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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Moduleesteq.wasp
Title produced by softwareEstimate Equation
Date of computationWed, 21 Nov 2007 02:59:31 -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/Nov/21/t1195639315bh9zz7kgxgyrebw.htm/, Retrieved Tue, 07 May 2024 23:26:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=5835, Retrieved Tue, 07 May 2024 23:26:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact232

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Estimate Equation] [seatbelt law] [2007-11-21 09:59:31] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1687	0
1508	0
1507	0
1385	0
1632	0
1511	0
1559	0
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2242	0
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1623	0
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1976	0
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1689	0
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2654	0
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1963	0
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2012	0
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1887	0
2004	0
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2092	0
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1168	1
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1076	1
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1427	1
1487	1
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1513	1
1357	1
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1737	1
1763	1

Tables (Output of Computation)





Multiple Linear Regression - Estimated Regression Equation
saved[t] = -395.81114551084 belt[t] +2165.2263931889 -442.55069659442 M1[t] -617.8125 M2[t] -567.25 M3[t] -680.4375 M4[t] -543.125 M5[t] -598.875 M6[t] -523.25 M7[t] -508.375 M8[t] -455.5625 M9[t] -316.1875 M10[t] -116.625 M11[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
saved[t] = -395.81114551084 belt[t] +2165.2263931889 -442.55069659442 M1[t] -617.8125 M2[t] -567.25 M3[t] -680.4375 M4[t] -543.125 M5[t] -598.875 M6[t] -523.25 M7[t] -508.375 M8[t] -455.5625 M9[t] -316.1875 M10[t] -116.625 M11[t] + e[t] \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=5835&T=0

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW]
saved[t] = -395.81114551084 belt[t] +2165.2263931889 -442.55069659442 M1[t] -617.8125 M2[t] -567.25 M3[t] -680.4375 M4[t] -543.125 M5[t] -598.875 M6[t] -523.25 M7[t] -508.375 M8[t] -455.5625 M9[t] -316.1875 M10[t] -116.625 M11[t] + e[t][/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=5835&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5835&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:

Multiple Linear Regression - Estimated Regression Equation
saved[t] = -395.81114551084 belt[t] +2165.2263931889 -442.55069659442 M1[t] -617.8125 M2[t] -567.25 M3[t] -680.4375 M4[t] -543.125 M5[t] -598.875 M6[t] -523.25 M7[t] -508.375 M8[t] -455.5625 M9[t] -316.1875 M10[t] -116.625 M11[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STATH0: parameter = 02-tail p-value1-tail p-value
belt[t]-395.81114638.605577-10.25269300
Constant2165.22639343.63188149.62486900
M1[t]-442.55069761.373686-7.21075600
M2[t]-617.812561.326238-10.07419500
M3[t]-567.2561.326238-9.24971100
M4[t]-680.437561.326238-11.09537300
M5[t]-543.12561.326238-8.85632300
M6[t]-598.87561.326238-9.76539600
M7[t]-523.2561.326238-8.53223700
M8[t]-508.37561.326238-8.28968200
M9[t]-455.562561.326238-7.42850900
M10[t]-316.187561.326238-5.1558271E-060
M11[t]-116.62561.326238-1.9017150.0588150.029407
VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value
%belt[t]-0.0283870.002769-350.92400400
%Constant1.2963040.02612211.34306100
%M1[t]-0.0220790.003062-319.37363100
%M2[t]-0.0308230.00306-316.76286800
%M3[t]-0.0283010.00306-317.58735200
%M4[t]-0.0339480.00306-315.7416900
%M5[t]-0.0270970.00306-317.9807400
%M6[t]-0.0298780.00306-317.07166800
%M7[t]-0.0261050.00306-318.30482600
%M8[t]-0.0253630.00306-318.54738200
%M9[t]-0.0227280.00306-319.40855500
%M10[t]-0.0157750.00306-321.68123600
%M11[t]-0.0058190.00306-324.93534900
VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value
S-belt[t]-0.4449520.043399-10.25269300
S-Constant00010.5
S-M1[t]-0.4234450.058724-7.21075600
S-M2[t]-0.5911410.058679-10.07419500
S-M3[t]-0.5427610.058679-9.24971100
S-M4[t]-0.6510620.058679-11.09537300
S-M5[t]-0.5196770.058679-8.85632300
S-M6[t]-0.5730210.058679-9.76539600
S-M7[t]-0.500660.058679-8.53223700
S-M8[t]-0.4864280.058679-8.28968200
S-M9[t]-0.4358950.058679-7.42850900
S-M10[t]-0.3025370.058679-5.1558271E-060
S-M11[t]-0.111590.058679-1.9017150.0588150.029407
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
belt[t]-0.608259
Constant0.965525
M1[t]-0.474438
M2[t]-0.601523
M3[t]-0.568681
M4[t]-0.638354
M5[t]-0.551976
M6[t]-0.589559
M7[t]-0.537695
M8[t]-0.526694
M9[t]-0.485427
M10[t]-0.359588
M11[t]-0.140726
Critical Values (alpha = 5%)
1-tail CV at 5%1.65
2-tail CV at 5%1.96

