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Type 'q()' to quit R. > y <- c(1744799 + ,1659093 + ,2099821 + ,2135736 + ,2427894 + ,2468882 + ,2703217 + ,2766841 + ,2655236 + ,2550373 + ,2052097 + ,1998055 + ,1920748 + ,1876694 + ,2380930 + ,2467402 + ,2770771 + ,2781340 + ,3143926 + ,3172235 + ,2952540 + ,2920877 + ,2384552 + ,2248987 + ,2208616 + ,2178756 + ,2632870 + ,2706905 + ,3029745 + ,3015402 + ,3391414 + ,3507805 + ,3177852 + ,3142961 + ,2545815 + ,2414007 + ,2372578 + ,2332664 + ,2825328 + ,2901478 + ,3263955 + ,3226738 + ,3610786 + ,3709274 + ,3467185 + ,3449646 + ,2802951 + ,2462530 + ,2490645 + ,2561520 + ,3067554 + ,3226951 + ,3546493 + ,3492787 + ,3952263 + ,3932072 + ,3720284 + ,3651555 + ,2914972 + ,2713514 + ,2703997 + ,2591373 + ,3163748 + ,3355137 + ,3613702 + ,3686773 + ,4098716 + ,4063517 + ,3551489 + ,3226663 + ,2656842 + ,2597484 + ,2572399 + ,2596631 + ,3165225 + ,3303145 + ,3698247 + ,3668631 + ,4130433 + ,4131400 + ,3864358 + ,3721110 + ,2892532 + ,2843451 + ,2747502 + ,2668775 + ,3018602 + ,3013392 + ,3393657 + ,3544233 + ,4075832 + ,4032923 + ,3734509 + ,3761285 + ,2970090 + ,2847849 + ,2741680 + ,2830639 + ,3257673 + ,3480085 + ,3843271 + ,3796961 + ,4337767 + ,4243630 + ,3927202 + ,3915296 + ,3087396 + ,2963792 + ,2955792 + ,2829925 + ,3281195 + ,3548011 + ,4059648 + ,3941175 + ,4528594 + ,4433151 + ,4145737 + ,4077132 + ,3198519 + ,3078660 + ,3028202 + ,2858642 + ,3398954 + ,3808883 + ,4175961 + ,4227542 + ,4744616 + ,4608012 + ,4295049 + ,4201144 + ,3353276 + ,3286851 + ,3169889 + ,3051720 + ,3695426 + ,3905501 + ,4296458 + ,4246247 + ,4921849 + ,4821446 + ,4425064 + ,4379099 + ,3472889 + ,3359160 + ,3200944 + ,3153170 + ,3741498 + ,3918719 + ,4403449 + ,4400407 + ,4847473 + ,4716136 + ,4297440 + ,4272253 + ,3271834 + ,3168388 + ,2911748 + ,2720999 + ,3199918 + ,3672623 + ,3892013 + ,3850845 + ,4532467 + ,4484739 + ,4014972 + ,3983758 + ,3158459 + ,3100569 + ,2935404 + ,2855719 + ,3465611 + ,3006985 + ,4095110 + ,4104793 + ,4730788 + ,4642726 + ,4246919 + ,4308117) > x <- c(79.14 + ,79.45 + ,80.18 + ,80.42 + ,80.23 + ,79.89 + ,80.11 + ,80.01 + ,80.74 + ,80.93 + ,80.84 + ,80.76 + ,80.88 + ,81.04 + ,81.65 + ,81.73 + ,81.91 + ,81.51 + ,81.8 + ,82.02 + ,82.76 + ,82.84 + ,82.88 + ,82.63 + ,82.36 + ,82.82 + ,83.51 + ,83.71 + ,83.63 + ,83.28 + ,83.46 + ,83.46 + ,84.16 + ,84.35 + ,84.34 + ,84.1 + ,84.16 + ,84.58 + ,85.31 + ,85.49 + ,85.52 + ,85.19 + ,85.13 + ,85.61 + ,86.01 + ,86.08 + ,86.19 + ,85.91 + ,85.77 + ,86.24 + ,86.92 + ,87.07 + ,87.33 + ,87.27 + ,87.11 + ,87.46 + ,88.43 + ,88.59 + ,88.6 + ,88.14 + ,88.96 + ,89.7 + ,90.47 + ,90.97 + ,91.27 + ,90.94 + ,90.88 + ,91.19 + ,92.23 + ,92.14 + ,92.04 + ,91.8 + ,92.54 + ,93.01 + ,93.75 + ,94.18 + ,94.21 + ,93.91 + ,93.87 + ,94.14 + ,95.1 + ,94.87 + ,94.6 + ,94.32 + ,94.72 + ,95.28 + ,96.11 + ,96.19 + ,96.13 + ,95.72 + ,95.86 + ,96.14 + ,97.02 + ,96.75 + ,96.5 + ,95.92 + ,96.01 + ,96.39 + ,97.16 + ,97.46 + ,97.6 + ,97.02 + ,96.95 + ,97.23 + ,98 + ,98.04 + ,97.76 + ,96.99 + ,97.44 + ,98 + ,98.84 + ,98.98 + ,98.92 + ,98.63 + ,98.52 + ,98.97 + ,99.74 + ,99.68 + ,99.45 + ,98.97 + ,98.68 + ,99.06 + ,99.84 + ,100.3 + ,100.38 + ,100.02 + ,99.83 + ,100.36 + ,100.74 + ,100.49 + ,100.33 + ,99.96 + ,100.08 + ,100.54 + ,101.63 + ,102.12 + ,102.19 + ,101.77 + ,101.29 + ,101.47 + ,102.07 + ,102.11 + ,102.26 + ,101.83 + ,102.11 + ,102.8 + ,103.82 + ,104.2 + ,104.57 + ,104.38 + ,104.54 + ,104.74 + ,105.19 + ,104.95 + ,104.57 + ,103.81 + ,104.08 + ,104.81 + ,105.86 + ,106.1 + ,106.24 + ,105.87 + ,104.74 + ,105.03 + ,105.59 + ,105.69 + ,105.58 + ,104.96 + ,104.93 + ,105.68 + ,106.93 + ,107.29 + ,107.25 + ,106.74 + ,106.44 + ,106.6 + ,107.26 + ,107.35) > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > library(lattice) > z <- as.data.frame(cbind(x,y)) > m <- lm(y~x) > summary(m) Call: lm(formula = y ~ x) Residuals: Min 1Q Median 3Q Max -1227446 -470330 7042 467797 1168477 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1859965 456022 -4.079 6.85e-05 *** x 55418 4826 11.482 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 547500 on 176 degrees of freedom Multiple R-squared: 0.4283, Adjusted R-squared: 0.425 F-statistic: 131.8 on 1 and 176 DF, p-value: < 2.2e-16 > postscript(file="/var/www/html/freestat/rcomp/tmp/11o6y1291983881.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(z,main='Scatterplot, lowess, and regression line') > lines(lowess(z),col='red') > abline(m) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/21o6y1291983881.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > m2 <- lm(m$fitted.values ~ x) > summary(m2) Call: lm(formula = m$fitted.values ~ x) Residuals: Min 1Q Median 3Q Max -4.020e-10 -1.089e-10 -9.116e-12 9.865e-11 3.047e-10 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.860e+06 1.179e-10 -1.578e+16 <2e-16 *** x 5.542e+04 1.248e-12 4.442e+16 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.415e-10 on 176 degrees of freedom Multiple R-squared: 1, Adjusted R-squared: 1 F-statistic: 1.973e+33 on 1 and 176 DF, p-value: < 2.2e-16 > z2 <- as.data.frame(cbind(x,m$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/html/freestat/rcomp/tmp/3uf5j1291983881.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 -1227446 -470330 7042 467797 1168477 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.813e-11 4.560e+05 -6.17e-17 1 x 2.110e-13 4.826e+03 4.37e-17 1 Residual standard error: 547500 on 176 degrees of freedom Multiple R-squared: 3.094e-34, Adjusted R-squared: -0.005682 F-statistic: 5.446e-32 on 1 and 176 DF, p-value: 1 > z3 <- as.data.frame(cbind(x,m$residuals)) > names(z3) <- list('x','Residuals') > plot(z3,main='Scatterplot, lowess, and regression line') > lines(lowess(z3),col='red') > abline(m3) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/4m65m1291983881.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > m4 <- lm(m$fitted.values ~ m$residuals) > summary(m4) Call: lm(formula = m$fitted.values ~ m$residuals) Residuals: Min 1Q Median 3Q Max -829082 -459718 103334 365186 734273 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 3.355e+06 3.552e+04 94.45 <2e-16 *** m$residuals -1.434e-17 6.524e-02 -2.2e-16 1 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 473900 on 176 degrees of freedom Multiple R-squared: 7.9e-31, Adjusted R-squared: -0.005682 F-statistic: 1.39e-28 on 1 and 176 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/html/freestat/rcomp/tmp/5xym71291983881.