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Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationMon, 22 Oct 2007 02:31:03 -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/Oct/22/qhjjx2dtlcus2sz1193045180.htm/, Retrieved Mon, 06 May 2024 03:26:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1568, Retrieved Mon, 06 May 2024 03:26:08 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsws1, deel 1, groep 1, vraag 10
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [vraag 10, deel 1,...] [2007-10-22 09:31:03] [234bcf6fb77cd83fa17f2489a043102b] [Current]
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Dataseries X:
16,8
18,7
18,7
18,7
16,8
16,8
16,8
16,0
16,0
16,0
18,0
18,0
18,0
18,0
18,0
18,0
21,6
21,6
21,6
20,1
20,1
20,1
22,9
22,9
22,9
24,0
24,0
24,0
20,3
20,3
20,3
15,8
15,8
15,8
23,2
23,2
23,2
20,9
20,9
20,9
19,8
19,8
19,8
20,6
20,6
20,6
21,1
21,1
21,1
22,4
22,4
22,4
20,5
20,5
20,5
18,4
18,4
18,4
17,6
17,6
17,6
18,5
18,5
18,5
17,3
17,3
17,3
16,2
16,2
16,2
18,0
18,0
18,0
Dataseries Y:
4,5
5,6
5,4
5,4
5,2
5,3
5,3
5,3
5,2
5,2
5,0
5,0
5,0
6,5
6,5
6,6
6,2
6,2
6,2
6,1
6,1
6,1
5,9
5,9
5,9
6,2
6,1
6,2
6,6
6,6
6,7
5,8
5,7
5,7
6,1
6,2
6,2
6,2
6,1
6,2
6,5
6,5
6,5
6,0
6,3
6,0
6,1
6,1
6,1
6,2
6,1
6,2
6,8
6,8
6,8
6,7
6,7
6,7
5,7
5,6
5,6
5,8
5,7
5,7
6,1
6,1
5,9
5,9
5,8
5,6
5,5
5,5
5,4




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=1568&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=1568&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1568&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
Mean19.40958904109595.96164383561644
Biased Variance5.364702570838800.24976168136611
Biased Standard Deviation2.316182758514280.499761624543252
Covariance0.570095129375951
Correlation0.485759427254398
Determination0.235962221166521
T-Test4.68266398893534
p-value (2 sided)1.32253464348864e-05
p-value (1 sided)6.61267321744319e-06
Degrees of Freedom71
Number of Observations73

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 19.4095890410959 & 5.96164383561644 \tabularnewline
Biased Variance & 5.36470257083880 & 0.24976168136611 \tabularnewline
Biased Standard Deviation & 2.31618275851428 & 0.499761624543252 \tabularnewline
Covariance & 0.570095129375951 \tabularnewline
Correlation & 0.485759427254398 \tabularnewline
Determination & 0.235962221166521 \tabularnewline
T-Test & 4.68266398893534 \tabularnewline
p-value (2 sided) & 1.32253464348864e-05 \tabularnewline
p-value (1 sided) & 6.61267321744319e-06 \tabularnewline
Degrees of Freedom & 71 \tabularnewline
Number of Observations & 73 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1568&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]19.4095890410959[/C][C]5.96164383561644[/C][/ROW]
[ROW][C]Biased Variance[/C][C]5.36470257083880[/C][C]0.24976168136611[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]2.31618275851428[/C][C]0.499761624543252[/C][/ROW]
[ROW][C]Covariance[/C][C]0.570095129375951[/C][/ROW]
[ROW][C]Correlation[/C][C]0.485759427254398[/C][/ROW]
[ROW][C]Determination[/C][C]0.235962221166521[/C][/ROW]
[ROW][C]T-Test[/C][C]4.68266398893534[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]1.32253464348864e-05[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]6.61267321744319e-06[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]71[/C][/ROW]
[ROW][C]Number of Observations[/C][C]73[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1568&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1568&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
Mean19.40958904109595.96164383561644
Biased Variance5.364702570838800.24976168136611
Biased Standard Deviation2.316182758514280.499761624543252
Covariance0.570095129375951
Correlation0.485759427254398
Determination0.235962221166521
T-Test4.68266398893534
p-value (2 sided)1.32253464348864e-05
p-value (1 sided)6.61267321744319e-06
Degrees of Freedom71
Number of Observations73



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')