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Ordinary Least Squares \tabularnewline
VariableParameterS.E.T-STATH0: parameter = 02-tail p-value1-tail p-value \tabularnewline belt[t]-395.81114638.605577-10.25269300 \tabularnewline Constant2165.22639343.63188149.62486900 \tabularnewline M1[t]-442.55069761.373686-7.21075600 \tabularnewline M2[t]-617.812561.326238-10.07419500 \tabularnewline M3[t]-567.2561.326238-9.24971100 \tabularnewline M4[t]-680.437561.326238-11.09537300 \tabularnewline M5[t]-543.12561.326238-8.85632300 \tabularnewline M6[t]-598.87561.326238-9.76539600 \tabularnewline M7[t]-523.2561.326238-8.53223700 \tabularnewline M8[t]-508.37561.326238-8.28968200 \tabularnewline M9[t]-455.562561.326238-7.42850900 \tabularnewline M10[t]-316.187561.326238-5.1558271E-060 \tabularnewline M11[t]-116.62561.326238-1.9017150.0588150.029407 \tabularnewline \tabularnewline VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value \tabularnewline %belt[t]-0.0283870.002769-350.92400400 \tabularnewline %Constant1.2963040.02612211.34306100 \tabularnewline %M1[t]-0.0220790.003062-319.37363100 \tabularnewline %M2[t]-0.0308230.00306-316.76286800 \tabularnewline %M3[t]-0.0283010.00306-317.58735200 \tabularnewline %M4[t]-0.0339480.00306-315.7416900 \tabularnewline %M5[t]-0.0270970.00306-317.9807400 \tabularnewline %M6[t]-0.0298780.00306-317.07166800 \tabularnewline %M7[t]-0.0261050.00306-318.30482600 \tabularnewline %M8[t]-0.0253630.00306-318.54738200 \tabularnewline %M9[t]-0.0227280.00306-319.40855500 \tabularnewline %M10[t]-0.0157750.00306-321.68123600 \tabularnewline %M11[t]-0.0058190.00306-324.93534900 \tabularnewline VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value \tabularnewline S-belt[t]-0.4449520.043399-10.25269300 \tabularnewline S-Constant00010.5 \tabularnewline S-M1[t]-0.4234450.058724-7.21075600 \tabularnewline S-M2[t]-0.5911410.058679-10.07419500 \tabularnewline S-M3[t]-0.5427610.058679-9.24971100 \tabularnewline S-M4[t]-0.6510620.058679-11.09537300 \tabularnewline S-M5[t]-0.5196770.058679-8.85632300 \tabularnewline S-M6[t]-0.5730210.058679-9.76539600 \tabularnewline S-M7[t]-0.500660.058679-8.53223700 \tabularnewline S-M8[t]-0.4864280.058679-8.28968200 \tabularnewline S-M9[t]-0.4358950.058679-7.42850900 \tabularnewline S-M10[t]-0.3025370.058679-5.1558271E-060 \tabularnewline S-M11[t]-0.111590.058679-1.9017150.0588150.029407 \tabularnewline *Notecomputed against deterministic endogenous series \tabularnewline VariablePartial Correlation \tabularnewline belt[t]-0.608259 \tabularnewline Constant0.965525 \tabularnewline M1[t]-0.474438 \tabularnewline M2[t]-0.601523 \tabularnewline M3[t]-0.568681 \tabularnewline M4[t]-0.638354 \tabularnewline M5[t]-0.551976 \tabularnewline M6[t]-0.589559 \tabularnewline M7[t]-0.537695 \tabularnewline M8[t]-0.526694 \tabularnewline M9[t]-0.485427 \tabularnewline M10[t]-0.359588 \tabularnewline M11[t]-0.140726 \tabularnewline Critical Values (alpha = 5%) \tabularnewline 1-tail CV at 5%1.65 \tabularnewline 2-tail CV at 5%1.96 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=5835&T=1