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > myr <- as.ts(m$residuals) > z5 <- as.data.frame(cbind(lag(myr,1),myr)) > names(z5) <- list('Lagged Residuals','Residuals') > plot(z5,main='Lag plot') > m5 <- lm(z5) > summary(m5) Call: lm(formula = z5) Residuals: Min 1Q Median 3Q Max -916798 -207544 37570 198186 853014 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 5.384e+03 2.520e+04 0.214 0.831 Residuals 7.850e-01 4.617e-02 17.003 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 335200 on 175 degrees of freedom (2 observations deleted due to missingness) Multiple R-squared: 0.6229, Adjusted R-squared: 0.6208 F-statistic: 289.1 on 1 and 175 DF, p-value: < 2.2e-16 > abline(m5) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/6xym71291983881.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(m$residuals,main='Residual Histogram',xlab='Residuals') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/7q73s1291983881.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/www/html/freestat/rcomp/tmp/8q73s1291983881.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > acf(m$residuals,main='Residual Autocorrelation Function') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/91ykd1291983881.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > qqnorm(x) > qqline(x) > grid() > dev.off() null device 1 > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Simple Linear Regression',5,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Statistics',1,TRUE) > a<-table.element(a,'Estimate',1,TRUE) > a<-table.element(a,'S.D.',1,TRUE) > a<-table.element(a,'T-STAT (H0: coeff=0)',1,TRUE) > a<-table.element(a,'P-value (two-sided)',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'constant term',header=TRUE) > a<-table.element(a,m$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/html/freestat/rcomp/tmp/10e80l1291983881.tab") > try(system("convert tmp/11o6y1291983881.ps tmp/11o6y1291983881.png",intern=TRUE)) character(0) > try(system("convert tmp/21o6y1291983881.ps tmp/21o6y1291983881.png",intern=TRUE)) character(0) > try(system("convert tmp/3uf5j1291983881.ps tmp/3uf5j1291983881.png",intern=TRUE)) character(0) > try(system("convert tmp/4m65m1291983881.ps tmp/4m65m1291983881.png",intern=TRUE)) character(0) > try(system("convert tmp/5xym71291983881.ps tmp/5xym71291983881.png",intern=TRUE)) character(0) > try(system("convert tmp/6xym71291983881.ps tmp/6xym71291983881.png",intern=TRUE)) character(0) > try(system("convert tmp/7q73s1291983881.ps tmp/7q73s1291983881.png",intern=TRUE)) character(0) > try(system("convert tmp/8q73s1291983881.ps tmp/8q73s1291983881.png",intern=TRUE)) character(0) > try(system("convert tmp/91ykd1291983881.ps tmp/91ykd1291983881.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.054 2.234 3.306