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R Software Moduleesteq.wasp
Title produced by softwareEstimate Equation
Date of computationSun, 25 Nov 2007 13:46:43 -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/25/t1196023095a3jjl45tfqiajx0.htm/, Retrieved Sat, 04 May 2024 16:46:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6553, Retrieved Sat, 04 May 2024 16:46:11 +0000
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Estimated Impact183
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-       [Estimate Equation] [werkloosheid] [2007-11-25 20:46:43] [52c41ae5b11545a88aa57081ae5e5ffc] [Current]
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Dataseries X:
7.4	6.4	8.7
7.2	6.3	8.5
7	6	8.2
6.6	5.3	8.3
6.4	5.2	8
6.4	5.1	8.1
6.8	5.4	8.7
7.3	5.8	9.3
7	5.6	8.9
7	5.6	8.8
6.7	5.4	8.4
6.7	5.4	8.4
6.3	5.5	7.3
6.2	5.5	7.2
6	5.3	7
6.3	5.7	7
6.2	5.6	6.9
6.1	5.5	6.9
6.2	5.6	7.1
6.6	5.9	7.5
6.6	6	7.4
7.8	7	8.9
7.4	6.6	8.3
7.4	6.6	8.3
7.5	6.3	9
7.4	6.3	8.9
7.4	6.3	8.8
7	6.3	7.8
6.9	6.2	7.8
6.9	6.2	7.8
7.6	6.3	9.2
7.7	6.4	9.3
7.6	6.4	9.2
8.2	7.8	8.6
8	7.7	8.5
8.1	7.7	8.5
8.3	7.7	9
8.2	7.7	9
8.1	7.6	8.8
7.7	7.5	8
7.6	7.4	7.9
7.7	7.4	8.1
8.2	7.5	9.3
8.4	7.6	9.4
8.4	7.6	9.4
8.6	8.1	9.3
8.4	7.8	9
8.5	8	9.1
8.7	7.9	9.7
8.7	7.9	9.7
8.6	7.8	9.6
7.4	6.7	8.3
7.3	6.6	8.2
7.4	6.6	8.4
9	7.7	10.6
9.2	7.9	10.9
9.2	8	10.9
8.5	7.7	9.6
8.3	7.5	9.3
8.3	7.6	9.3
8.6	7.8	9.6
8.6	7.8	9.5
8.5	7.7	9.5
8.1	7.4	9
8.1	7.5	8.9
8	7.2	9
8.6	7.5	10.1
8.7	7.6	10.2
8.7	7.6	10.2
8.6	7.8	9.5
8.4	7.7	9.3
8.4	7.7	9.3
8.7	8.2	9.4
8.7	8.2	9.3
8.5	8.1	9.1
8.3	7.8	9
8.3	7.8	8.9
8.3	7.7	9
8.1	6.7	9.8
8.2	6.7	10
8.1	6.7	9.8
8.1	7.2	9.4
7.9	6.9	9
7.7	6.8	8.9
8.1	7.2	9.3
8	7.1	9.1
7.7	6.9	8.8
7.8	6.9	8.9
7.6	6.7	8.7
7.4	6.5	8.6
7.7	6.6	9.1
7.9	6.6	9.3
7.6	6.5	8.9




Multiple Linear Regression - Estimated Regression Equation
Totaal[t] = +0.55742110478809 Mannen[t] +0.43344772699428 Vrouwen[t] +0.055348593879675 +0.00048372972638349 t^1 +0.001679843048578 M1[t] -0.017491045811445 M2[t] -0.014508561952714 M3[t] -0.0050033305650235 M4[t] -0.0085320521052051 M5[t] -0.011749710330115 M6[t] -0.021359109506364 M7[t] +0.010214603847662 M8[t] -0.017316743566912 M9[t] -0.010078157517314 M10[t] +0.017377506458741 M11[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Totaal[t] = +0.55742110478809 Mannen[t] +0.43344772699428 Vrouwen[t] +0.055348593879675 +0.00048372972638349 t^1 +0.001679843048578 M1[t] -0.017491045811445 M2[t] -0.014508561952714 M3[t] -0.0050033305650235 M4[t] -0.0085320521052051 M5[t] -0.011749710330115 M6[t] -0.021359109506364 M7[t] +0.010214603847662 M8[t] -0.017316743566912 M9[t] -0.010078157517314 M10[t] +0.017377506458741 M11[t] + e[t] \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=6553&T=0

