R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> y <- c(30,28,31,35,35,37,39,31,38,37,37,35,37,42,28,37,36,37,33,40,30,36,33,40,37,37,39,35,36,34,36,32,33,27,37,32,31,31,32,37,25,30,37,37,40,35,35,43,32,42,35,27,30,31,36,36,41,34,36,33,35,28,33,38,37,39,34,32,36,36,35,33,42,36,33,36,32,35,38,33,32,38,39,39,39,30,38,38,42,41,31,39,40,31,34,23,28,36,41,29,31,33,35,35,34,40,34,36,35,39,33,37,40,32,37,27,35,37,32,31,31,38,34,30,34,37,38,33,35,27,34,35,39,35,34,36,36,32,39,40,35,31,35,38,37,31,32,35,39,31,39,48,33,36,40,37,34,42,39,28,26,30,30,39,37,40,38,35,33,34,33,41,36,27,33,38,31,31,46,33,34,47,36,38,32,33,34,34,37,37,41,27,31,38,30,36,30,34,32,29,29,39,32,30,39,30,40,41,38,37,33,34,36,39,41,42,38,40,32,40,37,36,28,36,35,32,38,32,39,39,31,33,46,38,24,28,35,39,37,38,38,32,36,28,38,28,37,28,40,34,33,32,30,33,37,39,42,36,35,32,35,33,36,31,32,38,46,39,31,39,36,37,33,22,42,28,28,31,36,37,35,31,37,38,46,40,43,49,39,37,36,31,32,38,37,36,21,32,36,35,39,28,42,36,41,30,18,37,28,39,40,44,26,34,37,37,32,29,31,32,44,39,39,35,36,33,35,35,30,38)
> x <- c(34,33,29,34,32,35,41,27,40,40,36,40,43,40,33,37,32,26,36,39,38,34,35,41,42,36,39,33,33,36,37,36,34,32,35,39,30,25,29,39,31,26,28,40,32,35,32,41,34,36,38,34,32,34,32,40,43,35,45,36,39,31,36,36,37,40,35,36,32,36,37,42,37,36,36,33,37,35,37,28,33,45,38,43,37,36,40,39,43,32,37,34,44,35,34,37,40,36,44,35,34,40,34,39,36,40,37,35,45,39,39,37,38,46,37,27,33,42,33,33,33,38,37,35,33,39,38,39,38,30,43,34,39,36,32,37,42,40,35,39,34,28,30,36,31,34,33,37,40,39,42,47,38,38,40,37,29,37,37,33,31,36,37,39,35,33,37,42,31,32,36,32,40,32,30,37,42,37,47,37,31,41,44,40,37,33,35,40,38,36,36,35,30,37,43,33,39,38,40,29,35,37,26,28,38,29,35,38,39,44,33,35,42,30,36,40,39,36,37,37,37,36,30,32,35,42,41,35,33,39,34,39,41,34,30,29,33,40,32,37,37,36,41,34,38,40,42,32,40,38,35,34,38,24,39,42,44,35,37,34,41,33,42,30,30,40,49,39,29,39,35,35,34,24,47,24,30,34,41,32,32,35,37,40,45,35,39,46,33,40,35,38,36,34,30,44,37,36,37,34,43,31,34,38,38,34,26,36,35,37,40,43,29,30,36,38,43,41,31,36,44,35,42,31,38,34,40,41,30,43)
> par1 = '0'
> ylab = 'US'
> xlab = 'UC'
> par1 <- '0'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Linear Regression Graphical Model Validation (v1.0.7) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_linear_regression.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> 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 
-14.4441  -2.5354   0.4951   2.4951   9.4342 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 15.81818    1.72979   9.145   <2e-16 ***
x            0.53043    0.04736  11.200   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 3.844 on 328 degrees of freedom
Multiple R-squared:  0.2766,	Adjusted R-squared:  0.2744 
F-statistic: 125.4 on 1 and 328 DF,  p-value: < 2.2e-16

> postscript(file="/var/fisher/rcomp/tmp/1g6tx1381492768.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/2r5yz1381492768.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 
-6.868e-15 -2.040e-16  9.040e-17  3.389e-16  2.541e-14 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 1.582e+01  8.149e-16 1.941e+16   <2e-16 ***
x           5.304e-01  2.231e-17 2.377e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 1.811e-15 on 328 degrees of freedom
Multiple R-squared:      1,	Adjusted R-squared:      1 
F-statistic: 5.651e+32 on 1 and 328 DF,  p-value: < 2.2e-16

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3hisj1381492768.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-14.4441  -2.5354   0.4951   2.4951   9.4342 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  1.949e-16  1.730e+00       0        1
x           -7.908e-18  4.736e-02       0        1

Residual standard error: 3.844 on 328 degrees of freedom
Multiple R-squared:  5.767e-34,	Adjusted R-squared:  -0.003049 
F-statistic: 1.892e-31 on 1 and 328 DF,  p-value: 1

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/43ozw1381492768.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-6.4970 -1.7231 -0.1318  1.4595  6.7638 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 3.505e+01  1.309e-01   267.8   <2e-16 ***
m$residuals 2.826e-17  3.414e-02     0.0        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 2.377 on 328 degrees of freedom
Multiple R-squared:  2.724e-30,	Adjusted R-squared:  -0.003049 
F-statistic: 8.934e-28 on 1 and 328 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/50y631381492768.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 
-14.2574  -2.3894   0.4333   2.4665   9.3134 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)  0.01159    0.21151   0.055    0.956
Residuals    0.06280    0.05511   1.140    0.255

Residual standard error: 3.836 on 327 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared:  0.003955,	Adjusted R-squared:  0.0009093 
F-statistic: 1.299 on 1 and 327 DF,  p-value: 0.2553

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6faap1381492768.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/7yptj1381492768.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/8s2l01381492768.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/98zcu1381492768.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/10ko2f1381492769.tab") 
> 
> try(system("convert tmp/1g6tx1381492768.ps tmp/1g6tx1381492768.png",intern=TRUE))
character(0)
> try(system("convert tmp/2r5yz1381492768.ps tmp/2r5yz1381492768.png",intern=TRUE))
character(0)
> try(system("convert tmp/3hisj1381492768.ps tmp/3hisj1381492768.png",intern=TRUE))
character(0)
> try(system("convert tmp/43ozw1381492768.ps tmp/43ozw1381492768.png",intern=TRUE))
character(0)
> try(system("convert tmp/50y631381492768.ps tmp/50y631381492768.png",intern=TRUE))
character(0)
> try(system("convert tmp/6faap1381492768.ps tmp/6faap1381492768.png",intern=TRUE))
character(0)
> try(system("convert tmp/7yptj1381492768.ps tmp/7yptj1381492768.png",intern=TRUE))
character(0)
> try(system("convert tmp/8s2l01381492768.ps tmp/8s2l01381492768.png",intern=TRUE))
character(0)
> try(system("convert tmp/98zcu1381492768.ps tmp/98zcu1381492768.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.643   0.662   5.299