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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_Simple Regression Y ~ X.wasp
Title produced by softwareSimple Linear Regression
Date of computationSun, 16 May 2010 21:27:02 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/16/t1274045290voui4tu3ybm94nb.htm/, Retrieved Mon, 29 Apr 2024 06:54:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=76043, Retrieved Mon, 29 Apr 2024 06:54:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Simple Linear Regression] [PY2224 Mock Exam ...] [2010-04-28 07:33:16] [98fd0e87c3eb04e0cc2efde01dbafab6]
-    D  [Simple Linear Regression] [PY2224 May Mock E...] [2010-04-30 11:33:27] [98fd0e87c3eb04e0cc2efde01dbafab6]
-         [Simple Linear Regression] [PY2224 May Mock E...] [2010-04-30 11:37:32] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R  D        [Simple Linear Regression] [mock exam] [2010-05-16 21:27:02] [fef42b372a97e0ee30ed830922861f07] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.6	-41
1.8	55
5.2	30
4.1	0
0.4	17
2.7	-61
2.4	27
2.6	1
2.4	-67
7.2	80
3.7	-70
8.4	41
1.5	-37
8.0	0
0.0	7
7.1	-50
2.8	74
8.2	79
2.3	56
5.0	18
5.9	4
6.2	15
3.6	69
1.6	-6
3.2	32
2.6	57
1.6	59
5.8	68
2.8	-39
1.2	8
-1.5	-349
7.8	169
2.5	51
9.6	43
7.4	58

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=76043&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]0 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=76043&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=76043&T=0

As an alternative you can also use a QR Code:  
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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = 1 ; par3 = TRUE ;
Parameters (R input):
par1 = 2 ; par2 = 1 ; par3 = TRUE ;
R code (references can be found in the software module):
cat1 <- as#numeric#par1# #
cat2<- as#numeric#par2# #
intercept<-as#logical#par3#
x <- t#x#
xdf<-data#frame#t#y##
xdf <- data#frame#xdf##cat1##, xdf##cat2###
na#es#xdf#<-c#'Y', 'X'#
if#intercept == FALSE# #lmxdf<-lm#Y~ X - 1, data = xdf# # else #lmxdf<-lm#Y~ X, data = xdf# #
sumlmxdf<-summary#lmxdf#
load#file='createtable'#
a<-table#start##
nc <- ncol#sumlmxdf$'coefficients'#
nr <- nrow#sumlmxdf$'coefficients'#
a<-table#row#start#a#
a<-table#element#a,'Linear Regression Model', nc+1,TRUE#
a<-table#row#end#a#
a<-table#row#start#a#
a<-table#element#a, lmxdf$call#'formula'#,nc+1#
a<-table#row#end#a#
a<-table#row#start#a#
a<-table#element#a, 'coefficients:',1,TRUE#
a<-table#element#a, ' ',nc,TRUE#
a<-table#row#end#a#
a<-table#row#start#a#
a<-table#element#a, ' ',1,TRUE#
for#i in 1 : nc#{
a<-table#element#a, dimna#es#sumlmxdf$'coefficients'###2###i#,1,TRUE#
}#end header
a<-table#row#end#a#
for#i in 1: nr#{
a<-table#element#a,dimna#es#sumlmxdf$'coefficients'###1###i# ,1,TRUE#
for#j in 1 : nc#{
a<-table#element#a, round#sumlmxdf$coefficients#i, j#, digits=3#, 1 ,FALSE#
}# end cols
a<-table#row#end#a#
} #end rows
a<-table#row#start#a#
a<-table#element#a, '- - - ',1,TRUE#
a<-table#element#a, ' ',nc,FALSE#
a<-table#row#end#a#
a<-table#row#start#a#
a<-table#element#a, 'Residual Std# Err# ',1,TRUE#
a<-table#element#a, paste#round#sumlmxdf$'sigma', digits=3#, ' on ', sumlmxdf$'df'#2#, 'df'# ,nc, FALSE#
a<-table#row#end#a#
a<-table#row#start#a#
a<-table#element#a, 'Multiple R-sq# ',1,TRUE#
a<-table#element#a, round#sumlmxdf$'r#squared', digits=3# ,nc, FALSE#
a<-table#row#end#a#
a<-table#row#start#a#
a<-table#element#a, 'Adjusted R-sq# ',1,TRUE#
a<-table#element#a, round#sumlmxdf$'adj#r#squared', digits=3# ,nc, FALSE#
a<-table#row#end#a#
a<-table#end#a#
table#save#a,file='mytable#tab'#
a<-table#start##
a<-table#row#start#a#
a<-table#element#a,'ANOVA Statistics', 5+1,TRUE#
a<-table#row#end#a#
a<-table#row#start#a#
a<-table#element#a, ' ',1,TRUE#
a<-table#element#a, 'Df',1,TRUE#
a<-table#element#a, 'Sum Sq',1,TRUE#
a<-table#element#a, 'Mean Sq',1,TRUE#
a<-table#element#a, 'F value',1,TRUE#
a<-table#element#a, 'Pr#>F#',1,TRUE#
a<-table#row#end#a#
a<-table#row#start#a#
a<-table#element#a, V2,1,TRUE#
a<-table#element#a, anova#xdf$Df#1##
a<-table#element#a, round#anova#xdf$'Sum Sq'#1#, digits=3##
a<-table#element#a, round#anova#xdf$'Mean Sq'#1#, digits=3##
a<-table#element#a, round#anova#xdf$'F value'#1#, digits=3##
a<-table#element#a, round#anova#xdf$'Pr#>F#'#1#, digits=3##
a<-table#row#end#a#
a<-table#row#start#a#
a<-table#element#a, 'Residuals',1,TRUE#
a<-table#element#a, anova#xdf$Df#2##
a<-table#element#a, round#anova#xdf$'Sum Sq'#2#, digits=3##
a<-table#element#a, round#anova#xdf$'Mean Sq'#2#, digits=3##
a<-table#element#a, ' '#
a<-table#element#a, ' '#
a<-table#row#end#a#
a<-table#end#a#
table#save#a,file='mytable1#tab'#
bitmap#file='regressionplot#png'#
plot#Y~ X, data=xdf, xlab=V2, ylab=V1, main='Regression Solution'#
if#intercept == TRUE# abline#coef#lmxdf#, col='red'#
if#intercept == FALSE# abline#0#0, coef#lmxdf#, col='red'#
dev#off##
library#car#
bitmap#file='residualsQQplot#png'#
qq#plot#resid#lmxdf#, main='QQplot of Residuals of Fit'#
dev#off##
bitmap#file='residualsplot#png'#
plot#xdf$X, resid#lmxdf#, main='Scatterplot of Residuals of Model Fit'#
dev.off##