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW]
Totaal[t] = +0.55742110478809 Mannen[t] +0.43344772699428 Vrouwen[t] +0.055348593879675 +0.00048372972638349 t^1 +0.001679843048578 M1[t] -0.017491045811445 M2[t] -0.014508561952714 M3[t] -0.0050033305650235 M4[t] -0.0085320521052051 M5[t] -0.011749710330115 M6[t] -0.021359109506364 M7[t] +0.010214603847662 M8[t] -0.017316743566912 M9[t] -0.010078157517314 M10[t] +0.017377506458741 M11[t] + e[t][/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=6553&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6553&T=0

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
Totaal[t] = +0.55742110478809 Mannen[t] +0.43344772699428 Vrouwen[t] +0.055348593879675 +0.00048372972638349 t^1 +0.001679843048578 M1[t] -0.017491045811445 M2[t] -0.014508561952714 M3[t] -0.0050033305650235 M4[t] -0.0085320521052051 M5[t] -0.011749710330115 M6[t] -0.021359109506364 M7[t] +0.010214603847662 M8[t] -0.017316743566912 M9[t] -0.010078157517314 M10[t] +0.017377506458741 M11[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STATH0: parameter = 02-tail p-value1-tail p-value
Mannen[t]0.5574210.00704779.10190300
Vrouwen[t]0.4334480.00799854.19490200
Constant0.0553490.0573430.965220.3374180.168709
t^10.0004840.0001972.4522520.016430.008215
M1[t]0.001680.0192510.0872610.9306880.465344
M2[t]-0.0174910.019156-0.9130870.364010.182005
M3[t]-0.0145090.01914-0.7580370.4507130.225357
M4[t]-0.0050030.01944-0.2573670.7975730.398787
M5[t]-0.0085320.019585-0.4356390.6643020.332151
M6[t]-0.011750.019611-0.5991390.5508160.275408
M7[t]-0.0213590.019937-1.0713090.2873340.143667
M8[t]0.0102150.0202340.504820.6151080.307554
M9[t]-0.0173170.019915-0.8695270.3872270.193613
M10[t]-0.0100780.019906-0.5062760.6140910.307046
M11[t]0.0173780.0197590.8794830.3818410.19092
VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value
%Mannen[t]0.4959240.006269-80.40225300
%Vrouwen[t]0.4948620.009131-55.32031400
%Constant0.0071430.007401-134.15829400
%t^10.0029340.001196-833.48776200
%M1[t]1.9E-050.000214-4678.92729400
%M2[t]-0.0001940.000213-4701.2832300
%M3[t]-0.0001610.000212-4705.43937800
%M4[t]-5.6E-050.000216-4633.12072100
%M5[t]-9.5E-050.000217-4598.70930700
%M6[t]-0.000130.000218-4592.49148700
%M7[t]-0.0002370.000221-4516.82074700
%M8[t]0.0001130.000225-4451.12851700
%M9[t]-0.0001920.000221-4522.07428700
%M10[t]-9.8E-050.000193-5170.82183400
%M11[t]0.0001690.000192-5209.10270300
VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value
S-Mannen[t]0.6219980.00786379.10190300
S-Vrouwen[t]0.4617630.0085254.19490200
S-Constant00010.5
S-t^10.0165680.0067562.4522520.016430.008215
S-M1[t]0.0006010.0068820.0872610.9306880.465344
S-M2[t]-0.0062530.006848-0.9130870.364010.182005
S-M3[t]-0.0051870.006842-0.7580370.4507130.225357
S-M4[t]-0.0017890.00695-0.2573670.7975730.398787
S-M5[t]-0.003050.007002-0.4356390.6643020.332151
