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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> y <- c(4290.89,4443.91,4502.64,4356.98,4591.27,4696.96,4621.4,4562.84,4202.52,4296.49,4435.23,4105.18,4116.68,3844.49,3720.98,3674.4,3857.62,3801.06,3504.37,3032.6,3047.03,2962.34,2197.82,2014.45,1862.83,1905.41,1810.99,1670.07,1864.44,2052.02,2029.6,2070.83,2293.41,2443.27,2513.17,2466.92,2502.66,2539.91,2482.6,2626.15,2656.32,2446.66,2467.38,2462.32,2504.58,2579.39,2649.24,2636.87,2613.94,2634.01,2711.94,2646.43,2717.79,2701.54,2572.98,2488.92,2204.91,2123.99,2149.1,2036.71)
> x <- c(-1,1,-1,2,2,1,-1,-2,-2,-1,-8,-4,-6,-3,-3,-7,-9,-11,-13,-11,-9,-17,-22,-25,-20,-24,-24,-22,-19,-18,-17,-11,-11,-12,-10,-15,-15,-15,-13,-8,-13,-9,-7,-4,-4,-2,0,-2,-3,1,-2,-1,1,-3,-4,-9,-9,-7,-14,-12)
> 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 
-1082.51  -660.01   -52.03   686.11  1432.55 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  3637.20     137.47  26.457  < 2e-16 ***
x              79.32      12.29   6.455  2.4e-08 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 698 on 58 degrees of freedom
Multiple R-squared: 0.4181,	Adjusted R-squared: 0.408 
F-statistic: 41.67 on 1 and 58 DF,  p-value: 2.395e-08 

> postscript(file="/var/fisher/rcomp/tmp/1777e1355651602.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/276qx1355651602.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 
-2.394e-13 -1.376e-13 -2.590e-15  1.218e-13  4.534e-13 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 3.637e+03  2.818e-14 1.291e+17   <2e-16 ***
x           7.932e+01  2.519e-15 3.149e+16   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.431e-13 on 58 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 9.915e+32 on 1 and 58 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3eivb1355651602.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-1082.51  -660.01   -52.03   686.11  1432.55 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) 6.726e-14  1.375e+02       0        1
x           3.985e-15  1.229e+01       0        1

Residual standard error: 698 on 58 degrees of freedom
Multiple R-squared: 2.547e-33,	Adjusted R-squared: -0.01724 
F-statistic: 1.477e-31 on 1 and 58 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4i7q81355651603.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-1312.67  -360.88    35.69   511.58   828.84 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 2.967e+03  7.638e+01   38.85   <2e-16 ***
m$residuals 2.985e-17  1.113e-01    0.00        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 591.6 on 58 degrees of freedom
Multiple R-squared: 1.019e-30,	Adjusted R-squared: -0.01724 
F-statistic: 5.909e-29 on 1 and 58 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/5w1uz1355651603.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 
-520.7 -237.6  -18.8  220.8  788.1 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) -22.34954   38.68342  -0.578    0.566    
Residuals     0.90275    0.05632  16.029   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 297.1 on 57 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.8184,	Adjusted R-squared: 0.8152 
F-statistic: 256.9 on 1 and 57 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6ikt31355651603.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/7sug51355651603.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/80gao1355651603.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/9y2wm1355651603.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/105snf1355651603.tab") 
> 
> try(system("convert tmp/1777e1355651602.ps tmp/1777e1355651602.png",intern=TRUE))
character(0)
> try(system("convert tmp/276qx1355651602.ps tmp/276qx1355651602.png",intern=TRUE))
character(0)
> try(system("convert tmp/3eivb1355651602.ps tmp/3eivb1355651602.png",intern=TRUE))
character(0)
> try(system("convert tmp/4i7q81355651603.ps tmp/4i7q81355651603.png",intern=TRUE))
character(0)
> try(system("convert tmp/5w1uz1355651603.ps tmp/5w1uz1355651603.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ikt31355651603.ps tmp/6ikt31355651603.png",intern=TRUE))
character(0)
> try(system("convert tmp/7sug51355651603.ps tmp/7sug51355651603.png",intern=TRUE))
character(0)
> try(system("convert tmp/80gao1355651603.ps tmp/80gao1355651603.png",intern=TRUE))
character(0)
> try(system("convert tmp/9y2wm1355651603.ps tmp/9y2wm1355651603.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.983   1.317   6.334