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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 computationWed, 28 Oct 2009 11:48:03 -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/2009/Oct/28/t1256752138zl9z4pcnyzax7ok.htm/, Retrieved Mon, 06 May 2024 04:34:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51650, Retrieved Mon, 06 May 2024 04:34:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSHWWS4Deel2 Model3
Estimated Impact122
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Explorative Data Analysis] [Bivariate EDA wer...] [2009-10-27 18:39:55] [4395c69e961f9a13a0559fd2f0a72538]
-    D  [Bivariate Explorative Data Analysis] [Bivariate EDA lnY...] [2009-10-27 19:01:52] [4395c69e961f9a13a0559fd2f0a72538]
- RMP     [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2009-10-27 19:07:17] [4395c69e961f9a13a0559fd2f0a72538]
- RMPD      [Pearson Correlation] [Pearson Correlati...] [2009-10-27 19:09:52] [4395c69e961f9a13a0559fd2f0a72538]
-    D        [Pearson Correlation] [Pearson Correlati...] [2009-10-28 17:20:47] [4395c69e961f9a13a0559fd2f0a72538]
-    D            [Pearson Correlation] [Pearson correlati...] [2009-10-28 17:48:03] [d1081bd6cdf1fed9ed45c42dbd523bf1] [Current]
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Dataseries X:
2.066862759
2.208274414
2.240709689
2.240709689
2.208274414
2.197224577
2.2300144
2.292534757
2.282382386
2.2300144
2.116255515
2.079441542
2.140066163
2.341805806
2.406945108
2.388762789
2.302585093
2.219203484
2.219203484
2.251291799
2.261763098
2.251291799
2.208274414
2.186051277
2.197224577
2.312535424
2.332143895
2.32238772
2.261763098
2.219203484
2.2300144
2.240709689
2.240709689
2.219203484
2.197224577
2.197224577
2.197224577
2.282382386
2.302585093
2.282382386
2.2300144
2.197224577
2.197224577
2.208274414
2.208274414
2.208274414
2.219203484
2.174751721
2.116255515
2.128231706
2.091864062
2.041220329
2.066862759
2.066862759
2.079441542
2.066862759
2.028148247
1.960094784
1.916922612
1.871802177
1.931521412
2.104134154
2.163323026
2.116255515
2.066862759
2.014903021
2.054123734
2.116255515
2.128231706
2.104134154
2.041220329
1.974081026
1.987874348
Dataseries Y:
7.3
7.6
7.5
7.6
7.9
7.9
8.1
8.2
8
7.5
6.8
6.5
6.6
7.6
8
8.1
7.7
7.5
7.6
7.8
7.8
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.2
7.9
7.3
6.9
6.6
6.7
6.9
7
7.1
7.2
7.1
6.9
7
6.8
6.4
6.7
6.6
6.4
6.3
6.2
6.5
6.8
6.8
6.4
6.1
5.8
6.1
7.2
7.3
6.9
6.1
5.8
6.2
7.1
7.7
7.9
7.7
7.4
7.5




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=51650&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=51650&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51650&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'George Udny Yule' @ 72.249.76.132







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean2.171035532369867.22465753424658
Biased Variance0.01231150054860410.410898855319947
Biased Standard Deviation0.1109572014274160.641013927555359
Covariance0.0475268529671423
Correlation0.659061184059777
Determination0.434361644334275
T-Test7.38389450269582
p-value (2 sided)2.30965691017104e-10
p-value (1 sided)1.15482845508552e-10
Degrees of Freedom71
Number of Observations73

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 2.17103553236986 & 7.22465753424658 \tabularnewline
Biased Variance & 0.0123115005486041 & 0.410898855319947 \tabularnewline
Biased Standard Deviation & 0.110957201427416 & 0.641013927555359 \tabularnewline
Covariance & 0.0475268529671423 \tabularnewline
Correlation & 0.659061184059777 \tabularnewline
Determination & 0.434361644334275 \tabularnewline
T-Test & 7.38389450269582 \tabularnewline
p-value (2 sided) & 2.30965691017104e-10 \tabularnewline
p-value (1 sided) & 1.15482845508552e-10 \tabularnewline
Degrees of Freedom & 71 \tabularnewline
Number of Observations & 73 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51650&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]2.17103553236986[/C][C]7.22465753424658[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.0123115005486041[/C][C]0.410898855319947[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.110957201427416[/C][C]0.641013927555359[/C][/ROW]
[ROW][C]Covariance[/C][C]0.0475268529671423[/C][/ROW]
[ROW][C]Correlation[/C][C]0.659061184059777[/C][/ROW]
[ROW][C]Determination[/C][C]0.434361644334275[/C][/ROW]
[ROW][C]T-Test[/C][C]7.38389450269582[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]2.30965691017104e-10[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]1.15482845508552e-10[/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=51650&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51650&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
Mean2.171035532369867.22465753424658
Biased Variance0.01231150054860410.410898855319947
Biased Standard Deviation0.1109572014274160.641013927555359
Covariance0.0475268529671423
Correlation0.659061184059777
Determination0.434361644334275
T-Test7.38389450269582
p-value (2 sided)2.30965691017104e-10
p-value (1 sided)1.15482845508552e-10
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')