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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_correlation.wasp

Title produced by software

Pearson Correlation

Date of computation

Sun, 19 Oct 2008 08:36:18 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/19/t1224427022vtterjw4122ja2i.htm/, Retrieved Sat, 18 May 2024 17:38:18 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16877, Retrieved Sat, 18 May 2024 17:38:18 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

157

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 22:08:56] [8cd6641b921d30ebe00b648d1481bba0]
F R PD  [Pearson Correlation] [werkloosheid] [2008-10-19 14:21:48] [d2d412c7f4d35ffbf5ee5ee89db327d4]
F    D    [Pearson Correlation] [werkloosheid] [2008-10-19 14:27:27] [d2d412c7f4d35ffbf5ee5ee89db327d4]
F    D        [Pearson Correlation] [werkloosheid] [2008-10-19 14:36:18] [f6a332ba2d530c028d935c5a5bbb53af] [Current]

Feedback Forum

2008-10-25 13:38:36 [Stijn Van de Velde] [reply] 
Ook hier weer dezelfde uitleg. Aangezien de totale werkloze bevolking, voor het grootste deel bestaat uit werkloze die ouder dan 25 jaar zijn, kan het niet anders dan dat zo zeer hoog positief met elkaar geassocieerd worden.

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Dataseries X:

Download CSV

Histogram

Boxplots

7.4
7.2
7.1
6.9
6.8
6.8
6.8
6.9
6.7
6.6
6.5
6.4
6.3
6.3
6.3
6.5
6.6
6.5
6.4
6.5
6.7
7.1
7.1
7.2
7.2
7.3
7.3
7.3
7.3
7.4
7.6
7.6
7.6
7.7
7.8
7.9
8.1
8.1
8.1
8.2
8.2
8.2
8.2
8.2
8.2
8.3
8.3
8.4
8.4
8.4
8.3
8
8
8.2
8.6
8.7
8.7
8.5
8.4
8.4
8.4
8.5
8.5
8.5
8.5
8.5
8.4
8.4
8.4
8.5
8.6
8.6
8.6
8.6
8.5
8.4
8.4
8.3
8.2
8.1
8.2
8.1
8
7.9
7.8
7.7
7.7
7.9
7.8
7.6
7.4
7.3
7.1
7.1
7
7
7
6.9
6.8
6.7
6.6
6.6

Dataseries Y:

Download CSV

Histogram

6.3
6.2
6.1
5.9
5.8
5.7
5.7
5.7
5.5
5.5
5.5
5.4
5.3
5.3
5.3
5.4
5.4
5.4
5.4
5.4
5.5
5.7
5.8
5.9
6
6.1
6.1
6.1
6.2
6.3
6.6
6.6
6.5
6.5
6.6
6.6
6.6
6.6
6.6
6.8
6.8
6.7
6.7
6.7
6.7
6.8
6.8
6.9
7
7
7
6.8
6.8
6.9
7.1
7.2
7.2
7
7
7
7
7.1
7.1
7.1
7.1
7.1
7.1
7.1
7.1
7.1
7.1
7.1
7.2
7.2
7.2
7.1
7.1
7.1
6.9
6.8
6.8
6.8
6.7
6.7
6.6
6.6
6.5
6.5
6.4
6.3
6.2
6.2
6.1
6
6
6
6
5.9
5.8
5.8
5.7
5.7

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=16877&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=16877&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16877&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Pearson Product Moment Correlation - Ungrouped Data
Statistic	Variable X	Variable Y
Mean	7.66470588235294	6.42156862745098
Biased Variance	0.534244521337947	0.348946559015763
Biased Standard Deviation	0.73092032489044	0.590716987241575
Covariance	0.429679673849738
Correlation	0.985408974184917
Determination	0.971030846404171
T-Test	57.8960067024468
p-value (2 sided)	0
p-value (1 sided)	0
Degrees of Freedom	100
Number of Observations	102

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 7.66470588235294 & 6.42156862745098 \tabularnewline
Biased Variance & 0.534244521337947 & 0.348946559015763 \tabularnewline
Biased Standard Deviation & 0.73092032489044 & 0.590716987241575 \tabularnewline
Covariance & 0.429679673849738 \tabularnewline
Correlation & 0.985408974184917 \tabularnewline
Determination & 0.971030846404171 \tabularnewline
T-Test & 57.8960067024468 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 100 \tabularnewline
Number of Observations & 102 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16877&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]7.66470588235294[/C][C]6.42156862745098[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.534244521337947[/C][C]0.348946559015763[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.73092032489044[/C][C]0.590716987241575[/C][/ROW]
[ROW][C]Covariance[/C][C]0.429679673849738[/C][/ROW]
[ROW][C]Correlation[/C][C]0.985408974184917[/C][/ROW]
[ROW][C]Determination[/C][C]0.971030846404171[/C][/ROW]
[ROW][C]T-Test[/C][C]57.8960067024468[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]100[/C][/ROW]
[ROW][C]Number of Observations[/C][C]102[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16877&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16877&T=1

As an alternative you can also use a QR Code:

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

Pearson Product Moment Correlation - Ungrouped Data
Statistic	Variable X	Variable Y
Mean	7.66470588235294	6.42156862745098
Biased Variance	0.534244521337947	0.348946559015763
Biased Standard Deviation	0.73092032489044	0.590716987241575
Covariance	0.429679673849738
Correlation	0.985408974184917
Determination	0.971030846404171
T-Test	57.8960067024468
p-value (2 sided)	0
p-value (1 sided)	0
Degrees of Freedom	100
Number of Observations	102

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Totaal ; par5 = Metalen prod ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code