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Description of Statistical Computation

Author's title

Task 3 - Q10 - inbreng in natura bij oprichting venn. en bij kapitaalverhog...

Author*The author of this computation has been verified*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationSun, 19 Oct 2008 09:30:53 -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/2008/Oct/19/t1224430500lf4zzjiygex1rtr.htm/, Retrieved Sat, 18 May 2024 17:52:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16916, Retrieved Sat, 18 May 2024 17:52:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [investigating Ass...] [2007-10-22 22:15:01] [8cd6641b921d30ebe00b648d1481bba0]
F    D    [Pearson Correlation] [Task 3 - Q10 - in...] [2008-10-19 15:30:53] [dafd615cb3e0decc017580d68ecea30a] [Current]
Feedback Forum
2008-10-27 08:38:34 [Jeroen Michel] [reply] 
Dezelfde opmerkingen moeten ook hier worden gemaakt (zie vergelijking 1 & 2). Er zijn outliers aanwezig, de correlatie is zéér klein. Ook hier de bedenking of het verstandig is om in de toekomst verder te werken met deze tijdreeksen.

zie ook:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Oct/19/t1224429115yq5r4te9n08y7po.htm , Retrieved Sun, 19 Oct 2008 15:12:03 +0000

&

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Oct/19/t1224429498mdfjzcjmrfoauha.htm , Retrieved Sun, 19 Oct 2008 15:18:52 +0000

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
878
346
321
116
182
189
243
270
122
138
35
456
3929
262
236
222
2010
566
122
43
477
1048
307
687
186
248
78
135
7
90
280
20
223
29
175
93
83
28
57
40
51
42
78
83
25
587
241
79
Dataseries Y:
Download CSV
Histogram 
31560
19327
1628
2237
307
2152
3414
3466
761
1902
358
354
6676
2963
449
6225
458
9768
3497
760
565
422
290
1324
7092
1051
2614
346
130
1040
1629
374
176
1547
171
906
5798
2391
164
743
921
5911
535
72
6734
1024
1210
249

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16916&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16916&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16916&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean336.7291666666672993.5625
Biased Variance388018.94748263928592000.9544271
Biased Standard Deviation622.9116690853045347.14886219068
Covariance665151.198138298
Correlation0.195536688885836
Determination0.0382345967004364
T-Test1.35229859672390
p-value (2 sided)0.182890879508657
p-value (1 sided)0.0914454397543283
Degrees of Freedom46
Number of Observations48

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 336.729166666667 & 2993.5625 \tabularnewline
Biased Variance & 388018.947482639 & 28592000.9544271 \tabularnewline
Biased Standard Deviation & 622.911669085304 & 5347.14886219068 \tabularnewline
Covariance & 665151.198138298 \tabularnewline
Correlation & 0.195536688885836 \tabularnewline
Determination & 0.0382345967004364 \tabularnewline
T-Test & 1.35229859672390 \tabularnewline
p-value (2 sided) & 0.182890879508657 \tabularnewline
p-value (1 sided) & 0.0914454397543283 \tabularnewline
Degrees of Freedom & 46 \tabularnewline
Number of Observations & 48 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16916&T=1

[TABLE]
[ROW][C]Pearson Product Moment Correlation - Ungrouped Data[/C][/ROW]
[ROW][C]Statistic[/C][C]Variable X[/C][C]Variable Y[/C][/ROW]
[ROW][C]Mean[/C][C]336.729166666667[/C][C]2993.5625[/C][/ROW]
[ROW][C]Biased Variance[/C][C]388018.947482639[/C][C]28592000.9544271[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]622.911669085304[/C][C]5347.14886219068[/C][/ROW]
[ROW][C]Covariance[/C][C]665151.198138298[/C][/ROW]
[ROW][C]Correlation[/C][C]0.195536688885836[/C][/ROW]
[ROW][C]Determination[/C][C]0.0382345967004364[/C][/ROW]
[ROW][C]T-Test[/C][C]1.35229859672390[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.182890879508657[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.0914454397543283[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]46[/C][/ROW]
[ROW][C]Number of Observations[/C][C]48[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16916&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16916&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:

Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean336.7291666666672993.5625
Biased Variance388018.94748263928592000.9544271
Biased Standard Deviation622.9116690853045347.14886219068
Covariance665151.198138298
Correlation0.195536688885836
Determination0.0382345967004364
T-Test1.35229859672390
p-value (2 sided)0.182890879508657
p-value (1 sided)0.0914454397543283
Degrees of Freedom46
Number of Observations48


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
bitmap(file='test1.png')
histx <- hist(x, plot=FALSE)
histy <- hist(y, plot=FALSE)
maxcounts <- max(c(histx$counts, histx$counts))
xrange <- c(min(x),max(x))
yrange <- c(min(y),max(y))
nf <- layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), c(3,1), c(1,3), TRUE)
par(mar=c(4,4,1,1))
plot(x, y, xlim=xrange, ylim=yrange, xlab=xlab, ylab=ylab)
par(mar=c(0,4,1,1))
barplot(histx$counts, axes=FALSE, ylim=c(0, maxcounts), space=0)
par(mar=c(4,0,1,1))
barplot(histy$counts, axes=FALSE, xlim=c(0, maxcounts), space=0, horiz=TRUE)
dev.off()
lx = length(x)
makebiased = (lx-1)/lx
varx = var(x)*makebiased
vary = var(y)*makebiased
corxy <- cor.test(x,y,method='pearson')
cxy <- as.matrix(corxy$estimate)[1,1]
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',1,TRUE)
a<-table.element(a,'Variable X',1,TRUE)
a<-table.element(a,'Variable Y',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm','Mean',''),header=TRUE)
a<-table.element(a,mean(x))
a<-table.element(a,mean(y))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('biased.htm','Biased Variance',''),header=TRUE)
a<-table.element(a,varx)
a<-table.element(a,vary)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('biased1.htm','Biased Standard Deviation',''),header=TRUE)
a<-table.element(a,sqrt(varx))
a<-table.element(a,sqrt(vary))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('covariance.htm','Covariance',''),header=TRUE)
a<-table.element(a,cov(x,y),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('pearson_correlation.htm','Correlation',''),header=TRUE)
a<-table.element(a,cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('coeff_of_determination.htm','Determination',''),header=TRUE)
a<-table.element(a,cxy*cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('ttest_statistic.htm','T-Test',''),header=TRUE)
a<-table.element(a,as.matrix(corxy$statistic)[1,1],2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (2 sided)',header=TRUE)
a<-table.element(a,(p2 <- as.matrix(corxy$p.value)[1,1]),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (1 sided)',header=TRUE)
a<-table.element(a,p2/2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degrees of Freedom',header=TRUE)
a<-table.element(a,lx-2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of Observations',header=TRUE)
a<-table.element(a,lx,2)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')