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R Software Module

esteq.wasp

Title produced by software

Estimate Equation

Date of computation

Sun, 25 Nov 2007 14:10:55 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/25/t1196025036ndlpxd15pnidj1d.htm/, Retrieved Sat, 04 May 2024 12:53:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14491, Retrieved Sat, 04 May 2024 12:53:05 +0000

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Estimated Impact

176

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Estimate Equation] [Werkloosheid] [2007-11-25 21:10:55] [8dc62c9c4f4efdc123b86b689d652194] [Current]

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Dataseries X:

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Histogram

Boxplots

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
(1-B)Totaal[t] = +0.57428314369122 (1-B)Mannen[t] +0.42094603976076 (1-B)Vrouwen[t] -0.016408089819749 Constant +0.017715864877733 M1[t] -0.0021402276118943 M2[t] +0.019037579035425 M3[t] +0.026321307434027 M4[t] +0.012097580566686 M5[t] +0.017265451206815 M6[t] +0.016498117801447 M7[t] +0.050029108325877 M8[t] -0.013271464919996 M9[t] +0.019332931735787 M10[t] +0.043126507156278 M11[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline

(1-B)Totaal[t] = +0.57428314369122 (1-B)Mannen[t] +0.42094603976076 (1-B)Vrouwen[t] -0.016408089819749 Constant +0.017715864877733 M1[t] -0.0021402276118943 M2[t] +0.019037579035425 M3[t] +0.026321307434027 M4[t] +0.012097580566686 M5[t] +0.017265451206815 M6[t] +0.016498117801447 M7[t] +0.050029108325877 M8[t] -0.013271464919996 M9[t] +0.019332931735787 M10[t] +0.043126507156278 M11[t] + e[t] \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=14491&T=0

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW]

(1-B)Totaal[t] = +0.57428314369122 (1-B)Mannen[t] +0.42094603976076 (1-B)Vrouwen[t] -0.016408089819749 Constant +0.017715864877733 M1[t] -0.0021402276118943 M2[t] +0.019037579035425 M3[t] +0.026321307434027 M4[t] +0.012097580566686 M5[t] +0.017265451206815 M6[t] +0.016498117801447 M7[t] +0.050029108325877 M8[t] -0.013271464919996 M9[t] +0.019332931735787 M10[t] +0.043126507156278 M11[t] + e[t][/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=14491&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14491&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
(1-B)Totaal[t] = +0.57428314369122 (1-B)Mannen[t] +0.42094603976076 (1-B)Vrouwen[t] -0.016408089819749 Constant +0.017715864877733 M1[t] -0.0021402276118943 M2[t] +0.019037579035425 M3[t] +0.026321307434027 M4[t] +0.012097580566686 M5[t] +0.017265451206815 M6[t] +0.016498117801447 M7[t] +0.050029108325877 M8[t] -0.013271464919996 M9[t] +0.019332931735787 M10[t] +0.043126507156278 M11[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.E.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(1-B)Mannen[t]	0.574283	0.021636	26.542378	0	0
(1-B)Vrouwen[t]	0.420946	0.016012	26.288619	0	0
Constant	-0.016408	0.019559	-0.838922	0.404077	0.202039
M1[t]	0.017716	0.027828	0.636625	0.526233	0.263117
M2[t]	-0.00214	0.026813	-0.07982	0.936585	0.468292
M3[t]	0.019038	0.027003	0.705011	0.482904	0.241452
M4[t]	0.026321	0.027743	0.948761	0.345672	0.172836
M5[t]	0.012098	0.026869	0.450242	0.653785	0.326893
M6[t]	0.017265	0.026989	0.639717	0.524231	0.262116
M7[t]	0.016498	0.03079	0.535825	0.593604	0.296802
M8[t]	0.050029	0.027037	1.850422	0.068039	0.03402
M9[t]	-0.013271	0.026858	-0.494126	0.622606	0.311303
M10[t]	0.019333	0.030022	0.643958	0.521492	0.260746
M11[t]	0.043127	0.028272	1.525405	0.131203	0.065601