S-M6[t]-0.00420.007011-0.5991390.5508160.275408
S-M7[t]-0.0076360.007127-1.0713090.2873340.143667
S-M8[t]0.0036520.0072340.504820.6151080.307554
S-M9[t]-0.0061910.00712-0.8695270.3872270.193613
S-M10[t]-0.003390.006696-0.5062760.6140910.307046
S-M11[t]0.0058450.0066460.8794830.3818410.19092
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
Mannen[t]0.993825
Vrouwen[t]0.98698
Constant0.108643
t^10.267541
M1[t]0.00988
M2[t]-0.102839
M3[t]-0.085516
M4[t]-0.029129
M5[t]-0.049266
M6[t]-0.067684
M7[t]-0.120419
M8[t]0.057066
M9[t]-0.097981
M10[t]-0.05723
M11[t]0.099092
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 Mannen[t]0.5574210.00704779.10190300 \tabularnewline Vrouwen[t]0.4334480.00799854.19490200 \tabularnewline Constant0.0553490.0573430.965220.3374180.168709 \tabularnewline t^10.0004840.0001972.4522520.016430.008215 \tabularnewline M1[t]0.001680.0192510.0872610.9306880.465344 \tabularnewline M2[t]-0.0174910.019156-0.9130870.364010.182005 \tabularnewline M3[t]-0.0145090.01914-0.7580370.4507130.225357 \tabularnewline M4[t]-0.0050030.01944-0.2573670.7975730.398787 \tabularnewline M5[t]-0.0085320.019585-0.4356390.6643020.332151 \tabularnewline M6[t]-0.011750.019611-0.5991390.5508160.275408 \tabularnewline M7[t]-0.0213590.019937-1.0713090.2873340.143667 \tabularnewline M8[t]0.0102150.0202340.504820.6151080.307554 \tabularnewline M9[t]-0.0173170.019915-0.8695270.3872270.193613 \tabularnewline M10[t]-0.0100780.019906-0.5062760.6140910.307046 \tabularnewline M11[t]0.0173780.0197590.8794830.3818410.19092 \tabularnewline \tabularnewline VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value \tabularnewline %Mannen[t]0.4959240.006269-80.40225300 \tabularnewline %Vrouwen[t]0.4948620.009131-55.32031400 \tabularnewline %Constant0.0071430.007401-134.15829400 \tabularnewline %t^10.0029340.001196-833.48776200 \tabularnewline %M1[t]1.9E-050.000214-4678.92729400 \tabularnewline %M2[t]-0.0001940.000213-4701.2832300 \tabularnewline %M3[t]-0.0001610.000212-4705.43937800 \tabularnewline %M4[t]-5.6E-050.000216-4633.12072100 \tabularnewline %M5[t]-9.5E-050.000217-4598.70930700 \tabularnewline %M6[t]-0.000130.000218-4592.49148700 \tabularnewline %M7[t]-0.0002370.000221-4516.82074700 \tabularnewline %M8[t]0.0001130.000225-4451.12851700 \tabularnewline %M9[t]-0.0001920.000221-4522.07428700 \tabularnewline %M10[t]-9.8E-050.000193-5170.82183400 \tabularnewline %M11[t]0.0001690.000192-5209.10270300 \tabularnewline VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value \tabularnewline S-Mannen[t]0.6219980.00786379.10190300 \tabularnewline S-Vrouwen[t]0.4617630.0085254.19490200 \tabularnewline S-Constant00010.5 \tabularnewline S-t^10.0165680.0067562.4522520.016430.008215 \tabularnewline S-M1[t]0.0006010.0068820.0872610.9306880.465344 \tabularnewline S-M2[t]-0.0062530.006848-0.9130870.364010.182005 \tabularnewline S-M3[t]-0.0051870.006842-0.7580370.4507130.225357 \tabularnewline S-M4[t]-0.0017890.00695-0.2573670.7975730.398787 \tabularnewline S-M5[t]-0.003050.007002-0.4356390.6643020.332151 \tabularnewline S-M6[t]-0.00420.007011-0.5991390.5508160.275408 \tabularnewline S-M7[t]-0.0076360.007127-1.0713090.2873340.143667 \tabularnewline S-M8[t]0.0036520.0072340.504820.6151080.307554 \tabularnewline S-M9[t]-0.0061910.00712-0.8695270.3872270.193613 \tabularnewline S-M10[t]-0.003390.006696-0.5062760.6140910.307046 \tabularnewline S-M11[t]0.0058450.0066460.8794830.3818410.19092 \tabularnewline *Notecomputed against deterministic endogenous series \tabularnewline VariablePartial Correlation \tabularnewline Mannen[t]0.993825 \tabularnewline Vrouwen[t]0.98698 \tabularnewline Constant0.108643 \tabularnewline t^10.267541 \tabularnewline M1[t]0.00988 \tabularnewline M2[t]-0.102839 \tabularnewline M3[t]-0.085516 \tabularnewline M4[t]-0.029129 \tabularnewline M5[t]-0.049266 \tabularnewline M6[t]-0.067684 \tabularnewline M7[t]-0.120419 \tabularnewline M8[t]0.057066 \tabularnewline M9[t]-0.097981 \tabularnewline M10[t]-0.05723 \tabularnewline M11[t]0.099092 \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=6553&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]Mannen[t][/C]0.557421[/C]0.007047[/C]79.101903[/C]0[/C]0[/C][/ROW] [ROW][C]Vrouwen[t][/C]0.433448[/C]0.007998[/C]54.194902[/C]0[/C]0[/C][/ROW] [ROW][C]Constant[/C]0.055349[/C]0.057343[/C]0.96522[/C]0.337418[/C]0.168709[/C][/ROW] [ROW][C]t^1[/C]0.000484[/C]0.000197[/C]2.452252[/C]0.01643[/C]0.008215[/C][/ROW] [ROW][C]M1[t][/C]0.00168[/C]0.019251[/C]0.087261[/C]0.930688[/C]0.465344[/C][/ROW] [ROW][C]M2[t][/C]-0.017491[/C]0.019156[/C]-0.913087[/C]0.36401[/C]0.182005[/C][/ROW] [ROW][C]M3[t][/C]-0.014509[/C]0.01914[/C]-0.758037[/C]0.450713[/C]0.225357[/C][/ROW] [ROW][C]M4[t][/C]-0.005003[/C]0.01944[/C]-0.257367[/C]0.797573[/C]0.398787[/C][/ROW] [ROW][C]M5[t][/C]-0.008532[/C]0.019585[/C]-0.435639[/C]0.664302[/C]0.332151[/C][/ROW] [ROW][C]M6[t][/C]-0.01175[/C]0.019611[/C]-0.599139[/C]0.550816[/C]0.275408[/C][/ROW] [ROW][C]M7[t][/C]-0.021359[/C]0.019937[/C]-1.071309[/C]0.287334[/C]0.143667[/C][/ROW] [ROW][C]M8[t][/C]0.010215[/C]0.020234[/C]0.50482[/C]0.615108[/C]0.307554[/C][/ROW] [ROW][C]M9[t][/C]-0.017317[/C]0.019915[/C]-0.869527[/C]0.387227[/C]0.193613[/C][/ROW] [ROW][C]M10[t][/C]-0.010078[/C]0.019906[/C]-0.506276[/C]0.614091[/C]0.307046[/C][/ROW] [ROW][C]M11[t][/C]0.017378[/C]0.019759[/C]0.879483[/C]0.381841[/C]0.19092[/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]%Mannen[t][/C]0.495924[/C]0.006269[/C]-80.402253[/C]0[/C]0[/C][/ROW] [ROW][C]%Vrouwen[t][/C]0.494862[/C]0.009131[/C]-55.320314[/C]0[/C]0[/C][/ROW] [ROW][C]%Constant[/C]0.007143[/C]0.007401[/C]-134.158294[/C]0[/C]0[/C][/ROW] [ROW][C]%t^1[/C]0.002934[/C]0.001196[/C]-833.487762[/C]0[/C]0[/C][/ROW] [ROW][C]%M1[t][/C]1.9E-05[/C]0.000214[/C]-4678.927294[/C]0[/C]0[/C][/ROW] [ROW][C]%M2[t][/C]-0.000194[/C]0.000213[/C]-4701.28323[/C]0[/C]0[/C][/ROW] [ROW][C]%M3[t][/C]-0.000161[/C]0.000212[/C]-4705.439378[/C]0[/C]0[/C][/ROW] [ROW][C]%M4[t][/C]-5.6E-05[/C]0.000216[/C]-4633.120721[/C]0[/C]0[/C][/ROW] [ROW][C]%M5[t][/C]-9.5E-05[/C]0.000217[/C]-4598.709307[/C]0[/C]0[/C][/ROW] [ROW][C]%M6[t][/C]-0.00013[/C]0.000218[/C]-4592.491487[/C]0[/C]0[/C][/ROW] [ROW][C]%M7[t][/C]-0.000237[/C]0.000221[/C]-4516.820747[/C]0[/C]0[/C][/ROW] [ROW][C]%M8[t][/C]0.000113[/C]0.000225[/C]-4451.128517[/C]0[/C]0[/C][/ROW] [ROW][C]%M9[t][/C]-0.000192[/C]0.000221[/C]-4522.074287[/C]0[/C]0[/C][/ROW] [ROW][C]%M10[t][/C]-9.8E-05[/C]0.000193[/C]-5170.821834[/C]0[/C]0[/C][/ROW] [ROW][C]%M11[t][/C]0.000169[/C]0.000192[/C]-5209.102703[/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-Mannen[t][/C]0.621998[/C]0.007863[/C]79.101903[/C]0[/C]0[/C][/ROW] [ROW][C]S-Vrouwen[t][/C]0.461763[/C]0.00852[/C]54.194902[/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-t^1[/C]0.016568[/C]0.006756[/C]2.452252[/C]0.01643[/C]0.008215[/C][/ROW] [ROW][C]S-M1[t][/C]0.000601[/C]0.006882[/C]0.087261[/C]0.930688[/C]0.465344[/C][/ROW] [ROW][C]S-M2[t][/C]-0.006253[/C]0.006848[/C]-0.913087[/C]0.36401[/C]0.182005[/C][/ROW] [ROW][C]S-M3[t][/C]-0.005187[/C]0.006842[/C]-0.758037[/C]0.450713[/C]0.225357[/C][/ROW] [ROW][C]S-M4[t][/C]-0.001789[/C]0.00695[/C]-0.257367[/C]0.797573[/C]0.398787[/C][/ROW] [ROW][C]S-M5[t][/C]-0.00305[/C]0.007002[/C]-0.435639[/C]0.664302[/C]0.332151[/C][/ROW] [ROW][C]S-M6[t][/C]-0.0042[/C]0.007011[/C]-0.599139[/C]0.550816[/C]0.275408[/C][/ROW] [ROW][C]S-M7[t][/C]-0.007636[/C]0.007127[/C]-1.071309[/C]0.287334[/C]0.143667[/C][/ROW] [ROW][C]S-M8[t][/C]0.003652[/C]0.007234[/C]0.50482[/C]0.615108[/C]0.307554[/C][/ROW] [ROW][C]S-M9[t][/C]-0.006191[/C]0.00712[/C]-0.869527[/C]0.387227[/C]0.193613[/C][/ROW] [ROW][C]S-M10[t][/C]-0.00339[/C]0.006696[/C]-0.506276[/C]0.614091[/C]0.307046[/C][/ROW] [ROW][C]S-M11[t][/C]0.005845[/C]0.006646[/C]0.879483[/C]0.381841[/C]0.19092[/C][/ROW] [ROW][C]*Note[/C]computed against deterministic endogenous series[/C][/ROW] [ROW]Variable[/C]Partial Correlation[/C][/ROW] [ROW][C]Mannen[t][/C]0.993825[/C][/ROW] [ROW][C]Vrouwen[t][/C]0.98698[/C][/ROW] [ROW][C]Constant[/C]0.108643[/C][/ROW] [ROW][C]t^1[/C]0.267541[/C][/ROW] [ROW][C]M1[t][/C]0.00988[/C][/ROW] [ROW][C]M2[t][/C]-0.102839[/C][/ROW] [ROW][C]M3[t][/C]-0.085516[/C][/ROW] [ROW][C]M4[t][/C]-0.029129[/C][/ROW] [ROW][C]M5[t][/C]-0.049266[/C][/ROW] [ROW][C]M6[t][/C]-0.067684[/C][/ROW] [ROW][C]M7[t][/C]-0.120419[/C][/ROW] [ROW][C]M8[t][/C]0.057066[/C][/ROW] [ROW][C]M9[t][/C]-0.097981[/C][/ROW] [ROW][C]M10[t][/C]-0.05723[/C][/ROW] [ROW][C]M11[t][/C]0.099092[/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=6553&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6553&T=1

