Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationMon, 22 Oct 2007 11:37:40 -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/22/jrpsa6rekgg5asx1193078221.htm/, Retrieved Mon, 06 May 2024 00:49:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1502, Retrieved Mon, 06 May 2024 00:49:22 +0000
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Original text written by user:De correlatiecoëffiënt bedraagt 0,96. Er is een positief verband tussen de gezondheidsindex en de index van hotels, cafés en restaurants.
IsPrivate?No (this computation is public)
User-defined keywordsTaak2.10G19
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Relationship time...] [2007-10-22 18:37:40] [40a229849a2b804e343854d9b3fa1a24] [Current]
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Dataseries X:
106.48
106.83
107.14
107.94
108.46
108.81
108.92
108.99
109.16
109.22
109.43
109.23
109.93
110.09
110.33
110.11
110.35
110.09
110.44
110.39
110.62
110.43
110.46
110.55
110.94
111.56
111.82
111.73
111.57
111.85
112.06
112.2
112.47
112.15
112.36
112.32
112.67
113.02
113.05
113.5
113.67
113.65
114
114.03
114.08
114.49
114.48
114.25
114.68
115.28
115.9
115.87
116.09
116.29
116.76
116.78
116.65
116.46
116.82
116.91
Dataseries Y:
107,97
108,13
108,54
109,86
109,75
109,99
112,01
111,96
111,41
112,11
111,67
111,95
112,31
113,26
113,5
114,43
115,02
115,1
117,11
117,52
116,1
116,39
116,01
116,74
116,68
117,45
117,8
119,37
118,9
119,05
120,46
120,99
119,86
120,18
119,81
120,15
119,8
120,27
120,71
121,87
121,87
121,92
123,72
124,38
123,21
123,17
122,95
123,46
123,24
123,86
124,28
124,78
125,19
125,46
127,6
127,8
126,63
127,06
126,77
127,05




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=1502&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=1502&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1502&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
Mean112.1135118.609833333333
Biased Variance7.7062027530.7750616388889
Biased Standard Deviation2.776004818079395.54752752484284
Covariance15.3478565254237
Correlation0.98000617157469
Determination0.960412096324483
T-Test37.5112515956497
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 112.1135 & 118.609833333333 \tabularnewline
Biased Variance & 7.70620275 & 30.7750616388889 \tabularnewline
Biased Standard Deviation & 2.77600481807939 & 5.54752752484284 \tabularnewline
Covariance & 15.3478565254237 \tabularnewline
Correlation & 0.98000617157469 \tabularnewline
Determination & 0.960412096324483 \tabularnewline
T-Test & 37.5112515956497 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1502&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]112.1135[/C][C]118.609833333333[/C][/ROW]
[ROW][C]Biased Variance[/C][C]7.70620275[/C][C]30.7750616388889[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]2.77600481807939[/C][C]5.54752752484284[/C][/ROW]
[ROW][C]Covariance[/C][C]15.3478565254237[/C][/ROW]
[ROW][C]Correlation[/C][C]0.98000617157469[/C][/ROW]
[ROW][C]Determination[/C][C]0.960412096324483[/C][/ROW]
[ROW][C]T-Test[/C][C]37.5112515956497[/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]58[/C][/ROW]
[ROW][C]Number of Observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1502&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1502&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
Mean112.1135118.609833333333
Biased Variance7.7062027530.7750616388889
Biased Standard Deviation2.776004818079395.54752752484284
Covariance15.3478565254237
Correlation0.98000617157469
Determination0.960412096324483
T-Test37.5112515956497
p-value (2 sided)0
p-value (1 sided)0
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')