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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 computationMon, 20 Oct 2008 12:51:51 -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/t1224528925vjlg7wrkq1ipwvv.htm/, Retrieved Sun, 19 May 2024 13:02:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17898, Retrieved Sun, 19 May 2024 13:02:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q7 95% confidence...] [2007-10-20 15:02:46] [b731da8b544846036771bbf9bf2f34ce]
-    D  [Harrell-Davis Quantiles] [Harrell - Davis Q...] [2008-10-18 17:45:28] [b943bd7078334192ff8343563ee31113]
F RMPD      [Pearson Correlation] [Pearson Tijdreeks...] [2008-10-20 18:51:51] [620b6ad5c4696049e39cb73ce029682c] [Current]
Feedback Forum
2008-10-27 12:04:13 [Michael Van Spaandonck] [reply] 
Een positieve corelatie van 49% duidt inderdaad op een gemiddeld verband tussen de invoer vanuit Amerika en de wisselkoers dollar/euro.

Net als de relatie uitvoer/wisselkoers is dit economisch gezien logisch te verklaren.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1593
1477,9
1733,7
1569,7
1843,7
1950,3
1657,5
1772,1
1568,3
1809,8
1646,7
1808,5
1763,9
1625,5
1538,8
1342,4
1645,1
1619,9
1338,1
1505,5
1529,1
1511,9
1656,7
1694,4
1662,3
1588,7
1483,3
1585,6
1658,9
1584,4
1470,6
1618,7
1407,6
1473,9
1515,3
1485,4
1496,1
1493,5
1298,4
1375,3
1507,9
1455,3
1363,3
1392,8
1348,8
1880,3
1669,2
1543,6
1701,2
1516,5
1466,8
1484,1
1577,2
1684,5
1414,7
1674,5
1598,7
1739,1
1674,6
1671,8
1802
1526,8
1580,9
1634,8
1610,3
1712
1678,8
1708,1
1680,6
2056
1624
2021,4
1861,1
1750,8
1767,5
1710,3
2151,5
2047,9
1915,4
1984,7
1896,5
2170,8
2139,9
2330,5
2121,8
2226,8
1857,9
2155,9
2341,7
2290,2
2006,5
2111,9
1731,3
1762,2
1863,2
1943,5
1975,2
Dataseries Y:
Download CSV
Histogram 
0,8721
0,8552
0,8564
0,8973
0,9383
0,9217
0,9095
0,892
0,8742
0,8532
0,8607
0,9005
0,9111
0,9059
0,8883
0,8924
0,8833
0,87
0,8758
0,8858
0,917
0,9554
0,9922
0,9778
0,9808
0,9811
1,0014
1,0183
1,0622
1,0773
1,0807
1,0848
1,1582
1,1663
1,1372
1,1139
1,1222
1,1692
1,1702
1,2286
1,2613
1,2646
1,2262
1,1985
1,2007
1,2138
1,2266
1,2176
1,2218
1,249
1,2991
1,3408
1,3119
1,3014
1,3201
1,2938
1,2694
1,2165
1,2037
1,2292
1,2256
1,2015
1,1786
1,1856
1,2103
1,1938
1,202
1,2271
1,277
1,265
1,2684
1,2811
1,2727
1,2611
1,2881
1,3213
1,2999
1,3074
1,3242
1,3516
1,3511
1,3419
1,3716
1,3622
1,3896
1,4227
1,4684
1,457
1,4718
1,4748
1,5527
1,575
1,5557
1,5553
1,577
1,4975
1,4369

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17898&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17898&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17898&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'George Udny Yule' @ 72.249.76.132






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean1706.351546391751.17740206185567
Biased Variance57561.16167286640.0400905799957488
Biased Standard Deviation239.9190731744070.200226321935326
Covariance23.6533786426117
Correlation0.487311587233683
Determination0.237472583052211
T-Test5.43927240081145
p-value (2 sided)4.14856577535261e-07
p-value (1 sided)2.07428288767630e-07
Degrees of Freedom95
Number of Observations97

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 1706.35154639175 & 1.17740206185567 \tabularnewline
Biased Variance & 57561.1616728664 & 0.0400905799957488 \tabularnewline
Biased Standard Deviation & 239.919073174407 & 0.200226321935326 \tabularnewline
Covariance & 23.6533786426117 \tabularnewline
Correlation & 0.487311587233683 \tabularnewline
Determination & 0.237472583052211 \tabularnewline
T-Test & 5.43927240081145 \tabularnewline
p-value (2 sided) & 4.14856577535261e-07 \tabularnewline
p-value (1 sided) & 2.07428288767630e-07 \tabularnewline
Degrees of Freedom & 95 \tabularnewline
Number of Observations & 97 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17898&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]1706.35154639175[/C][C]1.17740206185567[/C][/ROW]
[ROW][C]Biased Variance[/C][C]57561.1616728664[/C][C]0.0400905799957488[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]239.919073174407[/C][C]0.200226321935326[/C][/ROW]
[ROW][C]Covariance[/C][C]23.6533786426117[/C][/ROW]
[ROW][C]Correlation[/C][C]0.487311587233683[/C][/ROW]
[ROW][C]Determination[/C][C]0.237472583052211[/C][/ROW]
[ROW][C]T-Test[/C][C]5.43927240081145[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]4.14856577535261e-07[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]2.07428288767630e-07[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]95[/C][/ROW]
[ROW][C]Number of Observations[/C][C]97[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17898&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17898&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
Mean1706.351546391751.17740206185567
Biased Variance57561.16167286640.0400905799957488
Biased Standard Deviation239.9190731744070.200226321935326
Covariance23.6533786426117
Correlation0.487311587233683
Determination0.237472583052211
T-Test5.43927240081145
p-value (2 sided)4.14856577535261e-07
p-value (1 sided)2.07428288767630e-07
Degrees of Freedom95
Number of Observations97


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Wisselkoers dollar/euro ; par5 = Rentevoet ;
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')