Variable	Elasticity	S.E.^*	T-STATH0: \|elast\| = 1	2-tail p-value	1-tail p-value
%(1-B)Mannen[t]	0.287142	0.010818	-65.894177	0	0
%(1-B)Vrouwen[t]	0.420946	0.016012	-36.162661	0	0
%Constant	-7.547721	8.996934	0.727773	0.468932	0.234466
%M1[t]	0.620055	0.973972	-0.390098	0.697527	0.348764
%M2[t]	-0.085609	1.072529	-0.852556	0.396516	0.198258
%M3[t]	0.761503	1.08013	-0.220804	0.825822	0.412911
%M4[t]	1.052852	1.109713	0.047627	0.962135	0.481068
%M5[t]	0.483903	1.074763	-0.480196	0.632432	0.316216
%M6[t]	0.690618	1.079569	-0.286579	0.775194	0.387597
%M7[t]	0.659925	1.231604	-0.276124	0.783183	0.391592
%M8[t]	2.001164	1.081464	0.925749	0.357432	0.178716
%M9[t]	-0.530859	1.074338	-0.43668	0.66355	0.331775
%M10[t]	0.676653	1.050772	-0.307724	0.759113	0.379556
%M11[t]	1.509428	0.989526	0.51482	0.608135	0.304067
Variable	Stand. Coeff.	S.E.^*	T-STATH0: coeff = 0	2-tail p-value	1-tail p-value
S-(1-B)Mannen[t]	0.550346	0.020735	26.542378	0	0
S-(1-B)Vrouwen[t]	0.633162	0.024085	26.288619	0	0
S-Constant	0	0	0	1	0.5
S-M1[t]	0.013647	0.021436	0.636625	0.526233	0.263117
S-M2[t]	-0.001752	0.02195	-0.07982	0.936585	0.468292
S-M3[t]	0.015585	0.022106	0.705011	0.482904	0.241452
S-M4[t]	0.021547	0.022711	0.948761	0.345672	0.172836
S-M5[t]	0.009903	0.021996	0.450242	0.653785	0.326893
S-M6[t]	0.014134	0.022094	0.639717	0.524231	0.262116
S-M7[t]	0.013506	0.025206	0.535825	0.593604	0.296802
S-M8[t]	0.040955	0.022133	1.850422	0.068039	0.03402
S-M9[t]	-0.010864	0.021987	-0.494126	0.622606	0.311303
S-M10[t]	0.014892	0.023126	0.643958	0.521492	0.260746
S-M11[t]	0.03322	0.021778	1.525405	0.131203	0.065601
^*Note	computed against deterministic endogenous series
Variable	Partial Correlation
(1-B)Mannen[t]	0.948852
(1-B)Vrouwen[t]	0.947935
Constant	-0.094563
M1[t]	0.071897
M2[t]	-0.009037
M3[t]	0.079574
M4[t]	0.106812
M5[t]	0.050914
M6[t]	0.072244
M7[t]	0.060559
M8[t]	0.205066
M9[t]	-0.055861
M10[t]	0.072721
M11[t]	0.170198
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

Variable

Parameter

S.E.

T-STATH0: parameter = 0

2-tail p-value

1-tail p-value \tabularnewline (1-B)Mannen[t]

0.574283

0.021636

26.542378

0 \tabularnewline (1-B)Vrouwen[t]

0.420946

0.016012

26.288619

0 \tabularnewline Constant

-0.016408

0.019559

-0.838922

0.404077

0.202039 \tabularnewline M1[t]

0.017716

0.027828

0.636625

0.526233

0.263117 \tabularnewline M2[t]

-0.00214

0.026813

-0.07982

0.936585

0.468292 \tabularnewline M3[t]

0.019038

0.027003

0.705011

0.482904

0.241452 \tabularnewline M4[t]

