Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationSun, 21 Oct 2007 13:24:19 -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/2007/Oct/21/ra5fee2ji0f7e111192997986.htm/, Retrieved Thu, 09 May 2024 04:09:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1291, Retrieved Thu, 09 May 2024 04:09:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Investigating Ass...] [2007-10-21 20:24:19] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
106,70
100,60
101,20
93,10
84,20
85,80
91,80
92,40
80,30
79,70
62,50
57,10
100,80
100,70
86,20
83,20
71,70
77,50
89,80
80,30
78,70
93,80
57,60
60,60
91,00
85,30
77,40
77,30
68,30
69,90
81,70
75,10
69,90
84,00
54,30
60,00
89,90
77,00
85,30
77,60
69,20
75,50
85,70
72,20
79,90
85,30
52,20
61,20
82,40
85,40
78,20
70,20
70,20
69,30
77,50
66,10
69,00
75,30
58,20
59,70
Dataseries Y:
112.70
118.40
108.10
105.40
114.60
106.90
115.90
109.80
101.80
114.20
110.80
108.40
127.50
128.60
116.60
127.40
105.00
108.30
125.00
111.60
106.50
130.30
115.00
116.10
134.00
126.50
125.80
136.40
114.90
110.90
125.50
116.80
116.80
125.50
104.20
115.10
132.80
123.30
124.80
122.00
117.40
117.90
137.40
114.60
124.70
129.60
109.40
120.90
134.90
136.30
133.20
127.20
122.70
120.50
137.80
119.10
124.30
134.30
121.70
125.00




Summary of compuational 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 compuational 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=1291&T=0

[TABLE]
[ROW][C]Summary of compuational 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=1291&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1291&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 compuational 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
Mean78.05120.151666666667
Biased Variance159.40183333333389.3981638888889
Biased Standard Deviation12.62544388658619.45506022661352
Covariance27.1366949152542
Correlation0.223535630688955
Determination0.0499681781875088
T-Test1.74659285156501
p-value (2 sided)0.086002039621196
p-value (1 sided)0.043001019810598
Degrees of Freedom58
Number of Observations60

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 78.05 & 120.151666666667 \tabularnewline
Biased Variance & 159.401833333333 & 89.3981638888889 \tabularnewline
Biased Standard Deviation & 12.6254438865861 & 9.45506022661352 \tabularnewline
Covariance & 27.1366949152542 \tabularnewline
Correlation & 0.223535630688955 \tabularnewline
Determination & 0.0499681781875088 \tabularnewline
T-Test & 1.74659285156501 \tabularnewline
p-value (2 sided) & 0.086002039621196 \tabularnewline
p-value (1 sided) & 0.043001019810598 \tabularnewline
Degrees of Freedom & 58 \tabularnewline
Number of Observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1291&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]78.05[/C][C]120.151666666667[/C][/ROW]
[ROW][C]Biased Variance[/C][C]159.401833333333[/C][C]89.3981638888889[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]12.6254438865861[/C][C]9.45506022661352[/C][/ROW]
[ROW][C]Covariance[/C][C]27.1366949152542[/C][/ROW]
[ROW][C]Correlation[/C][C]0.223535630688955[/C][/ROW]
[ROW][C]Determination[/C][C]0.0499681781875088[/C][/ROW]
[ROW][C]T-Test[/C][C]1.74659285156501[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.086002039621196[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.043001019810598[/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=1291&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1291&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
Mean78.05120.151666666667
Biased Variance159.40183333333389.3981638888889
Biased Standard Deviation12.62544388658619.45506022661352
Covariance27.1366949152542
Correlation0.223535630688955
Determination0.0499681781875088
T-Test1.74659285156501
p-value (2 sided)0.086002039621196
p-value (1 sided)0.043001019810598
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')