,183500
+ ,165986
+ ,184923
+ ,140358
+ ,149959
+ ,57224
+ ,43750
+ ,48029
+ ,104978
+ ,100046
+ ,101047
+ ,197426
+ ,160902
+ ,147172
+ ,109432
+ ,1168
+ ,83248
+ ,25162
+ ,45724
+ ,110529
+ ,855
+ ,101382
+ ,14116
+ ,89506
+ ,135356
+ ,116066
+ ,144244
+ ,8773
+ ,102153
+ ,117440
+ ,104128
+ ,134238
+ ,134047
+ ,279488
+ ,79756
+ ,66089
+ ,102070
+ ,146760
+ ,154771
+ ,165933
+ ,64593
+ ,92280
+ ,67150
+ ,128692
+ ,124089
+ ,125386
+ ,37238
+ ,140015
+ ,150047
+ ,154451
+ ,156349
+ ,0
+ ,6023
+ ,0
+ ,0
+ ,0
+ ,0
+ ,84601
+ ,68946
+ ,0
+ ,0
+ ,1644
+ ,6179
+ ,3926
+ ,52789
+ ,0
+ ,100350)
> 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 
-284517  -65100   -1196   53796  250874 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 8.457e+04  1.438e+04   5.881 2.27e-08 ***
x           1.683e+00  1.329e-01  12.667  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 88500 on 162 degrees of freedom
Multiple R-squared: 0.4976,	Adjusted R-squared: 0.4945 
F-statistic: 160.5 on 1 and 162 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/rcomp/tmp/15si91324585689.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/www/rcomp/tmp/2k1ra1324585689.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 
-3.305e-11 -1.159e-11  5.760e-13  1.016e-11  5.411e-11 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 8.457e+04  2.765e-12 3.059e+16   <2e-16 ***
x           1.683e+00  2.554e-17 6.589e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.701e-11 on 162 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 4.342e+33 on 1 and 162 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3zplz1324585689.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-284517  -65100   -1196   53796  250874 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  5.207e-13  1.438e+04       0        1
x           -1.218e-17  1.329e-01       0        1

Residual standard error: 88500 on 162 degrees of freedom
Multiple R-squared: 9.794e-35,	Adjusted R-squared: -0.006173 
F-statistic: 1.587e-32 on 1 and 162 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4nhgi1324585689.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-159748  -49779    8913   55522  310612 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 2.443e+05  6.878e+03   35.52   <2e-16 ***
m$residuals 3.807e-17  7.819e-02    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 88080 on 162 degrees of freedom
Multiple R-squared: 1.429e-31,	Adjusted R-squared: -0.006173 
F-statistic: 2.315e-29 on 1 and 162 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/5mro01324585689.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 
-279887  -67583    1796   52994  250883 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  264.14662 6940.45373   0.038    0.970
Residuals     -0.04848    0.07867  -0.616    0.539

Residual standard error: 88610 on 161 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.002354,	Adjusted R-squared: -0.003843 
F-statistic: 0.3798 on 1 and 161 DF,  p-value: 0.5386 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6m21b1324585689.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/734931324585689.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8h9km1324585689.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/912vm1324585689.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/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/104mx41324585689.tab") 
> 
> try(system("convert tmp/15si91324585689.ps tmp/15si91324585689.png",intern=TRUE))
character(0)
> try(system("convert tmp/2k1ra1324585689.ps tmp/2k1ra1324585689.png",intern=TRUE))
character(0)
> try(system("convert tmp/3zplz1324585689.ps tmp/3zplz1324585689.png",intern=TRUE))
character(0)
> try(system("convert tmp/4nhgi1324585689.ps tmp/4nhgi1324585689.png",intern=TRUE))
character(0)
> try(system("convert tmp/5mro01324585689.ps tmp/5mro01324585689.png",intern=TRUE))
character(0)
> try(system("convert tmp/6m21b1324585689.ps tmp/6m21b1324585689.png",intern=TRUE))
character(0)
> try(system("convert tmp/734931324585689.ps tmp/734931324585689.png",intern=TRUE))
character(0)
> try(system("convert tmp/8h9km1324585689.ps tmp/8h9km1324585689.png",intern=TRUE))
character(0)
> try(system("convert tmp/912vm1324585689.ps tmp/912vm1324585689.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.390   0.220   3.624