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 computationSat, 13 Dec 2008 08:55:15 -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/2008/Dec/13/t1229183770y1sjs2jz5qf3ayf.htm/, Retrieved Sun, 19 May 2024 03:59:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33163, Retrieved Sun, 19 May 2024 03:59:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Kernel Density Estimation] [VAC paper bidensity] [2008-12-11 12:10:57] [379d6c32f73e3218fd773d79e4063d07]
- RMP     [Pearson Correlation] [VAC Correlation] [2008-12-13 15:55:15] [490fee4f334e2e025c95681783e3fd0b] [Current]
Feedback Forum

Post a new message
Dataseries X:
124,1
124,4
115,7
108,3
102,3
104,6
104
103,5
96
96,6
95,4
92,1
93
90,4
93,3
97,1
111
114,1
113,3
111
107,2
118,3
134,1
139
116,7
112,5
122,8
130
125,6
123,8
135,8
136,4
135,3
149,5
159,6
161,4
175,2
199,5
245
257,8
Dataseries Y:
188,5
188,6
191,9
193,5
194,9
194,9
196,2
196,2
198
198,6
201,3
203,5
204,1
204,8
206,5
207,8
208,6
209,7
210
211,7
212,4
213,7
214,8
216,4
217,5
218,6
220,4
221,8
222,5
223,4
225,5
226,5
227,8
228,5
229,1
229,9
230,8
231,9
236
237,5




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=33163&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=33163&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33163&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
Mean126.8925212.3575
Biased Variance1369.86969375192.10544375
Biased Standard Deviation37.011750752294913.8602108118888
Covariance383.76275
Correlation0.729386916042154
Determination0.532005273293484
T-Test6.57248020973232
p-value (2 sided)9.36942747831182e-08
p-value (1 sided)4.68471373915591e-08
Degrees of Freedom38
Number of Observations40

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 126.8925 & 212.3575 \tabularnewline
Biased Variance & 1369.86969375 & 192.10544375 \tabularnewline
Biased Standard Deviation & 37.0117507522949 & 13.8602108118888 \tabularnewline
Covariance & 383.76275 \tabularnewline
Correlation & 0.729386916042154 \tabularnewline
Determination & 0.532005273293484 \tabularnewline
T-Test & 6.57248020973232 \tabularnewline
p-value (2 sided) & 9.36942747831182e-08 \tabularnewline
p-value (1 sided) & 4.68471373915591e-08 \tabularnewline
Degrees of Freedom & 38 \tabularnewline
Number of Observations & 40 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33163&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]126.8925[/C][C]212.3575[/C][/ROW]
[ROW][C]Biased Variance[/C][C]1369.86969375[/C][C]192.10544375[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]37.0117507522949[/C][C]13.8602108118888[/C][/ROW]
[ROW][C]Covariance[/C][C]383.76275[/C][/ROW]
[ROW][C]Correlation[/C][C]0.729386916042154[/C][/ROW]
[ROW][C]Determination[/C][C]0.532005273293484[/C][/ROW]
[ROW][C]T-Test[/C][C]6.57248020973232[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]9.36942747831182e-08[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]4.68471373915591e-08[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]38[/C][/ROW]
[ROW][C]Number of Observations[/C][C]40[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33163&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33163&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
Mean126.8925212.3575
Biased Variance1369.86969375192.10544375
Biased Standard Deviation37.011750752294913.8602108118888
Covariance383.76275
Correlation0.729386916042154
Determination0.532005273293484
T-Test6.57248020973232
p-value (2 sided)9.36942747831182e-08
p-value (1 sided)4.68471373915591e-08
Degrees of Freedom38
Number of Observations40



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')