R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> y <- c(2518.41
+ ,2527.73
+ ,2521.10
+ ,2502.89
+ ,2514.94
+ ,2480.65
+ ,2514.87
+ ,2543.41
+ ,2558.77
+ ,2592.56
+ ,2582.96
+ ,2611.03
+ ,2600.83
+ ,2606.31
+ ,2634.16
+ ,2613.52
+ ,2625.28
+ ,2608.80
+ ,2631.57
+ ,2665.62
+ ,2654.85
+ ,2639.28
+ ,2634.45
+ ,2649.34
+ ,2649.70
+ ,2672.10
+ ,2656.93
+ ,2665.40
+ ,2656.12
+ ,2648.46
+ ,2680.56
+ ,2696.66
+ ,2696.96
+ ,2668.62
+ ,2702.87
+ ,2714.81
+ ,2708.98
+ ,2716.70
+ ,2715.16
+ ,2687.36
+ ,2667.96
+ ,2681.07
+ ,2660.86
+ ,2630.94
+ ,2644.14
+ ,2656.28
+ ,2567.68
+ ,2506.19
+ ,2561.69
+ ,2560.99
+ ,2572.46
+ ,2504.25
+ ,2446.22
+ ,2400.78
+ ,2296.81
+ ,2511.98
+ ,2483.53
+ ,2540.36
+ ,2534.85
+ ,2447.17
+ ,2439.07
+ ,2485.24
+ ,2432.85
+ ,2386.49
+ ,2395.65
+ ,2402.45
+ ,2329.79
+ ,2386.45
+ ,2469.56
+ ,2460.54
+ ,2453.37
+ ,2466.00
+ ,2464.25
+ ,2484.27
+ ,2429.67
+ ,2412.05
+ ,2390.89
+ ,2425.68
+ ,2463.32
+ ,2463.85
+ ,2498.24
+ ,2509.31
+ ,2513.80
+ ,2523.36
+ ,2528.93
+ ,2549.84
+ ,2536.22
+ ,2494.34
+ ,2455.80
+ ,2441.65
+ ,2461.96
+ ,2382.48
+ ,2386.53
+ ,2336.12
+ ,2337.29
+ ,2329.60
+ ,2389.28
+ ,2415.81
+ ,2455.99
+ ,2462.75
+ ,2470.27
+ ,2516.26
+ ,2522.12
+ ,2495.05
+ ,2442.75
+ ,2431.56
+ ,2417.34
+ ,2451.93
+ ,2501.41
+ ,2506.07
+ ,2531.75
+ ,2557.43
+ ,2545.08
+ ,2537.90
+ ,2517.30
+ ,2579.35
+ ,2588.92
+ ,2587.82
+ ,2586.09
+ ,2549.82
+ ,2571.02
+ ,2561.71
+ ,2495.93
+ ,2505.90
+ ,2485.70
+ ,2469.46
+ ,2518.34
+ ,2512.61
+ ,2474.08
+ ,2452.32
+ ,2469.08
+ ,2435.96
+ ,2424.00
+ ,2446.63
+ ,2467.55
+ ,2460.93
+ ,2457.46
+ ,2531.76
+ ,2537.76
+ ,2549.96
+ ,2560.24
+ ,2538.91
+ ,2556.00
+ ,2577.46
+ ,2569.72
+ ,2610.81
+ ,2608.85
+ ,2603.51
+ ,2585.29
+ ,2569.22
+ ,2601.85
+ ,2604.33
+ ,2575.16
+ ,2570.39
+ ,2601.61
+ ,2597.73
+ ,2603.50
+ ,2602.69
+ ,2589.73
+ ,2579.39
+ ,2558.82
+ ,2595.93
+ ,2613.44
+ ,2604.03
+ ,2622.78
+ ,2635.10
+ ,2620.82
+ ,2670.38
+ ,2662.91
+ ,2658.78
+ ,2672.38
+ ,2666.15
+ ,2669.27
+ ,2691.78
+ ,2691.53
+ ,2698.64
+ ,2692.74
+ ,2672.71
+ ,2677.40
+ ,2679.07
+ ,2688.39
+ ,2696.69
+ ,2663.84
+ ,2710.41
+ ,2686.09
+ ,2683.42
+ ,2702.84
+ ,2672.25
+ ,2631.64
+ ,2624.97
+ ,2654.43
+ ,2608.06)
> x <- c(35.18
+ ,35.24
+ ,35.00
+ ,35.50
+ ,36.32
+ ,36.04
+ ,36.71
+ ,36.70
+ ,36.17
+ ,36.50
+ ,36.94
+ ,36.42
+ ,36.40
+ ,36.68
+ ,36.54
+ ,36.36
+ ,36.23
+ ,36.39
+ ,36.44
+ ,36.43
+ ,36.47
+ ,36.42
+ ,36.44
+ ,36.44
+ ,36.51
+ ,36.51
+ ,36.26
+ ,36.41
+ ,36.19
+ ,36.45
+ ,36.38
+ ,36.70
+ ,36.69
+ ,37.00
+ ,37.20
+ ,37.28
+ ,37.18
+ ,37.13
+ ,36.87
+ ,36.88
+ ,36.85
+ ,36.87
+ ,37.40
+ ,37.21
+ ,37.40
+ ,36.94
