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 16:22:07 -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/21/t1224541551z19dqqx5pyegn4l.htm/, Retrieved Fri, 17 May 2024 10:51:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18260, Retrieved Fri, 17 May 2024 10:51:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact207
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Pearson Correlation] [Q4 Clothing produ...] [2007-10-20 14:33:09] [b731da8b544846036771bbf9bf2f34ce]
F    D  [Pearson Correlation] [Q5 Correlatie tus...] [2008-10-19 19:23:19] [cf9c64468d04c2c4dd548cc66b4e3677]
F    D    [Pearson Correlation] [Q10 assosications...] [2008-10-20 22:02:21] [cf9c64468d04c2c4dd548cc66b4e3677]
F    D      [Pearson Correlation] [Q10 assosications...] [2008-10-20 22:13:26] [cf9c64468d04c2c4dd548cc66b4e3677]
F    D          [Pearson Correlation] [Q10 assosications...] [2008-10-20 22:22:07] [e4cb5a8878d0401c2e8d19a1768b515b] [Current]
F    D            [Pearson Correlation] [Q10 assosications...] [2008-10-20 22:29:16] [cf9c64468d04c2c4dd548cc66b4e3677]
Feedback Forum
2008-10-24 10:31:25 [Kim Wester] [reply
Visueel gezien is er ook hier geen verband terwijl dit rekenkundig wel is (correlatie van 0,4301472411727). Dit getal was niet terug te vinden in het Word-document.

Post a new message
Dataseries X:
101,5
101,3
99,3
100,6
101,2
99,8
100,6
101,1
101,2
101,5
102,2
102,5
101,4
103,8
105,2
105,3
104,4
104,9
106,9
107,6
106,7
106,1
106,3
105,8
104,4
103,8
102,4
103,3
103,5
104,5
103,5
103,9
103,1
102,2
104,7
105,9
106,6
106,6
107,5
107,2
109
108,4
107
108
110,8
110,9
109,7
111
111,5
111
111,8
111,4
110,8
111,9
112,9
111,8
111
112,3
112,4
111,1
Dataseries Y:
92,1
88,5
84,6
87
83,6
84,8
84,1
84,1
80,5
82,6
85,6
83,3
86,1
84,7
85,7
84,9
84,2
85,2
86,1
86
84,5
87,2
83,5
81,9
78,5
81,1
79,2
80,9
81,8
79,4
83,4
81,1
79,8
79,7
84
83,7
83,5
83,6
86
86,8
86,9
89
87,8
86,8
88,8
85,9
86,7
87,9
88,5
88,7
88,1
85,7
86,1
85,7
84,3
86,4
85,4
86,9
85,6
86,4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18260&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18260&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18260&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean106.08333333333384.8483333333333
Biased Variance15.09305555555567.61716388888889
Biased Standard Deviation3.884978192416992.75992099323312
Covariance4.69031073446328
Correlation0.4301472411727
Determination0.185026649088485
T-Test3.62876993500297
p-value (2 sided)0.000603004358057602
p-value (1 sided)0.000301502179028801
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 106.083333333333 & 84.8483333333333 \tabularnewline
Biased Variance & 15.0930555555556 & 7.61716388888889 \tabularnewline
Biased Standard Deviation & 3.88497819241699 & 2.75992099323312 \tabularnewline
Covariance & 4.69031073446328 \tabularnewline
Correlation & 0.4301472411727 \tabularnewline
Determination & 0.185026649088485 \tabularnewline
T-Test & 3.62876993500297 \tabularnewline
p-value (2 sided) & 0.000603004358057602 \tabularnewline
p-value (1 sided) & 0.000301502179028801 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18260&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]106.083333333333[/C][C]84.8483333333333[/C][/ROW]
[ROW][C]Biased Variance[/C][C]15.0930555555556[/C][C]7.61716388888889[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]3.88497819241699[/C][C]2.75992099323312[/C][/ROW]
[ROW][C]Covariance[/C][C]4.69031073446328[/C][/ROW]
[ROW][C]Correlation[/C][C]0.4301472411727[/C][/ROW]
[ROW][C]Determination[/C][C]0.185026649088485[/C][/ROW]
[ROW][C]T-Test[/C][C]3.62876993500297[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.000603004358057602[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.000301502179028801[/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=18260&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18260&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
Mean106.08333333333384.8483333333333
Biased Variance15.09305555555567.61716388888889
Biased Standard Deviation3.884978192416992.75992099323312
Covariance4.69031073446328
Correlation0.4301472411727
Determination0.185026649088485
T-Test3.62876993500297
p-value (2 sided)0.000603004358057602
p-value (1 sided)0.000301502179028801
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')