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 computationFri, 05 Dec 2008 06:30:17 -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/05/t1228483885236t57aowsh2zlc.htm/, Retrieved Thu, 16 May 2024 04:09:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29248, Retrieved Thu, 16 May 2024 04:09:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Inv vs nt duurz cons] [2008-12-05 13:30:17] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
Feedback Forum

Post a new message
Dataseries X:
93.0
99.2
112.2
112.1
103.3
108.2
90.4
72.8
111.0
117.9
111.3
110.5
94.8
100.4
132.1
114.6
101.9
130.2
84.0
86.4
122.3
120.9
110.2
112.6
102.0
105.0
130.5
115.5
103.7
130.9
89.1
93.8
123.8
111.9
118.3
116.9
103.6
116.6
141.3
107.0
125.2
136.4
91.6
95.3
132.3
130.6
131.9
118.6
114.3
111.3
126.5
112.1
119.3
142.4
101.1
97.4
129.1
136.9
129.8
123.9
Dataseries Y:
95,9
95,3
100,4
97,3
82,3
97,0
93,5
90,9
107,8
110,9
98,1
106,5
93,4
95,7
109,0
97,6
92,7
107,5
91,7
95,7
111,4
106,0
104,8
108,7
97,3
97,1
106,1
98,6
98,5
105,5
86,2
98,3
111,3
105,0
105,7
103,5
96,9
98,1
111,7
94,7
104,2
109,7
91,3
102,6
114,2
115,8
113,5
107,1
104,5
101,9
116,0
102,0
108,1
112,9
104,5
109,1
113,4
123,9
117,7
108,3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29248&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29248&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29248&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'George Udny Yule' @ 72.249.76.132







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean112.803333333333103.088333333333
Biased Variance234.04565555555667.3950305555556
Biased Standard Deviation15.29855076651238.20944764010074
Covariance102.057836158192
Correlation0.799066434492191
Determination0.638507166732063
T-Test10.1215503314375
p-value (2 sided)1.97619698383278e-14
p-value (1 sided)9.8809849191639e-15
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 112.803333333333 & 103.088333333333 \tabularnewline
Biased Variance & 234.045655555556 & 67.3950305555556 \tabularnewline
Biased Standard Deviation & 15.2985507665123 & 8.20944764010074 \tabularnewline
Covariance & 102.057836158192 \tabularnewline
Correlation & 0.799066434492191 \tabularnewline
Determination & 0.638507166732063 \tabularnewline
T-Test & 10.1215503314375 \tabularnewline
p-value (2 sided) & 1.97619698383278e-14 \tabularnewline
p-value (1 sided) & 9.8809849191639e-15 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29248&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]112.803333333333[/C][C]103.088333333333[/C][/ROW]
[ROW][C]Biased Variance[/C][C]234.045655555556[/C][C]67.3950305555556[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]15.2985507665123[/C][C]8.20944764010074[/C][/ROW]
[ROW][C]Covariance[/C][C]102.057836158192[/C][/ROW]
[ROW][C]Correlation[/C][C]0.799066434492191[/C][/ROW]
[ROW][C]Determination[/C][C]0.638507166732063[/C][/ROW]
[ROW][C]T-Test[/C][C]10.1215503314375[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]1.97619698383278e-14[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]9.8809849191639e-15[/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=29248&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29248&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
Mean112.803333333333103.088333333333
Biased Variance234.04565555555667.3950305555556
Biased Standard Deviation15.29855076651238.20944764010074
Covariance102.057836158192
Correlation0.799066434492191
Determination0.638507166732063
T-Test10.1215503314375
p-value (2 sided)1.97619698383278e-14
p-value (1 sided)9.8809849191639e-15
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')