As an alternative you can also use a 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
Mannen[t]0.5574210.00704779.10190300
Vrouwen[t]0.4334480.00799854.19490200
Constant0.0553490.0573430.965220.3374180.168709
t^10.0004840.0001972.4522520.016430.008215
M1[t]0.001680.0192510.0872610.9306880.465344
M2[t]-0.0174910.019156-0.9130870.364010.182005
M3[t]-0.0145090.01914-0.7580370.4507130.225357
M4[t]-0.0050030.01944-0.2573670.7975730.398787
M5[t]-0.0085320.019585-0.4356390.6643020.332151
M6[t]-0.011750.019611-0.5991390.5508160.275408
M7[t]-0.0213590.019937-1.0713090.2873340.143667
M8[t]0.0102150.0202340.504820.6151080.307554
M9[t]-0.0173170.019915-0.8695270.3872270.193613
M10[t]-0.0100780.019906-0.5062760.6140910.307046
M11[t]0.0173780.0197590.8794830.3818410.19092
VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value
%Mannen[t]0.4959240.006269-80.40225300
%Vrouwen[t]0.4948620.009131-55.32031400
%Constant0.0071430.007401-134.15829400
%t^10.0029340.001196-833.48776200
%M1[t]1.9E-050.000214-4678.92729400
%M2[t]-0.0001940.000213-4701.2832300
%M3[t]-0.0001610.000212-4705.43937800
%M4[t]-5.6E-050.000216-4633.12072100
%M5[t]-9.5E-050.000217-4598.70930700
%M6[t]-0.000130.000218-4592.49148700
%M7[t]-0.0002370.000221-4516.82074700
%M8[t]0.0001130.000225-4451.12851700
%M9[t]-0.0001920.000221-4522.07428700
%M10[t]-9.8E-050.000193-5170.82183400
%M11[t]0.0001690.000192-5209.10270300
VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value
S-Mannen[t]0.6219980.00786379.10190300
S-Vrouwen[t]0.4617630.0085254.19490200
S-Constant00010.5
S-t^10.0165680.0067562.4522520.016430.008215
S-M1[t]0.0006010.0068820.0872610.9306880.465344
S-M2[t]-0.0062530.006848-0.9130870.364010.182005
S-M3[t]-0.0051870.006842-0.7580370.4507130.225357
S-M4[t]-0.0017890.00695-0.2573670.7975730.398787
S-M5[t]-0.003050.007002-0.4356390.6643020.332151
S-M6[t]-0.00420.007011-0.5991390.5508160.275408
S-M7[t]-0.0076360.007127-1.0713090.2873340.143667
S-M8[t]0.0036520.0072340.504820.6151080.307554
S-M9[t]-0.0061910.00712-0.8695270.3872270.193613
S-M10[t]-0.003390.006696-0.5062760.6140910.307046
S-M11[t]0.0058450.0066460.8794830.3818410.19092
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
Mannen[t]0.993825
Vrouwen[t]0.98698
Constant0.108643
t^10.267541
M1[t]0.00988
M2[t]-0.102839
M3[t]-0.085516
M4[t]-0.029129
M5[t]-0.049266
M6[t]-0.067684
M7[t]-0.120419
M8[t]0.057066
M9[t]-0.097981
M10[t]-0.05723
M11[t]0.099092
Critical Values (alpha = 5%)
1-tail CV at 5%1.65
2-tail CV at 5%1.96







