Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationMon, 20 Oct 2008 13:21:18 -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/2008/Oct/20/t1224530542kwwwux7uq5sefol.htm/, Retrieved Sat, 18 May 2024 09:32:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17944, Retrieved Sat, 18 May 2024 09:32:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [Investigating ass...] [2007-10-22 22:08:56] [8cd6641b921d30ebe00b648d1481bba0]
-   PD  [Pearson Correlation] [Correlatie - Vlaa...] [2008-10-19 12:38:17] [46c5a5fbda57fdfa1d4ef48658f82a0c]
-   PD    [Pearson Correlation] [Vergelijking prij...] [2008-10-20 19:10:21] [29647dffafb5b58c12a48dbf6cba2b57]
-    D        [Pearson Correlation] [Vergelijking econ...] [2008-10-20 19:21:18] [dbfa7caa6871c163dec68ca05d48bb00] [Current]
Feedback Forum

Post a new message
Dataseries X:
13
15
10
11
13
11
11
10
11
12
11
10
12
13
12
14
13
17
14
14
16
16
13
15
14
13
16
14
15
17
16
14
12
15
13
12
12
14
13
14
18
16
15
18
16
16
15
13
15
14
16
18
17
20
16
17
17
17
16
15
15
14
10
9
7
8
7
8
5
6
4
4
8
Dataseries Y:
42
39
40
38
32
27
19
27
27
28
23
25
32
24
32
38
43
44
49
47
46
53
47
54
48
44
45
49
49
52
58
51
39
32
32
38
27
37
42
45
51
50
49
51
53
54
60
54
60
62
63
55
63
64
64
72
66
66
62
60
54
56
40
37
30
32
31
24
20
15
4
7
14




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17944&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]4 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=17944&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17944&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 time4 seconds
R Server'George Udny Yule' @ 72.249.76.132







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean13.164383561643842.5616438356164
Biased Variance11.6990054419216224.65715894164
Biased Standard Deviation3.4203808913513714.9885676080685
Covariance43.4202815829528
Correlation0.835348446259504
Determination0.697807026668167
T-Test12.8042652594996
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom71
Number of Observations73

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 13.1643835616438 & 42.5616438356164 \tabularnewline
Biased Variance & 11.6990054419216 & 224.65715894164 \tabularnewline
Biased Standard Deviation & 3.42038089135137 & 14.9885676080685 \tabularnewline
Covariance & 43.4202815829528 \tabularnewline
Correlation & 0.835348446259504 \tabularnewline
Determination & 0.697807026668167 \tabularnewline
T-Test & 12.8042652594996 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 71 \tabularnewline
Number of Observations & 73 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17944&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]13.1643835616438[/C][C]42.5616438356164[/C][/ROW]
[ROW][C]Biased Variance[/C][C]11.6990054419216[/C][C]224.65715894164[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]3.42038089135137[/C][C]14.9885676080685[/C][/ROW]
[ROW][C]Covariance[/C][C]43.4202815829528[/C][/ROW]
[ROW][C]Correlation[/C][C]0.835348446259504[/C][/ROW]
[ROW][C]Determination[/C][C]0.697807026668167[/C][/ROW]
[ROW][C]T-Test[/C][C]12.8042652594996[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0[/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=17944&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17944&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
Mean13.164383561643842.5616438356164
Biased Variance11.6990054419216224.65715894164
Biased Standard Deviation3.4203808913513714.9885676080685
Covariance43.4202815829528
Correlation0.835348446259504
Determination0.697807026668167
T-Test12.8042652594996
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom71
Number of Observations73



Parameters (Session):
par1 = Investeringen ; par3 = Investeringen ;
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')