Free Statistics

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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 computationMon, 20 Oct 2008 15:48:50 -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/20/t12245393615ca40b7haxq038b.htm/, Retrieved Sun, 19 May 2024 15:51:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18205, Retrieved Sun, 19 May 2024 15:51:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [Investigating ass...] [2007-10-22 22:08:56] [8cd6641b921d30ebe00b648d1481bba0]
F    D  [Pearson Correlation] [Correlatie Frankr...] [2008-10-20 21:39:12] [3754dd41128068acfc463ebbabce5a9c]
F    D    [Pearson Correlation] [Correlatie Frankr...] [2008-10-20 21:45:12] [3754dd41128068acfc463ebbabce5a9c]
F    D        [Pearson Correlation] [Correlatie Frankr...] [2008-10-20 21:48:50] [02e7fb326979b65614900650d62c19a6] [Current]
F    D          [Pearson Correlation] [Correlatie Luxemb...] [2008-10-20 21:52:24] [3754dd41128068acfc463ebbabce5a9c]
F    D            [Pearson Correlation] [Correlatie Luxemb...] [2008-10-20 21:57:08] [3754dd41128068acfc463ebbabce5a9c]
F    D              [Pearson Correlation] [Correlatie Nederl...] [2008-10-20 21:59:25] [3754dd41128068acfc463ebbabce5a9c]
Feedback Forum
2008-10-26 12:01:15 [Lindsay Heyndrickx] [reply
Dit is een zeer goed correlatie dit is een goede interpretatie.

Post a new message
Dataseries X:
2333.3
2282.2
2458.2
2345.5
2065.2
2332.5
2077.5
1691.4
2381.9
2526
2212.1
2459.9
2178.8
2318.2
2661.8
2407.9
2040.6
2601.6
2106.3
1829.9
2546.1
2363
2435.8
2668
2316.9
2324.2
2610.8
2413.2
2345.2
2590.8
2132.1
1990.7
2641.7
2437.1
2649.2
2819.4
2405.6
2451.3
2878.5
2534.1
2670.6
2909.7
2261.8
2135.3
2870.4
2803.2
2775.1
2633.7
2930.6
2779.7
3039.2
2752.7
2743.1
2914
2711.9
2295.8
2840.6
3230.5
2761.1
2769.6
Dataseries Y:
3118.6
3089.8
3312.3
3106.1
2843.1
3300.4
3147.9
2742.7
3397.3
3461.4
3314.8
3248
2938
3473.8
3839.1
3601.9
3173.2
3938.3
3034.2
2900.5
4236.3
3433.4
3777.8
3709.8
3192.8
3640.2
4275.3
3708.9
3312.1
3948
3084.8
3412.8
4036.3
3608.7
3911.8
3857.3
3567.3
4022.2
4948.6
3645
3982.5
4175.4
3660.9
4019.7
4447.6
4211.6
4252.3
3703.1
4052.1
4462
4862.6
4114.4
4630.4
4694.1
4189.4
4158
4533.8
4906.2
4858.8
4059




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18205&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18205&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18205&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'Gwilym Jenkins' @ 72.249.127.135







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean2494.8853771.41166666667
Biased Variance92463.166275313229.614697222
Biased Standard Deviation304.077566214609559.669201133332
Covariance146739.600855932
Correlation0.847875929082202
Determination0.718893591117007
T-Test12.1789803339058
p-value (2 sided)0
p-value (1 sided)0
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 2494.885 & 3771.41166666667 \tabularnewline
Biased Variance & 92463.166275 & 313229.614697222 \tabularnewline
Biased Standard Deviation & 304.077566214609 & 559.669201133332 \tabularnewline
Covariance & 146739.600855932 \tabularnewline
Correlation & 0.847875929082202 \tabularnewline
Determination & 0.718893591117007 \tabularnewline
T-Test & 12.1789803339058 \tabularnewline
p-value (2 sided) & 0 \tabularnewline
p-value (1 sided) & 0 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18205&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]2494.885[/C][C]3771.41166666667[/C][/ROW]
[ROW][C]Biased Variance[/C][C]92463.166275[/C][C]313229.614697222[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]304.077566214609[/C][C]559.669201133332[/C][/ROW]
[ROW][C]Covariance[/C][C]146739.600855932[/C][/ROW]
[ROW][C]Correlation[/C][C]0.847875929082202[/C][/ROW]
[ROW][C]Determination[/C][C]0.718893591117007[/C][/ROW]
[ROW][C]T-Test[/C][C]12.1789803339058[/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]58[/C][/ROW]
[ROW][C]Number of Observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18205&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18205&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
Mean2494.8853771.41166666667
Biased Variance92463.166275313229.614697222
Biased Standard Deviation304.077566214609559.669201133332
Covariance146739.600855932
Correlation0.847875929082202
Determination0.718893591117007
T-Test12.1789803339058
p-value (2 sided)0
p-value (1 sided)0
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')