+ ,36.66
+ ,36.59
+ ,37.15
+ ,37.00
+ ,36.47
+ ,36.51
+ ,36.17
+ ,36.62
+ ,35.97
+ ,36.48
+ ,36.34
+ ,37.05
+ ,37.11
+ ,36.92
+ ,36.89
+ ,36.94
+ ,37.19
+ ,36.78
+ ,36.25
+ ,36.67
+ ,36.84
+ ,36.54
+ ,37.09
+ ,37.02
+ ,37.04
+ ,37.47
+ ,37.36
+ ,37.38
+ ,37.18
+ ,37.19
+ ,37.35
+ ,37.33
+ ,37.98
+ ,37.72
+ ,37.75
+ ,37.94
+ ,37.82
+ ,38.07
+ ,38.00
+ ,38.00
+ ,38.00
+ ,37.94
+ ,38.24
+ ,38.52
+ ,38.82
+ ,38.73
+ ,38.58
+ ,37.67
+ ,37.79
+ ,37.65
+ ,38.23
+ ,38.10
+ ,38.46
+ ,38.18
+ ,38.38
+ ,38.78
+ ,38.99
+ ,38.90
+ ,38.88
+ ,38.82
+ ,38.84
+ ,39.16
+ ,39.34
+ ,39.92
+ ,39.54
+ ,38.64
+ ,38.47
+ ,38.01
+ ,37.81
+ ,38.20
+ ,38.31
+ ,38.41
+ ,38.46
+ ,38.59
+ ,38.71
+ ,38.90
+ ,38.65
+ ,38.95
+ ,38.84
+ ,38.97
+ ,39.20
+ ,39.01
+ ,38.78
+ ,38.80
+ ,39.60
+ ,39.42
+ ,39.32
+ ,39.28
+ ,39.49
+ ,39.12
+ ,39.08
+ ,39.45
+ ,39.73
+ ,39.44
+ ,39.34
+ ,39.40
+ ,39.52
+ ,39.60
+ ,39.42
+ ,39.30
+ ,39.43
+ ,39.75
+ ,39.23
+ ,39.39
+ ,39.63
+ ,39.56
+ ,39.31
+ ,39.48
+ ,39.65
+ ,39.27
+ ,38.71
+ ,38.66
+ ,38.78
+ ,38.83
+ ,38.82
+ ,38.62
+ ,38.39
+ ,38.57
+ ,38.60
+ ,38.11
+ ,38.16
+ ,38.40
+ ,39.18
+ ,39.03
+ ,39.12
+ ,39.22
+ ,39.39
+ ,39.77
+ ,39.65
+ ,39.81
+ ,39.79
+ ,40.32
+ ,40.33
+ ,40.48
+ ,41.12
+ ,41.24
+ ,40.82
+ ,41.06
+ ,40.29
+ ,40.18
+ ,39.91
+ ,39.81
+ ,40.25
+ ,39.93
+ ,39.90
+ ,39.95)
> 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 
-233.1829  -78.5844   -0.3714   92.1980  174.7102 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 2112.064    196.636  10.741   <2e-16 ***
x             11.619      5.162   2.251   0.0255 *  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 96.44 on 190 degrees of freedom
Multiple R-squared: 0.02597,	Adjusted R-squared: 0.02085 
F-statistic: 5.067 on 1 and 190 DF,  p-value: 0.02553 

> postscript(file="/var/www/rcomp/tmp/1gtz41289940208.ps",horizontal=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/2gtz41289940208.ps",horizontal=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 
-5.314e-12 -6.508e-14  3.827e-14  1.240e-13  3.139e-13 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.112e+03  8.383e-13 2.520e+15   <2e-16 ***
x           1.162e+01  2.200e-14 5.280e+14   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 4.111e-13 on 190 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 2.788e+29 on 1 and 190 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3q3h71289940208.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
      Min        1Q    Median        3Q       Max 
-233.1829  -78.5844   -0.3714   92.1980  174.7102 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept)  1.630e-14  1.966e+02  8.29e-17        1
