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Description of Statistical Computation

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, 18 Oct 2008 04:54:40 -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/18/t12243274606w4bomku4d1aw2o.htm/, Retrieved Sun, 19 May 2024 15:39:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16576, Retrieved Sun, 19 May 2024 15:39:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Back to Back Histogram] [Q8 - 1 2 ] [2008-10-18 09:47:41] [a0d819c22534897f04a2f0b92f1eb36a]
F   PD  [Back to Back Histogram] [Q8 - 1 3 ] [2008-10-18 09:53:12] [a0d819c22534897f04a2f0b92f1eb36a]
F RMP     [Pearson Correlation] [Q10 - 1 3] [2008-10-18 10:49:16] [a0d819c22534897f04a2f0b92f1eb36a]
F    D        [Pearson Correlation] [Q10 - 1 4] [2008-10-18 10:54:40] [5f3e73ccf1ddc75508eed47fa51813d3] [Current]
Feedback Forum
2008-10-27 19:12:14 [Nathalie Boden] [reply] 
Ook hier zien we een hoog correlatiepercentage namelijk 92%. Zo zien we dat er een sterke lineaire samenhang heerst.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12112
10875.2
9897.3
11672.1
12385.7
11405.6
9830.9
11025.1
10853.8
12252.6
11839.4
11669.1
11601.4
11178.4
9516.4
12102.8
12989
11610.2
10205.5
11356.2
11307.1
12648.6
11947.2
11714.1
12192.5
11268.8
9097.4
12639.8
13040.1
11687.3
11191.7
11391.9
11793.1
13933.2
12778.1
11810.3
13698.4
11956.6
10723.8
13938.9
13979.8
13807.4
12973.9
12509.8
12934.1
14908.3
13772.1
13012.6
14049.9
11816.5
11593.2
14466.2
13615.9
14733.9
13880.7
13527.5
13584
16170.2
13260.6
14741.9
15486.5
13154.5
12621.2
15031.6
15452.4
15428
13105.9
14716.8
14180
16202.2
14392.4
15140.6
15960.1
14351.3
13230.2
15202.1
17157.3
16159.1
13405.7
17224.7
17338.4
17370.6
18817.8
16593.2
17979.5
Dataseries Y:
Download CSV
Histogram 
3630,4
3519,9
3376,1
3057,9
3646,7
3585,5
3007,7
3545
3295,6
3390,3
3531,9
3738,7
3477
3338,3
3264,4
3452,4
4045,1
3660,5
3584,9
3819,9
3409,2
3643,5
3673,3
3645,2
3421,3
3531,4
3219,2
3552,3
3787,7
3392,7
3550
3681,9
3519,1
4283,2
4046,2
3824,9
4793,1
3977,7
3983,4
4152,9
4286,1
4348,1
3949,3
4166,7
4217,9
4528,2
4232,2
4470,9
5121,2
4170,8
4398,6
4491,4
4251,8
4901,9
4745,2
4666,9
4210,4
5273,6
4095,3
4610,1
4718,1
4185,5
4314,7
4422,6
5059,2
5043,6
4436,6
4922,6
4454,8
5058,7
4768,9
5171,8
4989,3
5202,1
4838,4
4876,5
5845,3
5686,3
4753,8
6620,4
5597,2
5643,5
6357,3
5909,1
6165,8

Tables (Output of Computation)





Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16576&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16576&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16576&T=0

As an alternative you can also use a QR Code:  
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'Gwilym Jenkins' @ 72.249.127.135






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean13249.15529411764273.35411764706
Biased Variance4181281.63282491636950.069541869
Biased Standard Deviation2044.81823955698798.091517021619
Covariance1522427.41661485
Correlation0.921912177615059
Determination0.84992206323494
T-Test21.6805438715897
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom83
Number of Observations85

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 13249.1552941176 & 4273.35411764706 \tabularnewline
Biased Variance & 4181281.63282491 & 636950.069541869 \tabularnewline
Biased Standard Deviation & 2044.81823955698 & 798.091517021619 \tabularnewline
Covariance & 1522427.41661485 \tabularnewline
Correlation & 0.921912177615059 \tabularnewline
Determination & 0.84992206323494 \tabularnewline
T-Test & 21.6805438715897 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 83 \tabularnewline
Number of Observations & 85 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16576&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]13249.1552941176[/C][C]4273.35411764706[/C][/ROW]
[ROW][C]Biased Variance[/C][C]4181281.63282491[/C][C]636950.069541869[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]2044.81823955698[/C][C]798.091517021619[/C][/ROW]
[ROW][C]Covariance[/C][C]1522427.41661485[/C][/ROW]
[ROW][C]Correlation[/C][C]0.921912177615059[/C][/ROW]
[ROW][C]Determination[/C][C]0.84992206323494[/C][/ROW]
[ROW][C]T-Test[/C][C]21.6805438715897[/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]83[/C][/ROW]
[ROW][C]Number of Observations[/C][C]85[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16576&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16576&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean13249.15529411764273.35411764706
Biased Variance4181281.63282491636950.069541869
Biased Standard Deviation2044.81823955698798.091517021619
Covariance1522427.41661485
Correlation0.921912177615059
Determination0.84992206323494
T-Test21.6805438715897
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom83
Number of Observations85


Figures (Output of Computation)

Input Parameters & R Code

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')