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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 computationWed, 28 Oct 2009 12:16:45 -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/2009/Oct/28/t12567540635kxbmytb4mz6u6e.htm/, Retrieved Sun, 05 May 2024 21:44:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51693, Retrieved Sun, 05 May 2024 21:44:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Part 2, Y[t] = c ...] [2009-10-28 18:16:45] [026d431dc78a3ce53a040b5408fc0322] [Current]
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Dataseries X:
115.6
111.3
114.6
137.5
83.7
106.0
123.4
126.5
120.0
141.6
90.5
96.5
113.5
120.1
123.9
144.4
90.8
114.2
138.1
135.0
131.3
144.6
101.7
108.7
135.3
124.3
138.3
158.2
93.5
124.8
154.4
152.8
148.9
170.3
124.8
134.4
154.0
147.9
168.1
175.7
116.7
140.8
164.2
173.8
167.8
166.6
135.1
158.1
151.8
166.7
165.3
187.0
125.2
144.4
181.7
175.9
166.3
181.5
121.8
134.8
162.9
Dataseries Y:
109.7
99.1
86.7
111.4
78.4
76.7
114.2
99.7
94.2
173.5
83.1
88.9
132.0
122.1
105.1
133.7
63.6
112.7
120.5
112.0
126.2
209.2
91.0
116.7
137.6
108.1
136.6
152.3
114.3
120.7
131.8
129.4
187.5
189.5
109.2
158.1
176.2
125.5
155.0
170.3
99.4
139.2
169.6
136.1
168.2
318.6
154.1
161.4
183.4
166.3
203
174.6
124.3
154.4
170.5
169.4
171.1
289.2
145.6
134.4
168.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51693&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51693&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51693&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean138.157377049180140.385245901639
Biased Variance651.541789841442028.25437248052
Biased Standard Deviation25.525316645272845.0361451778515
Covariance882.577360655738
Correlation0.755164993636281
Determination0.570274167613684
T-Test8.84855031454975
p-value (2 sided)2.04436467754476e-12
p-value (1 sided)1.02218233877238e-12
Degrees of Freedom59
Number of Observations61

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 138.157377049180 & 140.385245901639 \tabularnewline
Biased Variance & 651.54178984144 & 2028.25437248052 \tabularnewline
Biased Standard Deviation & 25.5253166452728 & 45.0361451778515 \tabularnewline
Covariance & 882.577360655738 \tabularnewline
Correlation & 0.755164993636281 \tabularnewline
Determination & 0.570274167613684 \tabularnewline
T-Test & 8.84855031454975 \tabularnewline
p-value (2 sided) & 2.04436467754476e-12 \tabularnewline
p-value (1 sided) & 1.02218233877238e-12 \tabularnewline
Degrees of Freedom & 59 \tabularnewline
Number of Observations & 61 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51693&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]138.157377049180[/C][C]140.385245901639[/C][/ROW]
[ROW][C]Biased Variance[/C][C]651.54178984144[/C][C]2028.25437248052[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]25.5253166452728[/C][C]45.0361451778515[/C][/ROW]
[ROW][C]Covariance[/C][C]882.577360655738[/C][/ROW]
[ROW][C]Correlation[/C][C]0.755164993636281[/C][/ROW]
[ROW][C]Determination[/C][C]0.570274167613684[/C][/ROW]
[ROW][C]T-Test[/C][C]8.84855031454975[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]2.04436467754476e-12[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]1.02218233877238e-12[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]59[/C][/ROW]
[ROW][C]Number of Observations[/C][C]61[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51693&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51693&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
Mean138.157377049180140.385245901639
Biased Variance651.541789841442028.25437248052
Biased Standard Deviation25.525316645272845.0361451778515
Covariance882.577360655738
Correlation0.755164993636281
Determination0.570274167613684
T-Test8.84855031454975
p-value (2 sided)2.04436467754476e-12
p-value (1 sided)1.02218233877238e-12
Degrees of Freedom59
Number of Observations61



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')