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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 computationThu, 11 Dec 2008 11:28:56 -0700
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/Dec/11/t12290201984ymht60lsenfong.htm/, Retrieved Sun, 19 May 2024 06:01:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32426, Retrieved Sun, 19 May 2024 06:01:33 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Pearson Correlati...] [2008-12-11 18:28:56] [21a82be02162ee9c644b6689eefbb825] [Current]
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Dataseries X:
99,5
98,2
108,9
100,0
105,0
108,4
96,7
100,5
115,6
114,9
110,7
107,7
113,5
106,9
119,6
109,4
106,9
118,7
108,9
113,1
125,1
126,5
122,7
127,5
107,1
112,0
122,1
111,5
113,2
128,2
115,1
117,4
132,0
130,8
128,0
132,7
117,0
110,9
123,5
117,4
122,7
123,5
111,5
113,8
131,2
127,0
126,2
121,2
118,8
117,9
135,2
120,7
126,4
129,6
113,4
120,5
135,5
137,6
130,6
133,1
121,5
120,5
136,9
123,7
128,5
135,0
120,9
121,1
132,2
134,5
133,6
136,1
124,5
124,6
133,5
132,3
125,3
135,5
121,2
117,5
135,9
Dataseries Y:
98.5
97.0
103.3
99.6
100.1
102.9
95.9
94.5
107.4
116.0
102.8
99.8
109.6
103.0
111.6
106.3
97.9
108.8
103.9
101.2
122.9
123.9
111.7
120.9
99.6
103.3
119.4
106.5
101.9
124.6
106.5
107.8
127.4
120.1
118.5
127.7
107.7
104.5
118.8
110.3
109.6
119.1
96.5
106.7
126.3
116.2
118.8
115.2
110.0
111.4
129.6
108.1
117.8
122.9
100.6
111.8
127.0
128.6
124.8
118.5
114.7
112.6
128.7
111.0
115.8
126.0
111.1
113.2
120.1
130.6
124.0
119.4
116.7
116.5
119.6
126.5
111.3
123.5
114.2
103.7
129.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32426&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]3 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=32426&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32426&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean120.679012345679112.991358024691
Biased Variance107.38931260478694.589184575522
Biased Standard Deviation10.36288148174959.72569712542613
Covariance95.4453163580247
Correlation0.935315901359543
Determination0.874815835336014
T-Test23.4961748652895
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom79
Number of Observations81

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 120.679012345679 & 112.991358024691 \tabularnewline
Biased Variance & 107.389312604786 & 94.589184575522 \tabularnewline
Biased Standard Deviation & 10.3628814817495 & 9.72569712542613 \tabularnewline
Covariance & 95.4453163580247 \tabularnewline
Correlation & 0.935315901359543 \tabularnewline
Determination & 0.874815835336014 \tabularnewline
T-Test & 23.4961748652895 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 79 \tabularnewline
Number of Observations & 81 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32426&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]120.679012345679[/C][C]112.991358024691[/C][/ROW]
[ROW][C]Biased Variance[/C][C]107.389312604786[/C][C]94.589184575522[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]10.3628814817495[/C][C]9.72569712542613[/C][/ROW]
[ROW][C]Covariance[/C][C]95.4453163580247[/C][/ROW]
[ROW][C]Correlation[/C][C]0.935315901359543[/C][/ROW]
[ROW][C]Determination[/C][C]0.874815835336014[/C][/ROW]
[ROW][C]T-Test[/C][C]23.4961748652895[/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]79[/C][/ROW]
[ROW][C]Number of Observations[/C][C]81[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32426&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32426&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
Mean120.679012345679112.991358024691
Biased Variance107.38931260478694.589184575522
Biased Standard Deviation10.36288148174959.72569712542613
Covariance95.4453163580247
Correlation0.935315901359543
Determination0.874815835336014
T-Test23.4961748652895
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom79
Number of Observations81



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')