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Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationTue, 08 Apr 2014 13:59:13 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Apr/08/t1396980019sefz1qpm0fp4voy.htm/, Retrieved Fri, 17 May 2024 03:23:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234426, Retrieved Fri, 17 May 2024 03:23:05 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Tor rate vs Emplo...] [2014-04-08 17:59:13] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
86.45
82.13
82.13
91
91
92
92
91
91
91
91
91
91
91
91
91
91
77
70
70
70
75.25
77
71.75
70
70
70
70
70
70
70
70
70
70
69.13
50
50
50
50
50
38.5
28
28
28
31
31
39.6
39.6
39.6
39.6
39.6
39.6
39.6
39.6
39.1
38.6
35
35
35
35
35
35
35
35
35
39.5
39.5
Dataseries Y:
56.1
56.0
55.1
57.7
57.1
58.1
55.7
55.8
57.3
57.6
55.3
56.0
55.4
55.6
55.7
55.3
55.5
55.9
56.6
56.8
57.4
57.9
57.9
56.4
56.9
57.8
58.2
56.0
56.7
57.4
58.8
60.0
59.7
59.4
58.1
57.1
59.1
60.2
60.5
61.2
61.9
62.9
63.2
61.8
61.5
61.5
62.1
63.1
63.0
63.6
64.0
64.2
64.6
64.3
62.8
62.4
62.2
62.4
63.1
63.3
62.7
59.9
58.5
58.4
58.6
58.5
58.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234426&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234426&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234426&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean60.146865671641859.1746268656716
Biased Variance507.3942245043448.23801292047226
Biased Standard Deviation22.52541285979782.8701938820352
Covariance-54.8856413387607
Correlation-0.836264925433124
Determination0.699339025509669
T-Test-12.2959483430473
p-value (2 sided)1.27711157909914e-18
p-value (1 sided)6.38555789549568e-19
Degrees of Freedom65
Number of Observations67

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 60.1468656716418 & 59.1746268656716 \tabularnewline
Biased Variance & 507.394224504344 & 8.23801292047226 \tabularnewline
Biased Standard Deviation & 22.5254128597978 & 2.8701938820352 \tabularnewline
Covariance & -54.8856413387607 \tabularnewline
Correlation & -0.836264925433124 \tabularnewline
Determination & 0.699339025509669 \tabularnewline
T-Test & -12.2959483430473 \tabularnewline
p-value (2 sided) & 1.27711157909914e-18 \tabularnewline
p-value (1 sided) & 6.38555789549568e-19 \tabularnewline
Degrees of Freedom & 65 \tabularnewline
Number of Observations & 67 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234426&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]60.1468656716418[/C][C]59.1746268656716[/C][/ROW]
[ROW][C]Biased Variance[/C][C]507.394224504344[/C][C]8.23801292047226[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]22.5254128597978[/C][C]2.8701938820352[/C][/ROW]
[ROW][C]Covariance[/C][C]-54.8856413387607[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.836264925433124[/C][/ROW]
[ROW][C]Determination[/C][C]0.699339025509669[/C][/ROW]
[ROW][C]T-Test[/C][C]-12.2959483430473[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]1.27711157909914e-18[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]6.38555789549568e-19[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]65[/C][/ROW]
[ROW][C]Number of Observations[/C][C]67[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234426&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234426&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
Mean60.146865671641859.1746268656716
Biased Variance507.3942245043448.23801292047226
Biased Standard Deviation22.52541285979782.8701938820352
Covariance-54.8856413387607
Correlation-0.836264925433124
Determination0.699339025509669
T-Test-12.2959483430473
p-value (2 sided)1.27711157909914e-18
p-value (1 sided)6.38555789549568e-19
Degrees of Freedom65
Number of Observations67



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
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', na.rm = T)
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')