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Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationSat, 10 Nov 2007 10:30:10 -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/2007/Nov/10/t11947155554w84ygnau0sc0zi.htm/, Retrieved Tue, 30 Apr 2024 07:01:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=5062, Retrieved Tue, 30 Apr 2024 07:01:33 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsIntermediaire goederen versus Consumptiegoederen , Duurzame consumptiegoederen
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Paper Correlation...] [2007-11-10 17:30:10] [d06427f3e67cec1f6334fc93f511b0b4] [Current]
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Dataseries X:
100,6
96,1
110
108,2
106,9
117,2
105,2
106,3
95,9
107,5
113
111,4
95,5
90,3
110,8
107,1
101,4
112,9
98,5
100,1
93,4
104,4
101,8
107,9
91,3
86,6
111,4
98,4
102,2
103
95,8
96
95,7
106,4
112
116,2
93,9
100,5
112,5
101,2
107,8
114,3
99,6
98,6
93,6
99,6
113,1
110,7
88,1
93,1
107,4
99,5
105,6
108,3
99,2
99,3
107,1
106,9
115,4
99
100,1
96,2
96,9
96,2
91
99
99
107,2
110,8
111,1
104,6
94,3
90,7
88,8
90,9
90,5
95,5
103,1
100,6
103,1
Dataseries Y:
59,7
58,2
75,3
69
66,1
77,5
69,3
70,2
70,2
78,2
85,4
82,4
61,2
52,2
85,3
79,9
72,2
85,7
75,5
69,2
77,6
85,3
77
89,9
60
54,3
84
69,9
75,1
81,7
69,9
68,3
77,3
77,4
85,3
91
60,6
57,6
93,8
78,7
80,3
89,8
77,5
71,7
83,2
86,2
100,7
100,8
57,1
62,5
79,7
80,3
92,4
91,8
85,8
84,2
93,1
101,2
100,6
106,7
64
67,5
101
95,5
97
103,8
95,2
86,7
93,5
102,5
112,3
105,5
75,4
70,4
108
100
93,3
111,1
101,1
98,1




Summary of compuational 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 compuational 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=5062&T=0

[TABLE]
[ROW][C]Summary of compuational 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=5062&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5062&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 compuational 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
Mean102.0162582.06125
Biased Variance56.0598609375215.9188734375
Biased Standard Deviation7.4873133323976814.6941782157935
Covariance37.149625
Correlation0.333441942755803
Determination0.111183529188764
T-Test3.12364364238049
p-value (2 sided)0.00250728698836844
p-value (1 sided)0.00125364349418422
Degrees of Freedom78
Number of Observations80

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 102.01625 & 82.06125 \tabularnewline
Biased Variance & 56.0598609375 & 215.9188734375 \tabularnewline
Biased Standard Deviation & 7.48731333239768 & 14.6941782157935 \tabularnewline
Covariance & 37.149625 \tabularnewline
Correlation & 0.333441942755803 \tabularnewline
Determination & 0.111183529188764 \tabularnewline
T-Test & 3.12364364238049 \tabularnewline
p-value (2 sided) & 0.00250728698836844 \tabularnewline
p-value (1 sided) & 0.00125364349418422 \tabularnewline
Degrees of Freedom & 78 \tabularnewline
Number of Observations & 80 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5062&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]102.01625[/C][C]82.06125[/C][/ROW]
[ROW][C]Biased Variance[/C][C]56.0598609375[/C][C]215.9188734375[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]7.48731333239768[/C][C]14.6941782157935[/C][/ROW]
[ROW][C]Covariance[/C][C]37.149625[/C][/ROW]
[ROW][C]Correlation[/C][C]0.333441942755803[/C][/ROW]
[ROW][C]Determination[/C][C]0.111183529188764[/C][/ROW]
[ROW][C]T-Test[/C][C]3.12364364238049[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.00250728698836844[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.00125364349418422[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]78[/C][/ROW]
[ROW][C]Number of Observations[/C][C]80[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=5062&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5062&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
Mean102.0162582.06125
Biased Variance56.0598609375215.9188734375
Biased Standard Deviation7.4873133323976814.6941782157935
Covariance37.149625
Correlation0.333441942755803
Determination0.111183529188764
T-Test3.12364364238049
p-value (2 sided)0.00250728698836844
p-value (1 sided)0.00125364349418422
Degrees of Freedom78
Number of Observations80



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')