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Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationSun, 21 Dec 2008 09:59:50 -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/2008/Dec/21/t12298788301o2qclzbswsylre.htm/, Retrieved Fri, 17 May 2024 20:20:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35688, Retrieved Fri, 17 May 2024 20:20:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [Case Paper] [2007-12-14 14:05:18] [80dc8bee9e9ee44ea58af3349c835ac7]
-    D    [Pearson Correlation] [Paper: Pearson Co...] [2008-12-21 16:59:50] [3a23ee8a65a3056dd39b310a09ef5fc1] [Current]
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Dataseries X:
143.5
127.1
137.3
132.5
132.7
138.6
129.2
128.7
135.7
134.4
145.0
151.1
136.3
133.2
128.8
136.3
131.3
128.6
139.3
120.8
126.7
128.6
137.5
140.8
132.3
130.5
117.1
131.4
129.4
119.2
133.6
113.2
122.1
130.9
131.7
126.7
132.3
124.8
111.1
131.3
118.6
119.4
124.0
108.7
115.9
130.5
125.4
126.0
130.4
119.3
117.4
127.9
112.5
115.1
124.3
107.6
110.7
117.9
115.2
130.4
Dataseries Y:
95.0
61.5
88.5
93.3
89.2
101.3
97.0
102.2
100.3
78.2
105.9
119.9
108.0
77.0
93.1
109.5
100.4
99.0
113.9
102.1
101.6
84.0
110.7
111.6
110.7
73.1
87.5
109.6
99.3
92.1
109.3
94.5
91.4
82.9
103.3
96.0
104.8
65.8
78.7
100.3
85.0
94.5
97.9
91.9
87.2
84.4
99.2
105.4
110.9
69.8
86.8
106.7
88.8
96.9
108.1
93.7
94.8
79.8
95.6
107.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35688&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]0 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=35688&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35688&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean127.31333333333395.4633333333333
Biased Variance86.2554888888889150.006655555556
Biased Standard Deviation9.2873833176459812.2477204228197
Covariance48.2565988700565
Correlation0.41716593358523
Determination0.174027416144036
T-Test3.49574718593133
p-value (2 sided)0.000913296578279432
p-value (1 sided)0.000456648289139716
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 127.313333333333 & 95.4633333333333 \tabularnewline
Biased Variance & 86.2554888888889 & 150.006655555556 \tabularnewline
Biased Standard Deviation & 9.28738331764598 & 12.2477204228197 \tabularnewline
Covariance & 48.2565988700565 \tabularnewline
Correlation & 0.41716593358523 \tabularnewline
Determination & 0.174027416144036 \tabularnewline
T-Test & 3.49574718593133 \tabularnewline
p-value (2 sided) & 0.000913296578279432 \tabularnewline
p-value (1 sided) & 0.000456648289139716 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35688&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]127.313333333333[/C][C]95.4633333333333[/C][/ROW]
[ROW][C]Biased Variance[/C][C]86.2554888888889[/C][C]150.006655555556[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]9.28738331764598[/C][C]12.2477204228197[/C][/ROW]
[ROW][C]Covariance[/C][C]48.2565988700565[/C][/ROW]
[ROW][C]Correlation[/C][C]0.41716593358523[/C][/ROW]
[ROW][C]Determination[/C][C]0.174027416144036[/C][/ROW]
[ROW][C]T-Test[/C][C]3.49574718593133[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.000913296578279432[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.000456648289139716[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]58[/C][/ROW]
[ROW][C]Number of Observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35688&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35688&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
Mean127.31333333333395.4633333333333
Biased Variance86.2554888888889150.006655555556
Biased Standard Deviation9.2873833176459812.2477204228197
Covariance48.2565988700565
Correlation0.41716593358523
Determination0.174027416144036
T-Test3.49574718593133
p-value (2 sided)0.000913296578279432
p-value (1 sided)0.000456648289139716
Degrees of Freedom58
Number of Observations60



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')