0.026321

0.027743

0.948761

0.345672

0.172836 \tabularnewline M5[t]

0.012098

0.026869

0.450242

0.653785

0.326893 \tabularnewline M6[t]

0.017265

0.026989

0.639717

0.524231

0.262116 \tabularnewline M7[t]

0.016498

0.03079

0.535825

0.593604

0.296802 \tabularnewline M8[t]

0.050029

0.027037

1.850422

0.068039

0.03402 \tabularnewline M9[t]

-0.013271

0.026858

-0.494126

0.622606

0.311303 \tabularnewline M10[t]

0.019333

0.030022

0.643958

0.521492

0.260746 \tabularnewline M11[t]

0.043127

0.028272

1.525405

0.131203

0.065601 \tabularnewline \tabularnewline

Variable

Elasticity

S.E.^*

T-STATH0: |elast| = 1

2-tail p-value

1-tail p-value \tabularnewline %(1-B)Mannen[t]

0.287142

0.010818

-65.894177

0 \tabularnewline %(1-B)Vrouwen[t]

0.420946

0.016012

-36.162661

0 \tabularnewline %Constant

-7.547721

8.996934

0.727773

0.468932

0.234466 \tabularnewline %M1[t]

0.620055

0.973972

-0.390098

0.697527

0.348764 \tabularnewline %M2[t]

-0.085609

1.072529

-0.852556

0.396516

0.198258 \tabularnewline %M3[t]

0.761503

1.08013

-0.220804

0.825822

0.412911 \tabularnewline %M4[t]

1.052852

1.109713

0.047627

0.962135

0.481068 \tabularnewline %M5[t]

0.483903

1.074763

-0.480196

0.632432

0.316216 \tabularnewline %M6[t]

0.690618

1.079569

-0.286579

0.775194

0.387597 \tabularnewline %M7[t]

0.659925

1.231604

-0.276124

0.783183

0.391592 \tabularnewline %M8[t]

2.001164

1.081464

0.925749

0.357432

0.178716 \tabularnewline %M9[t]

-0.530859

1.074338

-0.43668

0.66355

0.331775 \tabularnewline %M10[t]

0.676653

1.050772

-0.307724

0.759113

0.379556 \tabularnewline %M11[t]

1.509428

0.989526

0.51482

0.608135

0.304067 \tabularnewline

Variable

Stand. Coeff.

S.E.^*

T-STATH0: coeff = 0

2-tail p-value

1-tail p-value \tabularnewline S-(1-B)Mannen[t]

0.550346

0.020735

26.542378

0 \tabularnewline S-(1-B)Vrouwen[t]

0.633162

0.024085

26.288619

0 \tabularnewline S-Constant

0.5 \tabularnewline S-M1[t]

0.013647

0.021436

0.636625

0.526233

0.263117 \tabularnewline S-M2[t]

-0.001752

0.02195

-0.07982

0.936585

0.468292 \tabularnewline S-M3[t]

0.015585

0.022106

0.705011

0.482904

0.241452 \tabularnewline S-M4[t]

0.021547

0.022711

0.948761

0.345672

0.172836 \tabularnewline S-M5[t]

0.009903

0.021996

0.450242

0.653785

0.326893 \tabularnewline S-M6[t]

0.014134

0.022094

0.639717

0.524231

0.262116 \tabularnewline S-M7[t]

0.013506

0.025206

0.535825

0.593604

0.296802 \tabularnewline S-M8[t]

0.040955

0.022133

1.850422

0.068039

0.03402 \tabularnewline S-M9[t]

-0.010864

0.021987

-0.494126

0.622606

0.311303 \tabularnewline S-M10[t]

0.014892

0.023126

0.643958

0.521492

0.260746 \tabularnewline S-M11[t]

0.03322

0.021778

1.525405

0.131203

0.065601 \tabularnewline ^*Note

computed against deterministic endogenous series \tabularnewline

Variable

Partial Correlation \tabularnewline (1-B)Mannen[t]

