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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationTue, 14 Dec 2010 22:23:18 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/14/t1292365312pq27bzngu7ebsij.htm/, Retrieved Fri, 03 May 2024 00:15:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110251, Retrieved Fri, 03 May 2024 00:15:03 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Competence to learn] [2010-11-17 07:43:53] [b98453cac15ba1066b407e146608df68]
- R PD  [Multiple Regression] [Workshop 7 - Firs...] [2010-11-19 10:36:36] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   P     [Multiple Regression] [Workshop 7 - Firs...] [2010-11-19 10:41:24] [8b017ffbf7b0eded54d8efebfb3e4cfa]
- R PD      [Multiple Regression] [] [2010-11-23 16:27:22] [1ad9dd03b6c5806e9fe90049663fcef1]
- RMPD          [Pearson Correlation] [correlatie PS - B...] [2010-12-14 22:23:18] [5f761c4a622da19727fd2adf71158b48] [Current]
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Dataseries X:
2
1.8
0.7
3.9
1
3.6
1.4
1.5
0.7
2.1
0
4.1
1.2
0.5
3.4
1.5
3.4
0.8
0.8
1.4
2
1.9
1.3
2
5.6
3.1
1.8
0.9
1.8
1.9
0.9
2.6
2.4
1.2
0.9
0.5
0.6
2.3
0.5
2.6
0.6
6.6
Dataseries Y:
6,6
4603
179,5
0,3
169
25,6
440
6,4
423
1,2
25
3,5
5
115
1
325
4
5,5
655
0,14
0,25
1320
0,4
0,33
6,3
10,8
15,5
115
11,4
180
12,1
1,9
50,4
179
12,3
21
175
2,6
12,3
2,5
58
3,9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 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 & 7 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110251&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]7 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=110251&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110251&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 time7 seconds
R Server'George Udny Yule' @ 72.249.76.132







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean1.9218.683809523810
Biased Variance1.88285714285714524279.511237868
Biased Standard Deviation1.37217241732121724.071482132716
Covariance-75.5983414634146
Correlation-0.074277402161834
Determination0.00551713247191083
T-Test-0.471072821924637
p-value (2 sided)0.64014781916443
p-value (1 sided)0.320073909582215
Degrees of Freedom40
Number of Observations42

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 1.9 & 218.683809523810 \tabularnewline
Biased Variance & 1.88285714285714 & 524279.511237868 \tabularnewline
Biased Standard Deviation & 1.37217241732121 & 724.071482132716 \tabularnewline
Covariance & -75.5983414634146 \tabularnewline
Correlation & -0.074277402161834 \tabularnewline
Determination & 0.00551713247191083 \tabularnewline
T-Test & -0.471072821924637 \tabularnewline
p-value (2 sided) & 0.64014781916443 \tabularnewline
p-value (1 sided) & 0.320073909582215 \tabularnewline
Degrees of Freedom & 40 \tabularnewline
Number of Observations & 42 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110251&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]1.9[/C][C]218.683809523810[/C][/ROW]
[ROW][C]Biased Variance[/C][C]1.88285714285714[/C][C]524279.511237868[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]1.37217241732121[/C][C]724.071482132716[/C][/ROW]
[ROW][C]Covariance[/C][C]-75.5983414634146[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.074277402161834[/C][/ROW]
[ROW][C]Determination[/C][C]0.00551713247191083[/C][/ROW]
[ROW][C]T-Test[/C][C]-0.471072821924637[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.64014781916443[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.320073909582215[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]40[/C][/ROW]
[ROW][C]Number of Observations[/C][C]42[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110251&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110251&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
Mean1.9218.683809523810
Biased Variance1.88285714285714524279.511237868
Biased Standard Deviation1.37217241732121724.071482132716
Covariance-75.5983414634146
Correlation-0.074277402161834
Determination0.00551713247191083
T-Test-0.471072821924637
p-value (2 sided)0.64014781916443
p-value (1 sided)0.320073909582215
Degrees of Freedom40
Number of Observations42



Parameters (Session):
par1 = pearson ;
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')