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Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationSat, 20 Oct 2007 09:15:17 -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/20/skwcovij6uc0e4o1192896788.htm/, Retrieved Thu, 02 May 2024 17:18:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1168, Retrieved Thu, 02 May 2024 17:18:32 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS2PCEM
Estimated Impact182
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [WS2 - Pearson cor...] [2007-10-20 16:15:17] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
105,5
106,4
117,9
89,7
88,5
106,4
61,4
92,3
95,5
92,5
89,6
84,3
76,3
80,7
96,3
81,0
82,9
90,3
74,8
70,1
86,7
86,4
89,9
88,1
78,8
81,1
85,4
82,6
80,3
81,2
68,0
67,4
91,3
94,9
82,8
88,6
73,1
76,7
93,2
84,9
83,8
93,5
91,9
69,6
87,0
90,2
82,7
91,4
74,6
76,1
87,1
78,4
81,3
99,3
71,0
73,2
95,6
84,0
90,8
93,6
80,9
84,4
97,3
83,5
88,8
100,7
69,4
74,6
96,6
96,6
93,1
91,8
85,7
79,1
91,3
84,2
85,8
90,0
76,6
81,3
Dataseries Y:
96,5
97,3
122,0
91,0
107,9
114,6
98,0
95,5
98,7
115,9
110,4
109,5
92,3
102,1
112,8
110,2
98,9
119,0
104,3
98,8
109,4
170,3
118,0
116,9
111,7
116,8
116,1
114,8
110,8
122,8
104,7
86,0
127,2
126,1
114,6
127,8
105,2
113,1
161,0
126,9
117,7
144,9
119,4
107,1
142,8
126,2
126,9
179,2
105,3
114,8
125,4
113,2
134,4
150,0
100,9
101,8
137,7
138,7
135,4
153,8
119,5
123,3
166,4
137,5
142,2
167,0
112,3
120,6
154,9
153,4
156,2
175,8
131,7
130,1
161,1
128,2
140,3
168,2
110,2
126,2




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=1168&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=1168&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1168&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
Mean85.8825123.7075
Biased Variance96.83919375468.49294375
Biased Standard Deviation9.8406907150870321.6446978207135
Covariance89.5064620253165
Correlation0.414967787828212
Determination0.17219826493504
T-Test4.02808402040703
p-value (2 sided)0.000129581248484278
p-value (1 sided)6.47906242421392e-05
Degrees of Freedom78
Number of Observations80

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 85.8825 & 123.7075 \tabularnewline
Biased Variance & 96.83919375 & 468.49294375 \tabularnewline
Biased Standard Deviation & 9.84069071508703 & 21.6446978207135 \tabularnewline
Covariance & 89.5064620253165 \tabularnewline
Correlation & 0.414967787828212 \tabularnewline
Determination & 0.17219826493504 \tabularnewline
T-Test & 4.02808402040703 \tabularnewline
p-value (2 sided) & 0.000129581248484278 \tabularnewline
p-value (1 sided) & 6.47906242421392e-05 \tabularnewline
Degrees of Freedom & 78 \tabularnewline
Number of Observations & 80 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1168&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]85.8825[/C][C]123.7075[/C][/ROW]
[ROW][C]Biased Variance[/C][C]96.83919375[/C][C]468.49294375[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]9.84069071508703[/C][C]21.6446978207135[/C][/ROW]
[ROW][C]Covariance[/C][C]89.5064620253165[/C][/ROW]
[ROW][C]Correlation[/C][C]0.414967787828212[/C][/ROW]
[ROW][C]Determination[/C][C]0.17219826493504[/C][/ROW]
[ROW][C]T-Test[/C][C]4.02808402040703[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.000129581248484278[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]6.47906242421392e-05[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]78[/C][/ROW]
[ROW][C]Number of Observations[/C][C]80[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1168&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1168&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
Mean85.8825123.7075
Biased Variance96.83919375468.49294375
Biased Standard Deviation9.8406907150870321.6446978207135
Covariance89.5064620253165
Correlation0.414967787828212
Determination0.17219826493504
T-Test4.02808402040703
p-value (2 sided)0.000129581248484278
p-value (1 sided)6.47906242421392e-05
Degrees of Freedom78
Number of Observations80



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')