Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationMon, 20 Oct 2008 13:51:27 -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/t1224532373hqzeyhxipykzgxu.htm/, Retrieved Wed, 29 May 2024 04:50:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18014, Retrieved Wed, 29 May 2024 04:50:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Central Tendency] [Q1 central tenden...] [2007-10-18 09:35:57] [b731da8b544846036771bbf9bf2f34ce]
F RM D  [Pearson Correlation] [Pearson Correlation] [2008-10-20 11:08:13] [8af599f2ccf50a86f2698320831f9f94]
F    D      [Pearson Correlation] [Verbruik Tabak/Ol...] [2008-10-20 19:51:27] [6d5cd2fe15d123a10639b4bf141c23b5] [Current]
Feedback Forum
2008-10-27 23:12:29 [Jeroen Michel] [reply
Ook bij deze laatste vergelijking is het aangeraden de opmerkingen van voorgaande vergelijkingen te lezen.

zie ook hier:

1)http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/20/t122453111942vvq5w48kufj3c.htm

2)http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/20/t12245313245prfko041cy9ggm.htm

3)http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/20/t12245315975j2g5igzfz3c8ye.htm

Post a new message
Dataseries X:
149,77
149,68
149,59
147,61
145,53
144,8
144,63
144,28
144,02
143,96
143,82
143,46
143,26
142,99
142,65
142,56
142,54
142,45
142,44
142,41
142,38
142,11
140,58
136,52
135,73
135,71
135,68
135,63
135,56
135,29
134,44
131,6
130,03
129,74
128,25
123,96
123,72
123,7
123,7
123,7
123,58
123,58
123,09
120,59
120,26
120,26
120,25
120,24
120,22
120,1
120,03
119,73
118,5
118,02
117,96
117,95
117,71
116,72
115,16
114,92
114,86
Dataseries Y:
57,42
56,12
59,15
63,77
63,96
57,81
55,3
51,8
53,26
53,38
45,85
44,23
40,22
44,61
49,14
42,94
41,84
37,75
35,54
37,13
33,19
32,67
30,52
30,7
29,59
28,76
29,08
26,95
29,58
28,24
27,28
25,48
24,87
29,87
32,33
30,23
27,46
24,46
27,34
28,37
26,09
25,59
24,67
25,61
25,97
24,31
20,36
19,82
19,32
19,2
21,74
26,29
25,9
25,36
27,64
28,57
25,38
25,71
27,6
25,85
26,54




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18014&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18014&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18014&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'Gwilym Jenkins' @ 72.249.127.135







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean131.87229508196734.1919672131148
Biased Variance124.818024240796147.046143671056
Biased Standard Deviation11.172198720072812.1262584365935
Covariance113.574007076503
Correlation0.824583978703782
Determination0.679938737934959
T-Test11.1955218403304
p-value (2 sided)4.44089209850063e-16
p-value (1 sided)2.22044604925031e-16
Degrees of Freedom59
Number of Observations61

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 131.872295081967 & 34.1919672131148 \tabularnewline
Biased Variance & 124.818024240796 & 147.046143671056 \tabularnewline
Biased Standard Deviation & 11.1721987200728 & 12.1262584365935 \tabularnewline
Covariance & 113.574007076503 \tabularnewline
Correlation & 0.824583978703782 \tabularnewline
Determination & 0.679938737934959 \tabularnewline
T-Test & 11.1955218403304 \tabularnewline
p-value (2 sided) & 4.44089209850063e-16 \tabularnewline
p-value (1 sided) & 2.22044604925031e-16 \tabularnewline
Degrees of Freedom & 59 \tabularnewline
Number of Observations & 61 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18014&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]131.872295081967[/C][C]34.1919672131148[/C][/ROW]
[ROW][C]Biased Variance[/C][C]124.818024240796[/C][C]147.046143671056[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]11.1721987200728[/C][C]12.1262584365935[/C][/ROW]
[ROW][C]Covariance[/C][C]113.574007076503[/C][/ROW]
[ROW][C]Correlation[/C][C]0.824583978703782[/C][/ROW]
[ROW][C]Determination[/C][C]0.679938737934959[/C][/ROW]
[ROW][C]T-Test[/C][C]11.1955218403304[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]4.44089209850063e-16[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]2.22044604925031e-16[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]59[/C][/ROW]
[ROW][C]Number of Observations[/C][C]61[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18014&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18014&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
Mean131.87229508196734.1919672131148
Biased Variance124.818024240796147.046143671056
Biased Standard Deviation11.172198720072812.1262584365935
Covariance113.574007076503
Correlation0.824583978703782
Determination0.679938737934959
T-Test11.1955218403304
p-value (2 sided)4.44089209850063e-16
p-value (1 sided)2.22044604925031e-16
Degrees of Freedom59
Number of Observations61



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')