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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 computationSun, 19 Oct 2008 15:11:29 -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/t1224450788eb8ie9lkbxnir53.htm/, Retrieved Sun, 19 May 2024 16:38:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17107, Retrieved Sun, 19 May 2024 16:38:13 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [correlatie tussen...] [2008-10-19 21:11:29] [5925747fb2a6bb4cfcd8015825ee5e92] [Current]
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Dataseries X:
28
30
32
31
32
34
32
35
29
33
33
34
32
27
26
22
22
23
23
19
15
5
1
11
18
20
21
19
20
19
18
16
16
16
15
11
10
6
1
8
10
9
6
8
14
4
13
13
16
18
16
15
13
19
15
17
17
13
12
13
13
16
17
14
8
8
8
9
5
11
10
14
18
17
14
15
13
17
17
17
17
21
20
11
18
20
18
21
21
20
18
17
17
18
11
15
13
16
16
12
10
8
6
8
10
Dataseries Y:
29
34
34
30
21
23
18
27
20
25
24
23
18
22
22
18
19
18
22
22
20
14
15
14
19
23
23
17
21
17
24
18
17
18
16
15
21
17
11
13
11
13
13
14
18
13
16
13
15
20
17
18
17
20
18
18
21
19
17
20
19
24
21
21
16
18
17
16
11
14
11
20
22
18
17
18
15
19
18
15
16
17
12
16
14
18
17
10
18
16
13
13
13
13
5
8
5
4
4
1
6
4
5
4
11




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=17107&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=17107&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17107&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean16.638095238095216.8190476190476
Biased Variance57.754739229024935.1386848072562
Biased Standard Deviation7.599653888765265.9277892006427
Covariance28.3569597069597
Correlation0.623472268883649
Determination0.388717670066925
T-Test8.09309862402834
p-value (2 sided)1.21569421196455e-12
p-value (1 sided)6.07847105982273e-13
Degrees of Freedom103
Number of Observations105

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 16.6380952380952 & 16.8190476190476 \tabularnewline
Biased Variance & 57.7547392290249 & 35.1386848072562 \tabularnewline
Biased Standard Deviation & 7.59965388876526 & 5.9277892006427 \tabularnewline
Covariance & 28.3569597069597 \tabularnewline
Correlation & 0.623472268883649 \tabularnewline
Determination & 0.388717670066925 \tabularnewline
T-Test & 8.09309862402834 \tabularnewline
p-value (2 sided) & 1.21569421196455e-12 \tabularnewline
p-value (1 sided) & 6.07847105982273e-13 \tabularnewline
Degrees of Freedom & 103 \tabularnewline
Number of Observations & 105 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17107&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]16.6380952380952[/C][C]16.8190476190476[/C][/ROW]
[ROW][C]Biased Variance[/C][C]57.7547392290249[/C][C]35.1386848072562[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]7.59965388876526[/C][C]5.9277892006427[/C][/ROW]
[ROW][C]Covariance[/C][C]28.3569597069597[/C][/ROW]
[ROW][C]Correlation[/C][C]0.623472268883649[/C][/ROW]
[ROW][C]Determination[/C][C]0.388717670066925[/C][/ROW]
[ROW][C]T-Test[/C][C]8.09309862402834[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]1.21569421196455e-12[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]6.07847105982273e-13[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]103[/C][/ROW]
[ROW][C]Number of Observations[/C][C]105[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17107&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17107&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
Mean16.638095238095216.8190476190476
Biased Variance57.754739229024935.1386848072562
Biased Standard Deviation7.599653888765265.9277892006427
Covariance28.3569597069597
Correlation0.623472268883649
Determination0.388717670066925
T-Test8.09309862402834
p-value (2 sided)1.21569421196455e-12
p-value (1 sided)6.07847105982273e-13
Degrees of Freedom103
Number of Observations105



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')