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Description of Statistical Computation

Author's title

Task 3 - Q10 - inbreng in contanten bij oprichting venn. als bij kapitaalsv...

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 09:22:39 -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/t1224429926ky971it88g1c1wq.htm/, Retrieved Sat, 18 May 2024 16:44:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16911, Retrieved Sat, 18 May 2024 16:44:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174

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 15:22:39] [dafd615cb3e0decc017580d68ecea30a] [Current]
Feedback Forum
2008-10-24 16:00:18 [Bob Leysen] [reply] 
Klein verband, met enkele outliers
2008-10-27 08:37:55 [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
2008-10-27 18:32:43 [Jens Peeters] [reply] 
Het is inderdaad zo dat bij al de verschillende tijdreeksen de correlatie zeer laag is. Daarom is het misschien best om andere tijdreeksen te nemen hoewel deze misschien interessante resultaten kunnen opleveren.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
209
169
325
293
93
297
2125
149
106
172
107
155
751
79
149
589
44
320
270
141
314
341
101
2053
81
46
73
44
33
115
70
58
68
62
160
65
101
80
80
74
70
102
65
87
81
155
111
37
Dataseries Y:
Download CSV
Histogram 
17501
2127
6187
5006
6005
5127
3022
2291
6084
8323
2338
1432
4019
3167
1292
4622
1631
4783
3417
4858
3057
16061
1533
11544
4115
850
501
1148
224
185
1083
478
815
1932
643
472
14367
920
997
2834
466
912
894
491
371
1422
343
1047

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=16911&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=16911&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16911&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
Mean234.7916666666673394.52083333333
Biased Variance168367.16493055616083714.6245660
Biased Standard Deviation410.3256815391354010.45067599216
Covariance501792.983156028
Correlation0.298579045746882
Determination0.089149446559119
T-Test2.12184999617309
p-value (2 sided)0.0392677213599435
p-value (1 sided)0.0196338606799717
Degrees of Freedom46
Number of Observations48

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 234.791666666667 & 3394.52083333333 \tabularnewline
Biased Variance & 168367.164930556 & 16083714.6245660 \tabularnewline
Biased Standard Deviation & 410.325681539135 & 4010.45067599216 \tabularnewline
Covariance & 501792.983156028 \tabularnewline
Correlation & 0.298579045746882 \tabularnewline
Determination & 0.089149446559119 \tabularnewline
T-Test & 2.12184999617309 \tabularnewline
p-value (2 sided) & 0.0392677213599435 \tabularnewline
p-value (1 sided) & 0.0196338606799717 \tabularnewline
Degrees of Freedom & 46 \tabularnewline
Number of Observations & 48 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16911&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]234.791666666667[/C][C]3394.52083333333[/C][/ROW]
[ROW][C]Biased Variance[/C][C]168367.164930556[/C][C]16083714.6245660[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]410.325681539135[/C][C]4010.45067599216[/C][/ROW]
[ROW][C]Covariance[/C][C]501792.983156028[/C][/ROW]
[ROW][C]Correlation[/C][C]0.298579045746882[/C][/ROW]
[ROW][C]Determination[/C][C]0.089149446559119[/C][/ROW]
[ROW][C]T-Test[/C][C]2.12184999617309[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.0392677213599435[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.0196338606799717[/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=16911&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16911&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
Mean234.7916666666673394.52083333333
Biased Variance168367.16493055616083714.6245660
Biased Standard Deviation410.3256815391354010.45067599216
Covariance501792.983156028
Correlation0.298579045746882
Determination0.089149446559119
T-Test2.12184999617309
p-value (2 sided)0.0392677213599435
p-value (1 sided)0.0196338606799717
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')