R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> y <- c(25695,19967,14338,34117,9713,10024,39981,1271,30207,18035,21609,19836,9028,21750,10038,30276,34972,19954,28113,18830,37144,17916,16186,19195,29124,29813,20270,26105,9155,18113,40546,10096,32338,2871,36592,4914,30190,18153,12558,32894,24138,16628,26369,14171,8500,11940,7935,19456,21347,24095,26204,2694,20366,3597,5296,29463,35838,42590,38665,19442,25515,51318,11807,24130,34053,22641,18898,24539,21664,21577,16643,3007,18798,24648,20286,23999,26813,14718,16963,16673,14646,31772,9648,23096,7905,4527,37432,21082,30437,36288,12369,23774,8108,15049,36021,30391,30910,40656,35070,47250,36236,29601,10443,7409,18213,40856,36471,26077,24797,6816,25527,22139,238,24459,3913,9895,25902,338,12937,3988,23370,24015,3870,14648,1888,16768,33400,23770,34762,18793,48186,20140,8728,19060,26880,415,38902,17375,31360,15051,16785,15886,28548,2805,34012,19215,34177,32990,0,2065,0,0,0,0,17428,19912,0,0,556,2089,2658,1801,0,16541)
> x <- c(124252
+ ,98956
+ ,98073
+ ,106816
+ ,41449
+ ,76173
+ ,177551
+ ,22807
+ ,126938
+ ,61680
+ ,72117
+ ,79738
+ ,57793
+ ,91677
+ ,64631
+ ,106385
+ ,161961
+ ,112669
+ ,114029
+ ,124550
+ ,105416
+ ,72875
+ ,81964
+ ,104880
+ ,76302
+ ,96740
+ ,93071
+ ,78912
+ ,35224
+ ,90694
+ ,125369
+ ,80849
+ ,104434
+ ,65702
+ ,108179
+ ,63583
+ ,95066
+ ,62486
+ ,31081
+ ,94584
+ ,87408
+ ,68966
+ ,88766
+ ,57139
+ ,90586
+ ,109249
+ ,33032
+ ,96056
+ ,146648
+ ,80613
+ ,87026
+ ,5950
+ ,131106
+ ,32551
+ ,31701
+ ,91072
+ ,159803
+ ,143950
+ ,112368
+ ,82124
+ ,144068
+ ,162627
+ ,55062
+ ,95329
+ ,105612
+ ,62853
+ ,125976
+ ,79146
+ ,108461
+ ,99971
+ ,77826
+ ,22618
+ ,84892
+ ,92059
+ ,77993
+ ,104155
+ ,109840
+ ,238712
+ ,67486
+ ,68007
+ ,48194
+ ,134796
+ ,38692
+ ,93587
+ ,56622
+ ,15986
+ ,113402
+ ,97967
+ ,74844
+ ,136051
+ ,50548
+ ,112215
+ ,59591
+ ,59938
+ ,137639
+ ,143372
+ ,138599
+ ,174110
+ ,135062
+ ,175681
+ ,130307
+ ,139141
+ ,44244
+ ,43750
+ ,48029
+ ,95216
+ ,92288
+ ,94588
+ ,197426
+ ,151244
+ ,139206
+ ,106271
+ ,1168
+ ,71764
+ ,25162
+ ,45635
+ ,101817
+ ,855
+ ,100174
+ ,14116
+ ,85008
+ ,124254
+ ,105793
+ ,117129
+ ,8773
+ ,94747
+ ,107549
+ ,97392
+ ,126893
+ ,118850
+ ,234853
+ ,74783
+ ,66089
+ ,95684
+ ,139537
+ ,144253
+ ,153824
+ ,63995
+ ,84891
+ ,61263
+ ,106221
+ ,113587
+ ,113864
+ ,37238
+ ,119906
+ ,135096
+ ,151611
+ ,144645
+ ,0
+ ,6023
+ ,0
+ ,0
+ ,0
+ ,0
+ ,77457
+ ,62464
+ ,0
+ ,0
+ ,1644
+ ,6179
+ ,3926
+ ,42087
+ ,0
+ ,87656)
> 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 
-34587  -3133   -436   4125  19544 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 2.737e+03  1.283e+03   2.134   0.0344 *  
x           1.951e-01  1.296e-02  15.056   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 7850 on 162 degrees of freedom
Multiple R-squared: 0.5832,	Adjusted R-squared: 0.5806 
F-statistic: 226.7 on 1 and 162 DF,  p-value: < 2.2e-16 

> postscript(file="/var/wessaorg/rcomp/tmp/1rtsw1323284653.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/wessaorg/rcomp/tmp/2w3sb1323284653.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 
-5.019e-12 -8.148e-13 -5.630e-14  8.485e-13  1.091e-11 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.737e+03  2.660e-13 1.029e+16   <2e-16 ***
x           1.951e-01  2.687e-18 7.261e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.628e-12 on 162 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 5.273e+33 on 1 and 162 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3et241323284653.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
   Min     1Q Median     3Q    Max 
-34587  -3133   -436   4125  19544 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.597e-14  1.283e+03       0        1
x           3.855e-19  1.296e-02       0        1

Residual standard error: 7850 on 162 degrees of freedom
Multiple R-squared: 1.045e-34,	Adjusted R-squared: -0.006173 
F-statistic: 1.692e-32 on 1 and 162 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4sgkw1323284653.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-16963.8  -5287.9    861.8   5208.6  29604.9 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 1.970e+04  7.252e+02   27.17   <2e-16 ***
m$residuals 1.438e-17  9.294e-02    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 9287 on 162 degrees of freedom
Multiple R-squared: 1.942e-31,	Adjusted R-squared: -0.006173 
F-statistic: 3.146e-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/wessaorg/rcomp/tmp/5kz0y1323284654.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 
-34754  -3091   -534   4055  19169 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept)   6.63860  615.62747   0.011    0.991
Residuals     0.06041    0.07870   0.768    0.444

Residual standard error: 7860 on 161 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.003645,	Adjusted R-squared: -0.002543 
F-statistic: 0.5891 on 1 and 161 DF,  p-value: 0.4439 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6qytn1323284654.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7tgf41323284654.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8oyqg1323284654.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/9sicp1323284654.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/10m4001323284654.tab") 
> 
> try(system("convert tmp/1rtsw1323284653.ps tmp/1rtsw1323284653.png",intern=TRUE))
character(0)
> try(system("convert tmp/2w3sb1323284653.ps tmp/2w3sb1323284653.png",intern=TRUE))
character(0)
> try(system("convert tmp/3et241323284653.ps tmp/3et241323284653.png",intern=TRUE))
character(0)
> try(system("convert tmp/4sgkw1323284653.ps tmp/4sgkw1323284653.png",intern=TRUE))
character(0)
> try(system("convert tmp/5kz0y1323284654.ps tmp/5kz0y1323284654.png",intern=TRUE))
character(0)
> try(system("convert tmp/6qytn1323284654.ps tmp/6qytn1323284654.png",intern=TRUE))
character(0)
> try(system("convert tmp/7tgf41323284654.ps tmp/7tgf41323284654.png",intern=TRUE))
character(0)
> try(system("convert tmp/8oyqg1323284654.ps tmp/8oyqg1323284654.png",intern=TRUE))
character(0)
> try(system("convert tmp/9sicp1323284654.ps tmp/9sicp1323284654.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.583   0.442   3.255