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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationWed, 28 Oct 2009 09:47:20 -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/t1256744889pmmtjv8qn6lbcmn.htm/, Retrieved Sun, 05 May 2024 20:52:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51461, Retrieved Sun, 05 May 2024 20:52:45 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Correlatie deel 2.2] [2009-10-28 15:47:20] [29af64a72952b0c5025d716b5179273f] [Current]
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Dataseries X:
17,25
16,64
15,11
13,04
12,17
12,45
15,41
16,64
16,94
15,72
15,11
15,41
16,02
16,02
16,02
15,11
15,11
13,92
15,11
15,11
15,41
15,72
15,72
16,33
16,94
17,25
17,25
17,25
16,33
14,51
13,33
12,45
12,74
13,33
13,62
13,92
14,21
13,92
13,33
13,62
13,04
11,88
12,74
12,45
11,88
11,60
11,31
12,17
13,04
13,04
11,88
11,03
10,20
11,03
14,21
14,51
13,33
11,03
10,20
11,31
Dataseries Y:
22,70
22,37
20,74
17,56
16,64
18,19
24,35
26,72
26,04
23,03
20,42
20,42
21,39
21,71
21,39
20,10
19,46
19,78
23,36
24,02
23,69
21,71
20,42
20,74
21,06
21,06
20,42
19,78
19,78
19,78
22,37
23,03
22,37
20,74
19,78
19,78
20,10
20,10
20,10
20,42
19,14
17,56
17,88
16,94
15,72
16,33
16,33
16,64
16,33
15,41
13,92
13,04
12,17
13,33
17,25
18,82
17,56
16,33
15,11
16,02




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=51461&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=51461&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51461&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean14.056166666666719.4908333333333
Biased Variance3.852586972222229.58619097222222
Biased Standard Deviation1.962800797896273.09615745275046
Covariance4.74356257062147
Correlation0.767549036199391
Determination0.589131522970614
T-Test9.11945146584531
p-value (2 sided)8.42881320295419e-13
p-value (1 sided)4.21440660147709e-13
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 14.0561666666667 & 19.4908333333333 \tabularnewline
Biased Variance & 3.85258697222222 & 9.58619097222222 \tabularnewline
Biased Standard Deviation & 1.96280079789627 & 3.09615745275046 \tabularnewline
Covariance & 4.74356257062147 \tabularnewline
Correlation & 0.767549036199391 \tabularnewline
Determination & 0.589131522970614 \tabularnewline
T-Test & 9.11945146584531 \tabularnewline
p-value (2 sided) & 8.42881320295419e-13 \tabularnewline
p-value (1 sided) & 4.21440660147709e-13 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51461&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]14.0561666666667[/C][C]19.4908333333333[/C][/ROW]
[ROW][C]Biased Variance[/C][C]3.85258697222222[/C][C]9.58619097222222[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]1.96280079789627[/C][C]3.09615745275046[/C][/ROW]
[ROW][C]Covariance[/C][C]4.74356257062147[/C][/ROW]
[ROW][C]Correlation[/C][C]0.767549036199391[/C][/ROW]
[ROW][C]Determination[/C][C]0.589131522970614[/C][/ROW]
[ROW][C]T-Test[/C][C]9.11945146584531[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]8.42881320295419e-13[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]4.21440660147709e-13[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]58[/C][/ROW]
[ROW][C]Number of Observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51461&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51461&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
StatisticVariable XVariable Y
Mean14.056166666666719.4908333333333
Biased Variance3.852586972222229.58619097222222
Biased Standard Deviation1.962800797896273.09615745275046
Covariance4.74356257062147
Correlation0.767549036199391
Determination0.589131522970614
T-Test9.11945146584531
p-value (2 sided)8.42881320295419e-13
p-value (1 sided)4.21440660147709e-13
Degrees of Freedom58
Number of Observations60



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')