[TABLE]

[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]

[ROW]
Variable[/C]Parameter[/C]S.E.[/C]T-STATH0: parameter = 0[/C]2-tail p-value[/C]1-tail p-value[/C][/ROW] [ROW][C]belt[t][/C]-395.811146[/C]38.605577[/C]-10.252693[/C]0[/C]0[/C][/ROW] [ROW][C]Constant[/C]2165.226393[/C]43.631881[/C]49.624869[/C]0[/C]0[/C][/ROW] [ROW][C]M1[t][/C]-442.550697[/C]61.373686[/C]-7.210756[/C]0[/C]0[/C][/ROW] [ROW][C]M2[t][/C]-617.8125[/C]61.326238[/C]-10.074195[/C]0[/C]0[/C][/ROW] [ROW][C]M3[t][/C]-567.25[/C]61.326238[/C]-9.249711[/C]0[/C]0[/C][/ROW] [ROW][C]M4[t][/C]-680.4375[/C]61.326238[/C]-11.095373[/C]0[/C]0[/C][/ROW] [ROW][C]M5[t][/C]-543.125[/C]61.326238[/C]-8.856323[/C]0[/C]0[/C][/ROW] [ROW][C]M6[t][/C]-598.875[/C]61.326238[/C]-9.765396[/C]0[/C]0[/C][/ROW] [ROW][C]M7[t][/C]-523.25[/C]61.326238[/C]-8.532237[/C]0[/C]0[/C][/ROW] [ROW][C]M8[t][/C]-508.375[/C]61.326238[/C]-8.289682[/C]0[/C]0[/C][/ROW] [ROW][C]M9[t][/C]-455.5625[/C]61.326238[/C]-7.428509[/C]0[/C]0[/C][/ROW] [ROW][C]M10[t][/C]-316.1875[/C]61.326238[/C]-5.155827[/C]1E-06[/C]0[/C][/ROW] [ROW][C]M11[t][/C]-116.625[/C]61.326238[/C]-1.901715[/C]0.058815[/C]0.029407[/C][/ROW] [ROW][C][/C][/ROW] [ROW]Variable[/C]Elasticity[/C]S.E.*[/C]T-STATH0: |elast| = 1[/C]2-tail p-value[/C]1-tail p-value[/C][/ROW] [ROW][C]%belt[t][/C]-0.028387[/C]0.002769[/C]-350.924004[/C]0[/C]0[/C][/ROW] [ROW][C]%Constant[/C]1.296304[/C]0.026122[/C]11.343061[/C]0[/C]0[/C][/ROW] [ROW][C]%M1[t][/C]-0.022079[/C]0.003062[/C]-319.373631[/C]0[/C]0[/C][/ROW] [ROW][C]%M2[t][/C]-0.030823[/C]0.00306[/C]-316.762868[/C]0[/C]0[/C][/ROW] [ROW][C]%M3[t][/C]-0.028301[/C]0.00306[/C]-317.587352[/C]0[/C]0[/C][/ROW] [ROW][C]%M4[t][/C]-0.033948[/C]0.00306[/C]-315.74169[/C]0[/C]0[/C][/ROW] [ROW][C]%M5[t][/C]-0.027097[/C]0.00306[/C]-317.98074[/C]0[/C]0[/C][/ROW] [ROW][C]%M6[t][/C]-0.029878[/C]0.00306[/C]-317.071668[/C]0[/C]0[/C][/ROW] [ROW][C]%M7[t][/C]-0.026105[/C]0.00306[/C]-318.304826[/C]0[/C]0[/C][/ROW] [ROW][C]%M8[t][/C]-0.025363[/C]0.00306[/C]-318.547382[/C]0[/C]0[/C][/ROW] [ROW][C]%M9[t][/C]-0.022728[/C]0.00306[/C]-319.408555[/C]0[/C]0[/C][/ROW] [ROW][C]%M10[t][/C]-0.015775[/C]0.00306[/C]-321.681236[/C]0[/C]0[/C][/ROW] [ROW][C]%M11[t][/C]-0.005819[/C]0.00306[/C]-324.935349[/C]0[/C]0[/C][/ROW] [ROW]Variable[/C]Stand. Coeff.[/C]S.E.*[/C]T-STATH0: coeff = 0[/C]2-tail p-value[/C]1-tail p-value[/C][/ROW] [ROW][C]S-belt[t][/C]-0.444952[/C]0.043399[/C]-10.252693[/C]0[/C]0[/C][/ROW] [ROW][C]S-Constant[/C]0[/C]0[/C]0[/C]1[/C]0.5[/C][/ROW] [ROW][C]S-M1[t][/C]-0.423445[/C]0.058724[/C]-7.210756[/C]0[/C]0[/C][/ROW] [ROW][C]S-M2[t][/C]-0.591141[/C]0.058679[/C]-10.074195[/C]0[/C]0[/C][/ROW] [ROW][C]S-M3[t][/C]-0.542761[/C]0.058679[/C]-9.249711[/C]0[/C]0[/C][/ROW] [ROW][C]S-M4[t][/C]-0.651062[/C]0.058679[/C]-11.095373[/C]0[/C]0[/C][/ROW] [ROW][C]S-M5[t][/C]-0.519677[/C]0.058679[/C]-8.856323[/C]0[/C]0[/C][/ROW] [ROW][C]S-M6[t][/C]-0.573021[/C]0.058679[/C]-9.765396[/C]0[/C]0[/C][/ROW] [ROW][C]S-M7[t][/C]-0.50066[/C]0.058679[/C]-8.532237[/C]0[/C]0[/C][/ROW] [ROW][C]S-M8[t][/C]-0.486428[/C]0.058679[/C]-8.289682[/C]0[/C]0[/C][/ROW] [ROW][C]S-M9[t][/C]-0.435895[/C]0.058679[/C]-7.428509[/C]0[/C]0[/C][/ROW] [ROW][C]S-M10[t][/C]-0.302537[/C]0.058679[/C]-5.155827[/C]1E-06[/C]0[/C][/ROW] [ROW][C]S-M11[t][/C]-0.11159[/C]0.058679[/C]-1.901715[/C]0.058815[/C]0.029407[/C][/ROW] [ROW][C]*Note[/C]computed