Multiple Linear Regression - Regression Statistics
Multiple R0.999069
R-squared0.998139
Adjusted R-squared0.997804
F-TEST2987.442885
Observations93
Degrees of Freedom78
Multiple Linear Regression - Residual Statistics
Standard Error0.036951
Sum Squared Errors0.106499
Log Likelihood182.946765
Durbin-Watson1.982824
Von Neumann Ratio2.004376
# e[t] > 045
# e[t] < 048
# Runs43
Stand. Normal Runs Statistic-0.929258

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Regression Statistics \tabularnewline

Multiple R
0.999069 \tabularnewline R-squared0.998139 \tabularnewline Adjusted R-squared0.997804 \tabularnewline F-TEST2987.442885 \tabularnewline Observations93 \tabularnewline Degrees of Freedom78 \tabularnewline Multiple Linear Regression - Residual Statistics \tabularnewline Standard Error0.036951 \tabularnewline Sum Squared Errors0.106499 \tabularnewline Log Likelihood182.946765 \tabularnewline Durbin-Watson1.982824 \tabularnewline Von Neumann Ratio2.004376 \tabularnewline # e[t] > 045 \tabularnewline # e[t] < 048 \tabularnewline # Runs43 \tabularnewline Stand. Normal Runs Statistic-0.929258 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=6553&T=2

[TABLE]

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

[ROW][C]Multiple R[/C]
0.999069[/C][/ROW] [ROW][C]R-squared[/C]0.998139[/C][/ROW] [ROW][C]Adjusted R-squared[/C]0.997804[/C][/ROW] [ROW][C]F-TEST[/C]2987.442885[/C][/ROW] [ROW][C]Observations[/C]93[/C][/ROW] [ROW][C]Degrees of Freedom[/C]78[/C][/ROW] [ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW] [ROW][C]Standard Error[/C]0.036951[/C][/ROW] [ROW][C]Sum Squared Errors[/C]0.106499[/C][/ROW] [ROW][C]Log Likelihood[/C]182.946765[/C][/ROW] [ROW][C]Durbin-Watson[/C]1.982824[/C][/ROW] [ROW][C]Von Neumann Ratio[/C]2.004376[/C][/ROW] [ROW][C]# e[t] > 0[/C]45[/C][/ROW] [ROW][C]# e[t] < 0[/C]48[/C][/ROW] [ROW][C]# Runs[/C]43[/C][/ROW] [ROW][C]Stand. Normal Runs Statistic[/C]-0.929258[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=6553&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6553&T=2

