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Description of Statistical Computation

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 12:55:17 -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/t1256756167tzdjtfleya7rucf.htm/, Retrieved Sun, 05 May 2024 20:38:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51735, Retrieved Sun, 05 May 2024 20:38:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPearson Correlation tot de macht
Estimated Impact96

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD  [Bivariate Explorative Data Analysis] [WS 4 - Part2: Biv...] [2009-10-28 17:55:28] [b00a5c3d5f6ccb867aa9e2de58adfa61]
- RMP     [Kendall tau Rank Correlation] [WS 4 - Part2: Ken...] [2009-10-28 18:16:14] [b00a5c3d5f6ccb867aa9e2de58adfa61]
- RMPD      [Bivariate Explorative Data Analysis] [WS 4 - Part2: Log...] [2009-10-28 18:25:11] [b00a5c3d5f6ccb867aa9e2de58adfa61]
- RMP         [Pearson Correlation] [WS 4 - Part2: Log...] [2009-10-28 18:29:07] [b00a5c3d5f6ccb867aa9e2de58adfa61]
- RMPD          [Bivariate Explorative Data Analysis] [WS 4 - Part2: Biv...] [2009-10-28 18:40:34] [b00a5c3d5f6ccb867aa9e2de58adfa61]
- RMP               [Pearson Correlation] [WS 4 - Part2: Pea...] [2009-10-28 18:55:17] [63d6214c2814604a6f6cfa44dba5912e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
65.61
59.29
56.25
57.76
60.84
60.84
60.84
56.25
56.25
50.41
56.25
56.25
57.76
59.29
59.29
62.41
65.61
67.24
67.24
67.24
62.41
53.29
47.61
43.56
44.89
47.61
49.0
50.41
51.84
50.41
47.61
49.0
46.24
40.96
44.89
43.56
40.96
39.69
38.44
42.25
46.24
46.24
40.96
37.21
33.64
37.21
51.84
53.29
47.61
37.21
33.64
38.44
50.41
59.29
62.41
59.29
54.76
56.25
64.0
65.61
Dataseries Y:
Download CSV
Histogram 
118.81
100.0
84.64
84.64
90.25
92.16
90.25
82.81
79.21
81.0
102.01
106.09
104.04
92.16
84.64
86.49
88.36
88.36
84.64
81.0
81.0
81.0
96.04
100.0
96.04
86.49
81.0
81.0
82.81
82.81
82.81
84.64
77.44
68.89
70.56
65.61
59.29
62.41
62.41
64.0
62.41
57.76
50.41
46.24
42.25
47.61
67.24
75.69
68.89
62.41
56.25
60.84
68.89
70.56
67.24
59.29
51.84
53.29
65.61
72.25

Tables (Output of Computation)





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=51735&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=51735&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51735&T=0

As an alternative you can also use a QR Code:  
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
Mean51.88576.5796666666667
Biased Variance86.089525264.737529888889
Biased Standard Deviation9.2784441044821716.2707568935464
Covariance85.371713559322
Correlation0.556073050322122
Determination0.309217237294549
T-Test5.09536264212404
p-value (2 sided)3.97375617744444e-06
p-value (1 sided)1.98687808872222e-06
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 51.885 & 76.5796666666667 \tabularnewline
Biased Variance & 86.089525 & 264.737529888889 \tabularnewline
Biased Standard Deviation & 9.27844410448217 & 16.2707568935464 \tabularnewline
Covariance & 85.371713559322 \tabularnewline
Correlation & 0.556073050322122 \tabularnewline
Determination & 0.309217237294549 \tabularnewline
T-Test & 5.09536264212404 \tabularnewline
p-value (2 sided) & 3.97375617744444e-06 \tabularnewline
p-value (1 sided) & 1.98687808872222e-06 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51735&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]51.885[/C][C]76.5796666666667[/C][/ROW]
[ROW][C]Biased Variance[/C][C]86.089525[/C][C]264.737529888889[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]9.27844410448217[/C][C]16.2707568935464[/C][/ROW]
[ROW][C]Covariance[/C][C]85.371713559322[/C][/ROW]
[ROW][C]Correlation[/C][C]0.556073050322122[/C][/ROW]
[ROW][C]Determination[/C][C]0.309217237294549[/C][/ROW]
[ROW][C]T-Test[/C][C]5.09536264212404[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]3.97375617744444e-06[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]1.98687808872222e-06[/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=51735&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51735&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean51.88576.5796666666667
Biased Variance86.089525264.737529888889
Biased Standard Deviation9.2784441044821716.2707568935464
Covariance85.371713559322
Correlation0.556073050322122
Determination0.309217237294549
T-Test5.09536264212404
p-value (2 sided)3.97375617744444e-06
p-value (1 sided)1.98687808872222e-06
Degrees of Freedom58
Number of Observations60


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = colombia ; par2 = www.ico.org ; par3 = Prices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ; par4 = usa ; par5 = www.ico.org ; par6 = Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ;
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')