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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 computationSat, 18 Oct 2008 07:31:33 -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/18/t1224336877ciyv7bg9jbtsbk3.htm/, Retrieved Sun, 19 May 2024 14:39:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16618, Retrieved Sun, 19 May 2024 14:39:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Eerste tijdreeks] [2008-10-11 15:49:53] [c45c87b96bbf32ffc2144fc37d767b2e]
-   PD  [Univariate Data Series] [aantal begonnen w...] [2008-10-18 13:04:32] [c45c87b96bbf32ffc2144fc37d767b2e]
F RMPD    [Pearson Correlation] [relatie tijdreeks...] [2008-10-18 13:27:30] [c45c87b96bbf32ffc2144fc37d767b2e]
F    D        [Pearson Correlation] [relatie tijdreeks...] [2008-10-18 13:31:33] [3dc594a6c62226e1e98766c4d385bfaa] [Current]
F    D          [Pearson Correlation] [relatie tijdreeks...] [2008-10-18 13:35:31] [c45c87b96bbf32ffc2144fc37d767b2e]
F    D            [Pearson Correlation] [relatie tijdreeks...] [2008-10-18 13:37:37] [c45c87b96bbf32ffc2144fc37d767b2e]
F    D              [Pearson Correlation] [relatie tijdreeks...] [2008-10-18 13:39:20] [c45c87b96bbf32ffc2144fc37d767b2e]
F    D                [Pearson Correlation] [relatie tijdreeks...] [2008-10-18 13:41:34] [c45c87b96bbf32ffc2144fc37d767b2e]
Feedback Forum
2008-10-27 16:36:10 [Michael Van Spaandonck] [reply] 
Een positieve corelatie van 25% duidt op een relatief zwak verband tussen de twee tijdreeksen. Woningbouwbeleid p)er gewest kan hierin een rol spelen, zoals goed opgemerkt in bijhorend document.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.83
1.91
1.68
1.82
1.75
1.83
1.73
1.81
2.10
1.90
1.91
2.02
1.99
1.96
1.81
1.75
1.82
2.00
1.91
1.84
1.83
1.94
1.83
1.79
1.98
1.95
1.81
1.79
1.84
1.89
1.78
1.84
2.00
1.87
1.98
2.02
2.10
1.99
1.77
1.83
1.94
1.80
1.92
1.85
2.10
2.03
2.07
2.10
2.14
2.17
1.93
1.87
2.07
1.86
1.82
1.95
2.02
2.01
2.06
2.07
1.86
1.96
1.81
1.84
Dataseries Y:
Download CSV
Histogram 
1.61
1.25
1.21
1.42
1.22
1.42
1.44
1.44
1.48
1.49
1.59
1.33
1.51
1.36
1.45
1.44
1.32
1.40
1.35
1.50
1.52
1.45
1.45
1.59
1.49
1.35
1.70
1.52
1.36
1.44
1.56
1.61
1.73
1.58
1.50
1.51
1.73
1.52
1.60
1.41
1.46
1.58
1.41
1.61
1.31
1.62
1.51
1.60
1.61
1.63
1.46
1.87
1.92
1.62
1.50
1.43
1.64
1.62
1.68
1.82
1.68
1.50
1.75
1.78

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=16618&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=16618&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16618&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
Mean1.913281251.5228125
Biased Variance0.01274392089843750.02175458984375
Biased Standard Deviation0.1128889759827660.147494372244333
Covariance0.0042922123015873
Correlation0.253755104383650
Determination0.0643916530007573
T-Test2.06568258385136
p-value (2 sided)0.0430444227362345
p-value (1 sided)0.0215222113681173
Degrees of Freedom62
Number of Observations64

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 1.91328125 & 1.5228125 \tabularnewline
Biased Variance & 0.0127439208984375 & 0.02175458984375 \tabularnewline
Biased Standard Deviation & 0.112888975982766 & 0.147494372244333 \tabularnewline
Covariance & 0.0042922123015873 \tabularnewline
Correlation & 0.253755104383650 \tabularnewline
Determination & 0.0643916530007573 \tabularnewline
T-Test & 2.06568258385136 \tabularnewline
p-value (2 sided) & 0.0430444227362345 \tabularnewline
p-value (1 sided) & 0.0215222113681173 \tabularnewline
Degrees of Freedom & 62 \tabularnewline
Number of Observations & 64 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16618&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]1.91328125[/C][C]1.5228125[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.0127439208984375[/C][C]0.02175458984375[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.112888975982766[/C][C]0.147494372244333[/C][/ROW]
[ROW][C]Covariance[/C][C]0.0042922123015873[/C][/ROW]
[ROW][C]Correlation[/C][C]0.253755104383650[/C][/ROW]
[ROW][C]Determination[/C][C]0.0643916530007573[/C][/ROW]
[ROW][C]T-Test[/C][C]2.06568258385136[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.0430444227362345[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.0215222113681173[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]62[/C][/ROW]
[ROW][C]Number of Observations[/C][C]64[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16618&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16618&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
Mean1.913281251.5228125
Biased Variance0.01274392089843750.02175458984375
Biased Standard Deviation0.1128889759827660.147494372244333
Covariance0.0042922123015873
Correlation0.253755104383650
Determination0.0643916530007573
T-Test2.06568258385136
p-value (2 sided)0.0430444227362345
p-value (1 sided)0.0215222113681173
Degrees of Freedom62
Number of Observations64


Figures (Output of Computation)

Input Parameters & R Code

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')