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.999069
R-squared0.998139
Adjusted R-squared0.997804
F-TEST2987.442885
Observations93
Degrees of Freedom78
Multiple Linear Regression - Residual Statistics
Standard Error0.036951
Sum Squared Errors0.106499
Log Likelihood182.946765
Durbin-Watson1.982824
Von Neumann Ratio2.004376
# e[t] > 045
# e[t] < 048
# Runs43
Stand. Normal Runs Statistic-0.929258







Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error0.001586
Akaike (1973) Log Information Criterion-6.449635
Akaike (1974) Information Criterion0.001581
Schwarz (1978) Log Criterion-6.041152
Schwarz (1978) Criterion0.002379
Craven-Wahba (1979) Generalized Cross Validation0.001628
Hannan-Quinn (1979) Criterion0.001865
Rice (1984) Criterion0.00169
Shibata (1981) Criterion0.001515

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Ad Hoc Selection Test Statistics \tabularnewline

Akaike (1969) Final Prediction Error
0.001586 \tabularnewline Akaike (1973) Log Information Criterion-6.449635 \tabularnewline Akaike (1974) Information Criterion0.001581 \tabularnewline Schwarz (1978) Log Criterion-6.041152 \tabularnewline Schwarz (1978) Criterion0.002379 \tabularnewline Craven-Wahba (1979) Generalized Cross Validation0.001628 \tabularnewline Hannan-Quinn (1979) Criterion0.001865 \tabularnewline Rice (1984) Criterion0.00169 \tabularnewline Shibata (1981) Criterion0.001515 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=6553&T=3

[TABLE]

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

[ROW][C]Akaike (1969) Final Prediction Error[/C]
0.001586[/C][/ROW] [ROW][C]Akaike (1973) Log Information Criterion[/C]-6.449635[/C][/ROW] [ROW][C]Akaike (1974) Information Criterion[/C]0.001581[/C][/ROW] [ROW][C]Schwarz (1978) Log Criterion[/C]-6.041152[/C][/ROW] [ROW][C]Schwarz (1978) Criterion[/C]0.002379[/C][/ROW] [ROW][C]Craven-Wahba (1979) Generalized Cross Validation[/C]0.001628[/C][/ROW] [ROW][C]Hannan-Quinn (1979) Criterion[/C]0.001865[/C][/ROW] [ROW][C]Rice (1984) Criterion[/C]0.00169[/C][/ROW] [ROW][C]Shibata (1981) Criterion[/C]0.001515[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=6553&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6553&T=3

As an alternative you can also use a 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 Error0.001586
Akaike (1973) Log Information Criterion-6.449635
Akaike (1974) Information Criterion0.001581
Schwarz (1978) Log Criterion-6.041152
Schwarz (1978) Criterion0.002379
Craven-Wahba (1979) Generalized Cross Validation0.001628
Hannan-Quinn (1979) Criterion0.001865
Rice (1984) Criterion0.00169
Shibata (1981) Criterion0.001515








Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1457.1057594.078983
Residual780.1064990.001365
Total9257.2122580.62187237026648
F-TEST2987.442885
p-value0

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Analysis of Variance \tabularnewline

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

Regression
1457.1057594.078983 \tabularnewline Residual780.1064990.001365 \tabularnewline Total9257.2122580.62187237026648 \tabularnewline F-TEST2987.442885 \tabularnewline p-value0 \tabularnewline
\hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=6553&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]
14[/C]57.105759[/C]4.078983[/C][/ROW] [ROW][C]Residual[/C]78[/C]0.106499[/C]0.001365[/C][/ROW] [ROW][C]Total[/C]92[/C]57.212258[/C]0.62187237026648[/C][/ROW] [ROW][C]F-TEST[/C]2987.442885[/C][/ROW] [ROW][C]p-value[/C]0[/C][/ROW]
[/TABLE] Source: https://freestatistics.org/blog/index.php?pk=6553&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6553&T=4

As an alternative you can also use a QR Code:  

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


Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1457.1057594.078983
Residual780.1064990.001365
Total9257.2122580.62187237026648
F-TEST2987.442885
p-value0



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