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(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
+ ,95671
+ ,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
+ ,143372
+ ,168553
+ ,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)
> x <- c(165,135,121,148,73,49,185,5,125,93,154,98,70,148,100,150,197,114,169,200,148,140,74,128,140,116,147,132,70,144,155,165,161,31,199,78,121,112,41,158,123,104,94,73,52,71,21,155,174,136,128,7,165,21,35,137,174,257,207,103,171,279,83,130,131,126,158,138,200,104,111,26,115,127,140,121,183,68,112,103,63,166,38,163,59,27,108,88,92,170,98,205,96,107,150,123,176,213,208,307,125,208,73,49,82,206,112,139,60,70,112,142,11,130,31,132,219,4,102,39,125,121,42,111,16,70,162,173,171,172,254,90,50,113,187,16,175,90,140,145,141,125,241,16,175,132,154,198,0,5,0,0,0,0,125,174,0,0,6,13,3,35,0,80)
> 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 
-63138 -23086  -7081  14429 182764 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 25260.07    5311.32   4.756 4.34e-06 ***
x             613.93      40.75  15.064  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 33670 on 162 degrees of freedom
Multiple R-squared: 0.5835,	Adjusted R-squared: 0.5809 
F-statistic: 226.9 on 1 and 162 DF,  p-value: < 2.2e-16 

> postscript(file="/var/wessaorg/rcomp/tmp/1lnu41324140705.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/26lce1324140705.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 
-3.725e-11 -4.873e-12  2.000e-14  3.720e-12  7.454e-11 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.526e+04  1.563e-12 1.616e+16   <2e-16 ***
x           6.139e+02  1.199e-14 5.120e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 9.907e-12 on 162 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 2.622e+33 on 1 and 162 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3rbtt1324140705.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
   Min     1Q Median     3Q    Max 
-63138 -23086  -7081  14429 182764 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  8.653e-13  5.311e+03       0        1
x           -3.578e-15  4.075e+01       0        1

Residual standard error: 33670 on 162 degrees of freedom
Multiple R-squared: 9.111e-35,	Adjusted R-squared: -0.006173 
F-statistic: 1.476e-32 on 1 and 162 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4ti911324140705.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
   Min     1Q Median     3Q    Max 
-69520 -26545   4765  26100 118957 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  9.478e+04  3.112e+03   30.46   <2e-16 ***
m$residuals -3.042e-17  9.299e-02    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 39850 on 162 degrees of freedom
Multiple R-squared: 1.926e-31,	Adjusted R-squared: -0.006173 
F-statistic: 3.12e-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/5oybo1324140705.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 
-60027 -20465  -8383  14312 185107 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)   
(Intercept)  -55.06624 2588.77549  -0.021  0.98306   
Residuals      0.20363    0.07726   2.635  0.00922 **
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 33050 on 161 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.04136,	Adjusted R-squared: 0.0354 
F-statistic: 6.946 on 1 and 161 DF,  p-value: 0.009224 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6ydqb1324140705.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7xig21324140705.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/8ol991324140705.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/994ef1324140705.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/10pquh1324140705.tab") 
> 
> try(system("convert tmp/1lnu41324140705.ps tmp/1lnu41324140705.png",intern=TRUE))
character(0)
> try(system("convert tmp/26lce1324140705.ps tmp/26lce1324140705.png",intern=TRUE))
character(0)
> try(system("convert tmp/3rbtt1324140705.ps tmp/3rbtt1324140705.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ti911324140705.ps tmp/4ti911324140705.png",intern=TRUE))
character(0)
> try(system("convert tmp/5oybo1324140705.ps tmp/5oybo1324140705.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ydqb1324140705.ps tmp/6ydqb1324140705.png",intern=TRUE))
character(0)
> try(system("convert tmp/7xig21324140705.ps tmp/7xig21324140705.png",intern=TRUE))
character(0)
> try(system("convert tmp/8ol991324140705.ps tmp/8ol991324140705.png",intern=TRUE))
character(0)
> try(system("convert tmp/994ef1324140705.ps tmp/994ef1324140705.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.527   0.514   3.058