against deterministic endogenous series[/C][/ROW] [ROW]Variable[/C]Partial Correlation[/C][/ROW] [ROW][C]belt[t][/C]-0.608259[/C][/ROW] [ROW][C]Constant[/C]0.965525[/C][/ROW] [ROW][C]M1[t][/C]-0.474438[/C][/ROW] [ROW][C]M2[t][/C]-0.601523[/C][/ROW] [ROW][C]M3[t][/C]-0.568681[/C][/ROW] [ROW][C]M4[t][/C]-0.638354[/C][/ROW] [ROW][C]M5[t][/C]-0.551976[/C][/ROW] [ROW][C]M6[t][/C]-0.589559[/C][/ROW] [ROW][C]M7[t][/C]-0.537695[/C][/ROW] [ROW][C]M8[t][/C]-0.526694[/C][/ROW] [ROW][C]M9[t][/C]-0.485427[/C][/ROW] [ROW][C]M10[t][/C]-0.359588[/C][/ROW] [ROW][C]M11[t][/C]-0.140726[/C][/ROW] [ROW][C]Critical Values (alpha = 5%)[/C][/ROW] [ROW][C]1-tail CV at 5%[/C]1.65[/C][/ROW] [ROW][C]2-tail CV at 5%[/C]1.96[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=5835&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5835&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STATH0: parameter = 02-tail p-value1-tail p-value
belt[t]-395.81114638.605577-10.25269300
Constant2165.22639343.63188149.62486900
M1[t]-442.55069761.373686-7.21075600
M2[t]-617.812561.326238-10.07419500
M3[t]-567.2561.326238-9.24971100
M4[t]-680.437561.326238-11.09537300
M5[t]-543.12561.326238-8.85632300
M6[t]-598.87561.326238-9.76539600
M7[t]-523.2561.326238-8.53223700
M8[t]-508.37561.326238-8.28968200
M9[t]-455.562561.326238-7.42850900
M10[t]-316.187561.326238-5.1558271E-060
M11[t]-116.62561.326238-1.9017150.0588150.029407
VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value
%belt[t]-0.0283870.002769-350.92400400
%Constant1.2963040.02612211.34306100
%M1[t]-0.0220790.003062-319.37363100
%M2[t]-0.0308230.00306-316.76286800
%M3[t]-0.0283010.00306-317.58735200
%M4[t]-0.0339480.00306-315.7416900
%M5[t]-0.0270970.00306-317.9807400
%M6[t]-0.0298780.00306-317.07166800
%M7[t]-0.0261050.00306-318.30482600
%M8[t]-0.0253630.00306-318.54738200
%M9[t]-0.0227280.00306-319.40855500
%M10[t]-0.0157750.00306-321.68123600
%M11[t]-0.0058190.00306-324.93534900
VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value
S-belt[t]-0.4449520.043399-10.25269300
S-Constant00010.5
S-M1[t]-0.4234450.058724-7.21075600
S-M2[t]-0.5911410.058679-10.07419500
S-M3[t]-0.5427610.058679-9.24971100
S-M4[t]-0.6510620.058679-11.09537300
S-M5[t]-0.5196770.058679-8.85632300
S-M6[t]-0.5730210.058679-9.76539600
S-M7[t]-0.500660.058679-8.53223700
S-M8[t]-0.4864280.058679-8.28968200
S-M9[t]-0.4358950.058679-7.42850900
S-M10[t]-0.3025370.058679-5.1558271E-060
S-M11[t]-0.111590.058679-1.9017150.0588150.029407
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
belt[t]-0.608259
Constant0.965525
M1[t]-0.474438
M2[t]-0.601523
M3[t]-0.568681
M4[t]-0.638354
M5[t]-0.551976
M6[t]-0.589559
M7[t]-0.537695
M8[t]-0.526694
M9[t]-0.485427
M10[t]-0.359588
M11[t]-0.140726
Critical Values (alpha = 5%)
1-tail CV at 5%1.65
2-tail CV at 5%1.96






