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Description of Statistical Computation

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 computationWed, 28 Oct 2009 11:11:58 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/28/t1256750062lx06lezcslprzrf.htm/, Retrieved Sun, 05 May 2024 22:18:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51597, Retrieved Sun, 05 May 2024 22:18:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSHWWS4Deel2 Model2
Estimated Impact151

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Explorative Data Analysis] [Bivariate EDA wer...] [2009-10-27 18:39:55] [4395c69e961f9a13a0559fd2f0a72538]
-    D  [Bivariate Explorative Data Analysis] [Bivariate EDA lnY...] [2009-10-27 19:01:52] [4395c69e961f9a13a0559fd2f0a72538]
-    D      [Bivariate Explorative Data Analysis] [Bivariate EDA Wer...] [2009-10-28 17:11:58] [d1081bd6cdf1fed9ed45c42dbd523bf1] [Current]
-    D        [Bivariate Explorative Data Analysis] [Bivariate EDA Wer...] [2009-10-28 17:39:05] [4395c69e961f9a13a0559fd2f0a72538]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,066862759
2,208274414
2,240709689
2,240709689
2,208274414
2,197224577
2,2300144
2,292534757
2,282382386
2,2300144
2,116255515
2,079441542
2,140066163
2,341805806
2,406945108
2,388762789
2,302585093
2,219203484
2,219203484
2,251291799
2,261763098
2,251291799
2,208274414
2,186051277
2,197224577
2,312535424
2,332143895
2,32238772
2,261763098
2,219203484
2,2300144
2,240709689
2,240709689
2,219203484
2,197224577
2,197224577
2,197224577
2,282382386
2,302585093
2,282382386
2,2300144
2,197224577
2,197224577
2,208274414
2,208274414
2,208274414
2,219203484
2,174751721
2,116255515
2,128231706
2,091864062
2,041220329
2,066862759
2,066862759
2,079441542
2,066862759
2,028148247
1,960094784
1,916922612
1,871802177
1,931521412
2,104134154
2,163323026
2,116255515
2,066862759
2,014903021
2,054123734
2,116255515
2,128231706
2,104134154
2,041220329
1,974081026
1,987874348
Dataseries Y:
Download CSV
Histogram 
1.987874348
2.028148247
2.014903021
2.028148247
2.066862759
2.066862759
2.091864062
2.104134154
2.079441542
2.014903021
1.916922612
1.871802177
1.887069649
2.028148247
2.079441542
2.091864062
2.041220329
2.014903021
2.028148247
2.054123734
2.054123734
2.054123734
2.014903021
2.014903021
1.960094784
2.014903021
2.014903021
2.028148247
2.041220329
2.041220329
2.066862759
2.091864062
2.104134154
2.104134154
2.104134154
2.066862759
1.987874348
1.931521412
1.887069649
1.902107526
1.931521412
1.945910149
1.960094784
1.974081026
1.960094784
1.931521412
1.945910149
1.916922612
1.85629799
1.902107526
1.887069649
1.85629799
1.840549633
1.824549292
1.871802177
1.916922612
1.916922612
1.85629799
1.808288771
1.757857918
1.808288771
1.974081026
1.987874348
1.931521412
1.808288771
1.757857918
1.824549292
1.960094784
2.041220329
2.066862759
2.041220329
2.00148
2.014903021

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51597&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51597&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51597&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Model: Y[t] = c + b X[t] + e[t]
c0.788204808742322
b0.54593104709948

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 0.788204808742322 \tabularnewline
b & 0.54593104709948 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51597&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]0.788204808742322[/C][/ROW]
[ROW][C]b[/C][C]0.54593104709948[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51597&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51597&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Model: Y[t] = c + b X[t] + e[t]
c0.788204808742322
b0.54593104709948






Descriptive Statistics about e[t]
# observations73
minimum-0.158187850599465
Q1-0.0464915463263319
median-0.000440517413366061
mean-4.23284409805985e-19
Q30.0371640553266796
maximum0.141455887951842

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 73 \tabularnewline
minimum & -0.158187850599465 \tabularnewline
Q1 & -0.0464915463263319 \tabularnewline
median & -0.000440517413366061 \tabularnewline
mean & -4.23284409805985e-19 \tabularnewline
Q3 & 0.0371640553266796 \tabularnewline
maximum & 0.141455887951842 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51597&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]73[/C][/ROW]
[ROW][C]minimum[/C][C]-0.158187850599465[/C][/ROW]
[ROW][C]Q1[/C][C]-0.0464915463263319[/C][/ROW]
[ROW][C]median[/C][C]-0.000440517413366061[/C][/ROW]
[ROW][C]mean[/C][C]-4.23284409805985e-19[/C][/ROW]
[ROW][C]Q3[/C][C]0.0371640553266796[/C][/ROW]
[ROW][C]maximum[/C][C]0.141455887951842[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51597&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51597&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Descriptive Statistics about e[t]
# observations73
minimum-0.158187850599465
Q1-0.0464915463263319
median-0.000440517413366061
mean-4.23284409805985e-19
Q30.0371640553266796
maximum0.141455887951842


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 36 ;
Parameters (R input):
par1 = 0 ; par2 = 36 ;
R code (references can be found in the software module):
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')