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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, 22 Dec 2010 15:02:46 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/22/t1293030070g764iud6ojtn7w4.htm/, Retrieved Mon, 06 May 2024 01:23:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114296, Retrieved Mon, 06 May 2024 01:23:04 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [] [2010-12-22 15:02:46] [b91d9cfbf8712a09013bf3c2e3081c55] [Current]
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Dataseries X:
1143,94
1227,85
1261,26
1408,95
1162,58
1259,39
1253,85
1475,32
1211,75
1303,83
1299,37
1430,73
1244,95
1318,58
1318,74
1525,05
1275,88
1360,09
1349,81
1574,04
1294,58
1380,60
1369,22
1565,98
1338,96
1457,57
1456,21
1654,44
1428,47
1530,39
1514,13
1698,25
1454,22
1578,06
1526,53
1714,21
1492,86
1593,42
1555,50
1820,55
1534,57
1636,03
1594,58
1805,13
1565,37
1679,57
1638,26
1854,64
1628,72
1744,97
1694,35
1920,88
1680,26
1778,62
1740,89
2010,56
Dataseries Y:
9,70
9,20
9,90
10,00
9,90
9,20
9,60
9,40
9,10
8,70
9,50
9,50
9,40
9,00
9,60
9,30
9,00
8,50
8,50
7,90
7,20
6,50
7,10
6,80
6,20
6,20
6,50
7,50
7,40
6,90
7,60
8,10
8,20
7,70
8,30
8,50
8,70
7,40
9,10
8,40
8,60
8,10
8,70
8,50
8,70
8,30
8,10
7,90
8,00
7,60
7,30
7,10
7,10
6,30
7,70
6,80




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114296&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114296&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114296&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean1506.026964285718.21428571428571
Biased Variance40406.52890328441.08586734693878
Biased Standard Deviation201.0137530202461.0420495894816
Covariance-102.934392207792
Correlation-0.482637439211923
Determination0.232938897729043
T-Test-4.04951402880142
p-value (2 sided)0.000165145557733219
p-value (1 sided)8.25727788666095e-05
Degrees of Freedom54
Number of Observations56

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 1506.02696428571 & 8.21428571428571 \tabularnewline
Biased Variance & 40406.5289032844 & 1.08586734693878 \tabularnewline
Biased Standard Deviation & 201.013753020246 & 1.0420495894816 \tabularnewline
Covariance & -102.934392207792 \tabularnewline
Correlation & -0.482637439211923 \tabularnewline
Determination & 0.232938897729043 \tabularnewline
T-Test & -4.04951402880142 \tabularnewline
p-value (2 sided) & 0.000165145557733219 \tabularnewline
p-value (1 sided) & 8.25727788666095e-05 \tabularnewline
Degrees of Freedom & 54 \tabularnewline
Number of Observations & 56 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114296&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]1506.02696428571[/C][C]8.21428571428571[/C][/ROW]
[ROW][C]Biased Variance[/C][C]40406.5289032844[/C][C]1.08586734693878[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]201.013753020246[/C][C]1.0420495894816[/C][/ROW]
[ROW][C]Covariance[/C][C]-102.934392207792[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.482637439211923[/C][/ROW]
[ROW][C]Determination[/C][C]0.232938897729043[/C][/ROW]
[ROW][C]T-Test[/C][C]-4.04951402880142[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.000165145557733219[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]8.25727788666095e-05[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]54[/C][/ROW]
[ROW][C]Number of Observations[/C][C]56[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114296&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114296&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
Mean1506.026964285718.21428571428571
Biased Variance40406.52890328441.08586734693878
Biased Standard Deviation201.0137530202461.0420495894816
Covariance-102.934392207792
Correlation-0.482637439211923
Determination0.232938897729043
T-Test-4.04951402880142
p-value (2 sided)0.000165145557733219
p-value (1 sided)8.25727788666095e-05
Degrees of Freedom54
Number of Observations56



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')