Multiple Linear Regression - Regression Statistics
Multiple R0.814751
R-squared0.66382
Adjusted R-squared0.641282
F-TEST29.454359
Observations192
Degrees of Freedom179
Multiple Linear Regression - Residual Statistics
Standard Error173.456795
Sum Squared Errors5385619.467492
Log Likelihood-1255.643961
Durbin-Watson0.707935
Von Neumann Ratio0.711642
# e[t] > 084
# e[t] < 0108
# Runs45
Stand. Normal Runs Statistic-7.424827

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Regression Statistics \tabularnewline

Multiple R
0.814751 \tabularnewline R-squared0.66382 \tabularnewline Adjusted R-squared0.641282 \tabularnewline F-TEST29.454359 \tabularnewline Observations192 \tabularnewline Degrees of Freedom179 \tabularnewline Multiple Linear Regression - Residual Statistics \tabularnewline Standard Error173.456795 \tabularnewline Sum Squared Errors5385619.467492 \tabularnewline Log Likelihood-1255.643961 \tabularnewline Durbin-Watson0.707935 \tabularnewline Von Neumann Ratio0.711642 \tabularnewline # e[t] > 084 \tabularnewline # e[t] < 0108 \tabularnewline # Runs45 \tabularnewline Stand. Normal Runs Statistic-7.424827 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=5835&T=2

[TABLE]

[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]

[ROW][C]Multiple R[/C]
0.814751[/C][/ROW] [ROW][C]R-squared[/C]0.66382[/C][/ROW] [ROW][C]Adjusted R-squared[/C]0.641282[/C][/ROW] [ROW][C]F-TEST[/C]29.454359[/C][/ROW] [ROW][C]Observations[/C]192[/C][/ROW] [ROW][C]Degrees of Freedom[/C]179[/C][/ROW] [ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW] [ROW][C]Standard Error[/C]173.456795[/C][/ROW] [ROW][C]Sum Squared Errors[/C]5385619.467492[/C][/ROW] [ROW][C]Log Likelihood[/C]-1255.643961[/C][/ROW] [ROW][C]Durbin-Watson[/C]0.707935[/C][/ROW] [ROW][C]Von Neumann Ratio[/C]0.711642[/C][/ROW] [ROW][C]# e[t] > 0[/C]84[/C][/ROW] [ROW][C]# e[t] < 0[/C]108[/C][/ROW] [ROW][C]# Runs[/C]45[/C][/ROW] [ROW][C]Stand. Normal Runs Statistic[/C]-7.424827[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=5835&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5835&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R0.814751
R-squared0.66382
Adjusted R-squared0.641282
F-TEST29.454359
Observations192
Degrees of Freedom179
Multiple Linear Regression - Residual Statistics
Standard Error173.456795
Sum Squared Errors5385619.467492
Log Likelihood-1255.643961
Durbin-Watson0.707935
Von Neumann Ratio0.711642
# e[t] > 084
# e[t] < 0108
# Runs45
Stand. Normal Runs Statistic-7.424827






Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error32124.417797
Akaike (1973) Log Information Criterion10.377164
Akaike (1974) Information Criterion32117.752459
Schwarz (1978) Log Criterion10.597724
Schwarz (1978) Criterion40043.585398
Craven-Wahba (1979) Generalized Cross Validation32272.367834
Hannan-Quinn (1979) Criterion35118.819699
Rice (1984) Criterion32443.490768
Shibata (1981) Criterion31848.552624

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Ad Hoc Selection Test Statistics \tabularnewline

Akaike (1969) Final Prediction Error
32124.417797 \tabularnewline Akaike (1973) Log Information Criterion10.377164 \tabularnewline Akaike (1974) Information Criterion32117.752459 \tabularnewline Schwarz (1978) Log Criterion10.597724 \tabularnewline Schwarz (1978) Criterion40043.585398 \tabularnewline Craven-Wahba (1979) Generalized Cross Validation32272.367834 \tabularnewline Hannan-Quinn (1979) Criterion35118.819699 \tabularnewline Rice (1984) Criterion32443.490768 \tabularnewline Shibata (1981) Criterion31848.552624 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=5835&T=3

[TABLE]

[ROW][C]Multiple Linear Regression - Ad Hoc Selection Test Statistics[/C][/ROW]

[ROW][C]Akaike (1969) Final Prediction Error[/C]
32124.417797[/C][/ROW] [ROW][C]Akaike (1973) Log Information Criterion[/C]10.377164[/C][/ROW] [ROW][C]Akaike (1974) Information Criterion[/C]32117.752459[/C][/ROW] [ROW][C]Schwarz (1978) Log Criterion[/C]10.597724[/C][/ROW] [ROW][C]Schwarz (1978) Criterion[/C]40043.585398[/C][/ROW] [ROW][C]Craven-Wahba (1979) Generalized Cross Validation[/C]32272.367834[/C][/ROW] [ROW][C]Hannan-Quinn (1979) Criterion[/C]35118.819699[/C][/ROW] [ROW][C]Rice (1984) Criterion[/C]32443.490768[/C][/ROW] [ROW][C]Shibata (1981) Criterion[/C]31848.552624[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=5835&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5835&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error32124.417797
Akaike (1973) Log Information Criterion10.377164
Akaike (1974) Information Criterion32117.752459
Schwarz (1978) Log Criterion10.597724
Schwarz (1978) Criterion40043.585398
Craven-Wahba (1979) Generalized Cross Validation32272.367834
Hannan-Quinn (1979) Criterion35118.819699
Rice (1984) Criterion32443.490768
Shibata (1981) Criterion31848.552624






Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1210634411.402299886200.950192
Residual1795385619.46749230087.259595
Total19116020030.86979283874.507171684
F-TEST29.454359
p-value0

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Analysis of Variance \tabularnewline

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

Regression
1210634411.402299886200.950192 \tabularnewline Residual1795385619.46749230087.259595 \tabularnewline Total19116020030.86979283874.507171684 \tabularnewline F-TEST29.454359 \tabularnewline p-value0 \tabularnewline
\hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=5835&T=4

[TABLE]

[ROW][C]Multiple 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]
12[/C]10634411.402299[/C]886200.950192[/C][/ROW] [ROW][C]Residual[/C]179[/C]5385619.467492[/C]30087.259595[/C][/ROW] [ROW][C]Total[/C]191[/C]16020030.869792[/C]83874.507171684[/C][/ROW] [ROW][C]F-TEST[/C]29.454359[/C][/ROW] [ROW][C]p-value[/C]0[/C][/ROW]
[/TABLE] Source: https://freestatistics.org/blog/index.php?pk=5835&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5835&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1210634411.402299886200.950192
Residual1795385619.46749230087.259595
Total19116020030.86979283874.507171684
F-TEST29.454359
p-value0


Figures (Output of Computation)

Input Parameters & R Code

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