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 16:29:16 -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/t1224541806qzcrrbe3vnhsaho.htm/, Retrieved Fri, 17 May 2024 08:56:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18266, Retrieved Fri, 17 May 2024 08:56:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact209
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] [cf9c64468d04c2c4dd548cc66b4e3677]
F    D            [Pearson Correlation] [Q10 assosications...] [2008-10-20 22:29:16] [e4cb5a8878d0401c2e8d19a1768b515b] [Current]
Feedback Forum
2008-10-24 10:32:19 [Kim Wester] [reply
Correct. Geen toevoegingen.

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:
112,5
111,3
104,5
112,3
109
110,3
114,1
108,3
112,1
114,5
110,3
112,6
108,2
110,5
115,1
115,9
112,6
115,3
113,8
111,2
119,9
107,3
110,9
117,8
112,7
111,8
102,1
115,5
109,4
114,8
111,8
114,8
111,1
107,1
112,5
113,5
115,3
114,7
116,9
113,7
123,8
117,6
118,1
120,7
120,8
125,7
125
124
123,4
125,1
124,4
121,1
122,5
142,4
133,8
131,4
126,7
128,7
110,7
110,2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18266&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18266&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18266&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'George Udny Yule' @ 72.249.76.132







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean106.083333333333116.068333333333
Biased Variance15.093055555555654.5141638888889
Biased Standard Deviation3.884978192416997.38337076739946
Covariance22.3289548022599
Correlation0.765465978128812
Determination0.585938163672699
T-Test9.0595637983264
p-value (2 sided)1.05759845325792e-12
p-value (1 sided)5.28799226628962e-13
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 & 116.068333333333 \tabularnewline
Biased Variance & 15.0930555555556 & 54.5141638888889 \tabularnewline
Biased Standard Deviation & 3.88497819241699 & 7.38337076739946 \tabularnewline
Covariance & 22.3289548022599 \tabularnewline
Correlation & 0.765465978128812 \tabularnewline
Determination & 0.585938163672699 \tabularnewline
T-Test & 9.0595637983264 \tabularnewline
p-value (2 sided) & 1.05759845325792e-12 \tabularnewline
p-value (1 sided) & 5.28799226628962e-13 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18266&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]116.068333333333[/C][/ROW]
[ROW][C]Biased Variance[/C][C]15.0930555555556[/C][C]54.5141638888889[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]3.88497819241699[/C][C]7.38337076739946[/C][/ROW]
[ROW][C]Covariance[/C][C]22.3289548022599[/C][/ROW]
[ROW][C]Correlation[/C][C]0.765465978128812[/C][/ROW]
[ROW][C]Determination[/C][C]0.585938163672699[/C][/ROW]
[ROW][C]T-Test[/C][C]9.0595637983264[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]1.05759845325792e-12[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]5.28799226628962e-13[/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=18266&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18266&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
Mean106.083333333333116.068333333333
Biased Variance15.093055555555654.5141638888889
Biased Standard Deviation3.884978192416997.38337076739946
Covariance22.3289548022599
Correlation0.765465978128812
Determination0.585938163672699
T-Test9.0595637983264
p-value (2 sided)1.05759845325792e-12
p-value (1 sided)5.28799226628962e-13
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')