Free Statistics

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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 computationMon, 20 Oct 2008 10:22:42 -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/20/t1224520178q8bdw34vb5juvgz.htm/, Retrieved Fri, 17 May 2024 06:39:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17606, Retrieved Fri, 17 May 2024 06:39:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Import in goods] [2008-10-17 10:32:53] [cb714085b233acee8e8acd879ea442b6]
- RMPD    [Pearson Correlation] [Relatie inflatie ...] [2008-10-20 16:22:42] [787873b6436f665b5b192a0bdb2e43c9] [Current]
-    D      [Pearson Correlation] [Relatie inflatie ...] [2008-10-20 16:34:25] [cb714085b233acee8e8acd879ea442b6]
- RMPD      [Back to Back Histogram] [back to back hist...] [2008-10-20 17:08:38] [cb714085b233acee8e8acd879ea442b6]
- RMPD      [Back to Back Histogram] [back to back hist...] [2008-10-20 17:16:15] [cb714085b233acee8e8acd879ea442b6]
- RMPD      [Back to Back Histogram] [back to back hist...] [2008-10-20 17:20:31] [cb714085b233acee8e8acd879ea442b6]
- RM D      [Central Tendency] [Export van belgië] [2008-10-20 17:25:51] [cb714085b233acee8e8acd879ea442b6]
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Dataseries X:
0.95
0.98
1.23
1.17
0.84
0.74
0.65
0.91
1.19
1.30
1.53
1.94
1.79
1.95
2.26
2.04
2.16
2.75
2.79
2.88
3.36
2.97
3.10
2.49
2.20
2.25
2.09
2.79
3.14
2.93
2.65
2.67
2.26
2.35
2.13
2.18
2.90
2.63
2.67
1.81
1.33
0.88
1.28
1.26
1.26
1.29
1.10
1.37
1.21
1.74
1.76
1.48
1.04
1.62
1.49
1.79
1.8
1.58
1.86
1.74
1.59
1.26
1.13
1.92
2.61
2.26
2.41
2.26
2.03
2.86
2.55
2.27
2.26
2.57
3.07
2.76
2.51
2.87
3.14
3.11
3.16
2.47
2.57
2.89
2.63
2.38
1.69
1.96
2.19
1.87
1.6
1.63
1.22
1.21
1.49
1.64
1.66
1.77
1.82
1.78
1.28
1.29
1.37
1.12
1.51
2.24
2.94
3.09
3.46
3.64
4.39
4.15
5.21
5.80
5.91
Dataseries Y:
13.92
13.22
13.31
12.91
13.19
12.92
13.43
13.72
13.97
14.91
14.46
14.12
14.23
15.04
14.80
14.49
15.14
14.34
15.12
15.14
14.34
14.36
14.91
15.56
16.50
15.57
15.14
15.19
15.07
14.48
14.27
14.72
14.65
14.38
13.95
14.85
14.87
14.83
15.03
15.47
16.21
16.55
17.04
17.22
17.47
17.75
17.84
18.47
18.38
18.55
18.39
18.88
20.21
19.67
20.09
18.78
19.74
20.64
20.34
21.75
22.10
22.81
22.91
22.46
21.78
25.05
23.70
23.02
24.34
24.15
25.85
26.42
26.54
26.36
26.99
27.52
26.63
26.26
24.86
26.84
26.57
24.67
27.24
27.77
27.61
27.27
28.46
26.97
29.95
29.88
29.67
31.19
30.24
30.03
31.02
30.45
31.70
32.10
32.32
32.18
33.43
33.07
35.32
35.17
35.29
37.89
38.32
37.07
39.77
39.20
40.46
44.95
41.69
41.88
45.86




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=17606&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=17606&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17606&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
Mean2.1475652173913022.7629565217391
Biased Variance0.88895928922495371.4462364763705
Biased Standard Deviation0.942846376259128.45258756099992
Covariance3.5393642791762
Correlation0.440252326718446
Determination0.193822111181005
T-Test5.21225242856674
p-value (2 sided)8.5030119345575e-07
p-value (1 sided)4.25150596727875e-07
Degrees of Freedom113
Number of Observations115

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 2.14756521739130 & 22.7629565217391 \tabularnewline
Biased Variance & 0.888959289224953 & 71.4462364763705 \tabularnewline
Biased Standard Deviation & 0.94284637625912 & 8.45258756099992 \tabularnewline
Covariance & 3.5393642791762 \tabularnewline
Correlation & 0.440252326718446 \tabularnewline
Determination & 0.193822111181005 \tabularnewline
T-Test & 5.21225242856674 \tabularnewline
p-value (2 sided) & 8.5030119345575e-07 \tabularnewline
p-value (1 sided) & 4.25150596727875e-07 \tabularnewline
Degrees of Freedom & 113 \tabularnewline
Number of Observations & 115 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17606&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]2.14756521739130[/C][C]22.7629565217391[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.888959289224953[/C][C]71.4462364763705[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.94284637625912[/C][C]8.45258756099992[/C][/ROW]
[ROW][C]Covariance[/C][C]3.5393642791762[/C][/ROW]
[ROW][C]Correlation[/C][C]0.440252326718446[/C][/ROW]
[ROW][C]Determination[/C][C]0.193822111181005[/C][/ROW]
[ROW][C]T-Test[/C][C]5.21225242856674[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]8.5030119345575e-07[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]4.25150596727875e-07[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]113[/C][/ROW]
[ROW][C]Number of Observations[/C][C]115[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17606&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17606&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
Mean2.1475652173913022.7629565217391
Biased Variance0.88895928922495371.4462364763705
Biased Standard Deviation0.942846376259128.45258756099992
Covariance3.5393642791762
Correlation0.440252326718446
Determination0.193822111181005
T-Test5.21225242856674
p-value (2 sided)8.5030119345575e-07
p-value (1 sided)4.25150596727875e-07
Degrees of Freedom113
Number of Observations115



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')