## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_edabi.wasp
Title produced by softwareBivariate Explorative Data Analysis
Date of computationFri, 11 Nov 2011 11:29:11 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/11/t132102904574qt82x565p2fxb.htm/, Retrieved Fri, 14 Jun 2024 17:42:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141381, Retrieved Fri, 14 Jun 2024 17:42:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Explorative Data Analysis] [Bivariate EDA] [2011-11-11 16:29:11] [614dd89c388120cee0dd25886939832b] [Current]
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Dataseries X:
60635408600.00
64463389370.00
66750859382.00
69032584255.95
72841303906.58
72838685607.53
75887977453.76
78936158549.66
81986612544.38
85038924238.38
87328862789.67
85794984680.72
88082838620.17
91885510657.40
96355573323.80
101321342608.80
105791395836.80
113241494103.00
117215849652.80
120940898880.60
125658810316.50
130873880200.80
139583536623.40
148226520849.00
153789461350.00
161871513310.40
171781295610.40
178996585758.20
176620960002.00
186604680395.00
187772917033.20
193109744878.60
197630528464.00
206483683756.40
203906590621.60
206783719069.34
206759082201.76
211878483671.40
214009149959.00
217203709135.40
222331811922.60
232825724880.00
241180274038.70
248494123822.10
253049202253.08
256922518700.16
254451243638.75
262662316800.94
268926171539.67
272037080259.13
281118338865.04
286389613939.39
296190694318.91
307294826961.69
309697986635.60
314369521231.48
317533640477.42
327005697520.69
332458473876.00
339794119726.27
Dataseries Y:
79717000
82855667
79346667
76270333
89532667
83541333
82456000
85818333
92106667
96873333
96580000
87769000
88396000
90995667
92785000
98112667
105779667
103660333
105435000
105204000
107466333
118554333
123614333
125620000
121524333
130830333
138871333
135215667
122096333
130005333
126566000
134808667
138761333
133778333
122598667
116446000
100745333
104419333
103477000
102054333
102446667
99528000
106549667
107587333
117091333
114029667
109721333
114697000
115063667
121234667
118393000
121308000
117579000
117414000
117740333
109417000
116442333
113311000
109391333
107198667

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141381&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141381&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141381&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Herman Ole Andreas Wold' @ wold.wessa.net

 Model: Y[t] = c + b X[t] + e[t] c 89495224.5619257 b 0.000104467340847496

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 89495224.5619257 \tabularnewline
b & 0.000104467340847496 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141381&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]89495224.5619257[/C][/ROW]
[ROW][C]b[/C][C]0.000104467340847496[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141381&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141381&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Model: Y[t] = c + b X[t] + e[t] c 89495224.5619257 b 0.000104467340847496

 Descriptive Statistics about e[t] # observations 60 minimum -20436542.0709755 Q1 -10281479.1761824 median -2692019.18408406 mean -6.67963225472098e-10 Q3 5261680.01693045 maximum 31430573.2783183

\begin{tabular}{lllllllll}
\hline
# observations & 60 \tabularnewline
minimum & -20436542.0709755 \tabularnewline
Q1 & -10281479.1761824 \tabularnewline
median & -2692019.18408406 \tabularnewline
mean & -6.67963225472098e-10 \tabularnewline
Q3 & 5261680.01693045 \tabularnewline
maximum & 31430573.2783183 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141381&T=2

[TABLE]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-20436542.0709755[/C][/ROW]
[ROW][C]Q1[/C][C]-10281479.1761824[/C][/ROW]
[ROW][C]median[/C][C]-2692019.18408406[/C][/ROW]
[ROW][C]mean[/C][C]-6.67963225472098e-10[/C][/ROW]
[ROW][C]Q3[/C][C]5261680.01693045[/C][/ROW]
[ROW][C]maximum[/C][C]31430573.2783183[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141381&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141381&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Descriptive Statistics about e[t] # observations 60 minimum -20436542.0709755 Q1 -10281479.1761824 median -2692019.18408406 mean -6.67963225472098e-10 Q3 5261680.01693045 maximum 31430573.2783183

par1 <- as.numeric(par1)par2 <- as.numeric(par2)x <- as.ts(x)y <- as.ts(y)mylm <- lm(y~x)cbind(mylm$resid)library(lattice)bitmap(file='pic1.png')plot(y,type='l',main='Run Sequence Plot of Y[t]',xlab='time or index',ylab='value')grid()dev.off()bitmap(file='pic1a.png')plot(x,type='l',main='Run Sequence Plot of X[t]',xlab='time or index',ylab='value')grid()dev.off()bitmap(file='pic1b.png')plot(x,y,main='Scatter Plot',xlab='X[t]',ylab='Y[t]')grid()dev.off()bitmap(file='pic1c.png')plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')grid()dev.off()bitmap(file='pic2.png')hist(mylm$resid,main='Histogram of e[t]')dev.off()bitmap(file='pic3.png')if (par1 > 0){densityplot(~mylm$resid,col='black',main=paste('Density Plot of e[t]   bw = ',par1),bw=par1)} else {densityplot(~mylm$resid,col='black',main='Density Plot of e[t]')}dev.off()bitmap(file='pic4.png')qqnorm(mylm$resid,main='QQ plot of e[t]')qqline(mylm$resid)grid()dev.off()if (par2 > 0){bitmap(file='pic5.png')acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')grid()dev.off()}summary(x)load(file='createtable')a<-table.start()a<-table.row.start(a)a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'c',1,TRUE)a<-table.element(a,mylm$coeff[[1]])a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'b',1,TRUE)a<-table.element(a,mylm$coeff[[2]])a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable.tab')a<-table.start()a<-table.row.start(a)a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'# observations',header=TRUE)a<-table.element(a,length(mylm$resid))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'minimum',header=TRUE)a<-table.element(a,min(mylm$resid))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Q1',header=TRUE)a<-table.element(a,quantile(mylm$resid,0.25))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'median',header=TRUE)a<-table.element(a,median(mylm$resid))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'mean',header=TRUE)a<-table.element(a,mean(mylm$resid))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Q3',header=TRUE)a<-table.element(a,quantile(mylm$resid,0.75))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'maximum',header=TRUE)a<-table.element(a,max(mylm\$resid))a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable.tab')