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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 computationSat, 18 Apr 2009 19:08:29 -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/Apr/19/t1240103529yjuy5aneet17fa3.htm/, Retrieved Sat, 11 May 2024 18:55:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39243, Retrieved Sat, 11 May 2024 18:55:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact291
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [test3bb] [2009-04-19 01:08:29] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
66
50
86
86
61
80
80
80
70
64
79
84
80
65
75
60
40
73
59
95
84
62
35
98
40
84
59
70
66
41
54
53
75
73
79
80
50
50
80
96
72
77
90
60
65
92
55
70
38
59
70
70
80
70
79
50
73
55
66
66
63
70
80
79
68
50
37
84
77
63
48
61
41
70
80
50
91
88
75
63
84
64
68
72
70
79
66
63
77
64
84
59
93
45
78
94
54
59
55
70
61
69
37
84
55
37
39
64
80
61
77
82
91
64
80
48
59
50
99
Dataseries Y:
50
33
13
84
46
85
28
81
63
27
84
83
6
7
62
10
50
60
28
28
2
73
71
80
82
27
5
25
54
30
10
24
55
50
77
27
22
74
63
65
33
76
97
76
42
90
28
43
21
96
87
53
81
78
43
15
83
80
79
44
92
45
81
69
23
48
8
86
61
72
87
46
75
31
83
55
79
81
79
77
71
77
90
7
54
83
43
105
61
50
45
34
118
11
20
78
7
95
39
32
74
99
93
97
16
53
38
40
71
84
94
7
83
17
88
6
27
6
48




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39243&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]2 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=39243&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39243&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean6854.8571428571429
Biased Variance230.504201680672841.78631452581
Biased Standard Deviation15.18236482504229.0135539795767
Covariance124.796610169492
Correlation0.280929587315165
Determination0.0789214330290689
T-Test3.16622718779208
p-value (2 sided)0.00196941277557117
p-value (1 sided)0.000984706387785583
Degrees of Freedom117
Number of Observations119

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 68 & 54.8571428571429 \tabularnewline
Biased Variance & 230.504201680672 & 841.78631452581 \tabularnewline
Biased Standard Deviation & 15.182364825042 & 29.0135539795767 \tabularnewline
Covariance & 124.796610169492 \tabularnewline
Correlation & 0.280929587315165 \tabularnewline
Determination & 0.0789214330290689 \tabularnewline
T-Test & 3.16622718779208 \tabularnewline
p-value (2 sided) & 0.00196941277557117 \tabularnewline
p-value (1 sided) & 0.000984706387785583 \tabularnewline
Degrees of Freedom & 117 \tabularnewline
Number of Observations & 119 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39243&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]68[/C][C]54.8571428571429[/C][/ROW]
[ROW][C]Biased Variance[/C][C]230.504201680672[/C][C]841.78631452581[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]15.182364825042[/C][C]29.0135539795767[/C][/ROW]
[ROW][C]Covariance[/C][C]124.796610169492[/C][/ROW]
[ROW][C]Correlation[/C][C]0.280929587315165[/C][/ROW]
[ROW][C]Determination[/C][C]0.0789214330290689[/C][/ROW]
[ROW][C]T-Test[/C][C]3.16622718779208[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.00196941277557117[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.000984706387785583[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]117[/C][/ROW]
[ROW][C]Number of Observations[/C][C]119[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39243&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39243&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
Mean6854.8571428571429
Biased Variance230.504201680672841.78631452581
Biased Standard Deviation15.18236482504229.0135539795767
Covariance124.796610169492
Correlation0.280929587315165
Determination0.0789214330290689
T-Test3.16622718779208
p-value (2 sided)0.00196941277557117
p-value (1 sided)0.000984706387785583
Degrees of Freedom117
Number of Observations119



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')