x           -3.861e-16  5.162e+00 -7.48e-17        1

Residual standard error: 96.44 on 190 degrees of freedom
Multiple R-squared: 5.447e-34,	Adjusted R-squared: -0.005263 
F-statistic: 1.035e-31 on 1 and 190 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4jcya1289940208.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-35.684 -13.957   1.147  13.173  36.817 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)    
(Intercept)  2.554e+03  1.137e+00      2248   <2e-16 ***
m$residuals -1.212e-16  1.185e-02 -1.02e-14        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 15.75 on 190 degrees of freedom
Multiple R-squared: 4.389e-28,	Adjusted R-squared: -0.005263 
F-statistic: 8.338e-26 on 1 and 190 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/5u3fv1289940208.ps",horizontal=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 
-104.6047  -15.5429    0.8684   19.3816  195.4052 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   0.1694     2.3655   0.072    0.943    
Residuals     0.9414     0.0246  38.266   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 32.69 on 189 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.8857,	Adjusted R-squared: 0.8851 
F-statistic:  1464 on 1 and 189 DF,  p-value: < 2.2e-16 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6u3fv1289940208.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7mdfg1289940208.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8mdfg1289940208.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9f4e11289940208.ps",horizontal=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/10tvts1289940208.tab") 
> 
> try(system("convert tmp/1gtz41289940208.ps tmp/1gtz41289940208.png",intern=TRUE))
character(0)
> try(system("convert tmp/2gtz41289940208.ps tmp/2gtz41289940208.png",intern=TRUE))
character(0)
> try(system("convert tmp/3q3h71289940208.ps tmp/3q3h71289940208.png",intern=TRUE))
character(0)
> try(system("convert tmp/4jcya1289940208.ps tmp/4jcya1289940208.png",intern=TRUE))
character(0)
> try(system("convert tmp/5u3fv1289940208.ps tmp/5u3fv1289940208.png",intern=TRUE))
character(0)
> try(system("convert tmp/6u3fv1289940208.ps tmp/6u3fv1289940208.png",intern=TRUE))
character(0)
> try(system("convert tmp/7mdfg1289940208.ps tmp/7mdfg1289940208.png",intern=TRUE))
character(0)
> try(system("convert tmp/8mdfg1289940208.ps tmp/8mdfg1289940208.png",intern=TRUE))
character(0)
> try(system("convert tmp/9f4e11289940208.ps tmp/9f4e11289940208.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   3.03    1.80    4.85