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Author's title

Author*The author of this computation has been verified*
R Software Moduleslr.wasp
Title produced by softwareSimple Regression
Date of computationThu, 25 Nov 2010 21:03:13 +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/Nov/25/t12907189125dcz38ae5plhhhn.htm/, Retrieved Thu, 28 Mar 2024 20:11:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=101526, Retrieved Thu, 28 Mar 2024 20:11:46 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Arabica Price in ...] [2008-01-19 12:03:37] [74be16979710d4c4e7c6647856088456]
- RM D  [Mean Plot] [] [2010-11-16 19:28:51] [b98453cac15ba1066b407e146608df68]
-   P     [Mean Plot] [seasonality] [2010-11-19 18:19:34] [9894f466352df31a128e82ec8d720241]
-    D      [Mean Plot] [seasonality 1] [2010-11-19 18:27:09] [9894f466352df31a128e82ec8d720241]
-             [Mean Plot] [] [2010-11-24 09:07:52] [4dfa50539945b119a90a7606969443b9]
- RMPD          [Simple Regression] [] [2010-11-24 16:24:35] [4dfa50539945b119a90a7606969443b9]
-    D              [Simple Regression] [] [2010-11-25 21:03:13] [5a59313293e5c9f616ad36f6edd018c5] [Current]
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Dataseries X:
2.591,51
2.594,25
2.643,35
2.665,01
2.670,51
2.624,86
2.608,06
2.654,43
2.624,97
2.631,64
2.672,25
2.702,84
2.683,42
2.686,09
2.710,41
2.663,84
2.696,69
2.668,39
Dataseries Y:
0,482
0,514
0,521
0,545
0,632
0,707
0,745
0,764
0,791
0,798
0,805
0,729
0,371
0,365
0,456
0,579
0,664
0,683




Simple Linear Regression - Ungrouped Data
ParameterValueS.E.T-STATNotes
Constant2.500298
Beta-0.7084870.989232-0.716200 H0: beta = 0
Elasticity-3.0359934.239031-0.952103 H0: elast. = 1

\begin{tabular}{lllllllll}
\hline

Simple Linear Regression - Ungrouped Data \tabularnewline

Parameter & Value & S.E. & T-STAT & Notes \tabularnewline

Constant
2.500298 & & & \tabularnewline Beta-0.7084870.989232-0.716200 H0: beta = 0 \tabularnewline Elasticity-3.0359934.239031-0.952103 H0: elast. = 1 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=101526&T=0

[TABLE]

[ROW][C]Simple Linear Regression - Ungrouped Data[/C][/ROW]

[ROW][C]Parameter[/C][C]Value[/C][C]S.E.[/C][C]T-STAT[/C][C]Notes[/C][/ROW]

[ROW][C]Constant[/C]
2.500298[/C][C][/C][C][/C][C][/C][/ROW] [ROW][C]Beta[/C]-0.708487[/C]0.989232[/C]-0.716200[/C] H0: beta = 0[/C][/ROW] [ROW][C]Elasticity[/C]-3.035993[/C]4.239031[/C]-0.952103[/C] H0: elast. = 1[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=101526&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101526&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Simple Linear Regression - Ungrouped Data
ParameterValueS.E.T-STATNotes
Constant2.500298
Beta-0.7084870.989232-0.716200 H0: beta = 0
Elasticity-3.0359934.239031-0.952103 H0: elast. = 1







Simple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1.0000000.0111300.011130
Residual16.0000000.3471840.021699
Total17.0000000.3583150.021077
F-TEST0.512942

\begin{tabular}{lllllllll}
\hline

Simple Linear Regression - Analysis of Variance \tabularnewline

ANOVA & DF & Sum of Squares & Mean Square \tabularnewline

Regression
1.0000000.0111300.011130 \tabularnewline Residual16.0000000.3471840.021699 \tabularnewline Total17.0000000.3583150.021077 \tabularnewline F-TEST0.512942 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=101526&T=1

[TABLE]

[ROW][C]Simple Linear Regression - Analysis of Variance[/C][/ROW]

[ROW][C]ANOVA[/C][C]DF[/C][C]Sum of Squares[/C][C]Mean Square[/C][/ROW]

[ROW][C]Regression[/C]
1.000000[/C]0.011130[/C]0.011130[/C][/ROW] [ROW][C]Residual[/C]16.000000[/C]0.347184[/C]0.021699[/C][/ROW] [ROW][C]Total[/C]17.000000[/C]0.358315[/C]0.021077[/C][/ROW] [ROW][C]F-TEST[/C]0.512942[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=101526&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101526&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Simple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1.0000000.0111300.011130
Residual16.0000000.3471840.021699
Total17.0000000.3583150.021077
F-TEST0.512942







Simple Linear Regression - Autocorrelation
StatisticValue
Durbin-Watson0.552358
Von Neumann Ratio0.584850
rho - Least Squares0.678535
rho - Maximum Likelihood0.739124
rho - Serial Correlation0.707437
rho - Goldberger0.708182

\begin{tabular}{lllllllll}
\hline

Simple Linear Regression - Autocorrelation \tabularnewline

Statistic & Value \tabularnewline

Durbin-Watson
0.552358 \tabularnewline Von Neumann Ratio0.584850 \tabularnewline rho - Least Squares0.678535 \tabularnewline rho - Maximum Likelihood0.739124 \tabularnewline rho - Serial Correlation0.707437 \tabularnewline rho - Goldberger0.708182 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=101526&T=2

[TABLE]

[ROW][C]Simple Linear Regression - Autocorrelation[/C][/ROW]

[ROW][C]Statistic[/C][C]Value[/C][/ROW]

[ROW][C]Durbin-Watson[/C]
0.552358[/C][/ROW] [ROW][C]Von Neumann Ratio[/C]0.584850[/C][/ROW] [ROW][C]rho - Least Squares[/C]0.678535[/C][/ROW] [ROW][C]rho - Maximum Likelihood[/C]0.739124[/C][/ROW] [ROW][C]rho - Serial Correlation[/C]0.707437[/C][/ROW] [ROW][C]rho - Goldberger[/C]0.708182[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=101526&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101526&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Simple Linear Regression - Autocorrelation
StatisticValue
Durbin-Watson0.552358
Von Neumann Ratio0.584850
rho - Least Squares0.678535
rho - Maximum Likelihood0.739124
rho - Serial Correlation0.707437
rho - Goldberger0.708182







Simple Linear Regression - Descriptive Statistics
StatisticValue
Mean X2.654667
Biased Variance X0.001232
Biased S.E. X0.035098
Mean Y0.619500
Biased Variance Y0.019906
Biased S.E. Y0.141090
Mean F0.619500
Biased Variance F0.000618
Biased S.E. F0.024867
Mean e0.000000
Biased Variance e0.019288
Biased S.E. e0.034720

\begin{tabular}{lllllllll}
\hline

Simple Linear Regression - Descriptive Statistics \tabularnewline

Statistic & Value \tabularnewline

Mean X
2.654667 \tabularnewline Biased Variance X0.001232 \tabularnewline Biased S.E. X0.035098 \tabularnewline Mean Y0.619500 \tabularnewline Biased Variance Y0.019906 \tabularnewline Biased S.E. Y0.141090 \tabularnewline Mean F0.619500 \tabularnewline Biased Variance F0.000618 \tabularnewline Biased S.E. F0.024867 \tabularnewline Mean e0.000000 \tabularnewline Biased Variance e0.019288 \tabularnewline Biased S.E. e0.034720 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=101526&T=3

[TABLE]

[ROW][C]Simple Linear Regression - Descriptive Statistics[/C][/ROW]

[ROW][C]Statistic[/C][C]Value[/C][/ROW]

[ROW][C]Mean X[/C]
2.654667[/C][/ROW] [ROW][C]Biased Variance X[/C]0.001232[/C][/ROW] [ROW][C]Biased S.E. X[/C]0.035098[/C][/ROW] [ROW][C]Mean Y[/C]0.619500[/C][/ROW] [ROW][C]Biased Variance Y[/C]0.019906[/C][/ROW] [ROW][C]Biased S.E. Y[/C]0.141090[/C][/ROW] [ROW][C]Mean F[/C]0.619500[/C][/ROW] [ROW][C]Biased Variance F[/C]0.000618[/C][/ROW] [ROW][C]Biased S.E. F[/C]0.024867[/C][/ROW] [ROW][C]Mean e[/C]0.000000[/C][/ROW] [ROW][C]Biased Variance e[/C]0.019288[/C][/ROW] [ROW][C]Biased S.E. e[/C]0.034720[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=101526&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101526&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Simple Linear Regression - Descriptive Statistics
StatisticValue
Mean X2.654667
Biased Variance X0.001232
Biased S.E. X0.035098
Mean Y0.619500
Biased Variance Y0.019906
Biased S.E. Y0.141090
Mean F0.619500
Biased Variance F0.000618
Biased S.E. F0.024867
Mean e0.000000
Biased Variance e0.019288
Biased S.E. e0.034720



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):