0.948852 \tabularnewline (1-B)Vrouwen[t]

0.947935 \tabularnewline Constant

-0.094563 \tabularnewline M1[t]

0.071897 \tabularnewline M2[t]

-0.009037 \tabularnewline M3[t]

0.079574 \tabularnewline M4[t]

0.106812 \tabularnewline M5[t]

0.050914 \tabularnewline M6[t]

0.072244 \tabularnewline M7[t]

0.060559 \tabularnewline M8[t]

0.205066 \tabularnewline M9[t]

-0.055861 \tabularnewline M10[t]

0.072721 \tabularnewline M11[t]

0.170198 \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=14491&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](1-B)Mannen[t][/C]

0.574283[/C]

0.021636[/C]

26.542378[/C]

0[/C]

0[/C][/ROW] [ROW][C](1-B)Vrouwen[t][/C]

0.420946[/C]

0.016012[/C]

26.288619[/C]

0[/C]

0[/C][/ROW] [ROW][C]Constant[/C]

-0.016408[/C]

0.019559[/C]

-0.838922[/C]

0.404077[/C]

0.202039[/C][/ROW] [ROW][C]M1[t][/C]

0.017716[/C]

0.027828[/C]

0.636625[/C]

0.526233[/C]

0.263117[/C][/ROW] [ROW][C]M2[t][/C]

-0.00214[/C]

0.026813[/C]

-0.07982[/C]

0.936585[/C]

0.468292[/C][/ROW] [ROW][C]M3[t][/C]

0.019038[/C]

0.027003[/C]

0.705011[/C]

0.482904[/C]

0.241452[/C][/ROW] [ROW][C]M4[t][/C]

0.026321[/C]

0.027743[/C]

0.948761[/C]

0.345672[/C]

0.172836[/C][/ROW] [ROW][C]M5[t][/C]

0.012098[/C]

0.026869[/C]

0.450242[/C]

0.653785[/C]

0.326893[/C][/ROW] [ROW][C]M6[t][/C]

0.017265[/C]

0.026989[/C]

0.639717[/C]

0.524231[/C]

0.262116[/C][/ROW] [ROW][C]M7[t][/C]

0.016498[/C]

0.03079[/C]

0.535825[/C]

0.593604[/C]

0.296802[/C][/ROW] [ROW][C]M8[t][/C]

0.050029[/C]

0.027037[/C]

1.850422[/C]

0.068039[/C]

0.03402[/C][/ROW] [ROW][C]M9[t][/C]

-0.013271[/C]

0.026858[/C]

-0.494126[/C]

0.622606[/C]

0.311303[/C][/ROW] [ROW][C]M10[t][/C]

0.019333[/C]

0.030022[/C]

0.643958[/C]

0.521492[/C]

0.260746[/C][/ROW] [ROW][C]M11[t][/C]

0.043127[/C]

0.028272[/C]

1.525405[/C]

0.131203[/C]

0.065601[/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]%(1-B)Mannen[t][/C]

0.287142[/C]

0.010818[/C]

-65.894177[/C]

0[/C]

0[/C][/ROW] [ROW][C]%(1-B)Vrouwen[t][/C]

0.420946[/C]

0.016012[/C]

-36.162661[/C]

0[/C]

0[/C][/ROW] [ROW][C]%Constant[/C]

-7.547721[/C]

8.996934[/C]

0.727773[/C]

0.468932[/C]

0.234466[/C][/ROW] [ROW][C]%M1[t][/C]

0.620055[/C]

0.973972[/C]

-0.390098[/C]

0.697527[/C]

0.348764[/C][/ROW] [ROW][C]%M2[t][/C]

-0.085609[/C]

1.072529[/C]

-0.852556[/C]

0.396516[/C]

0.198258[/C][/ROW] [ROW][C]%M3[t][/C]

0.761503[/C]

1.08013[/C]

-0.220804[/C]

0.825822[/C]

0.412911[/C][/ROW] [ROW][C]%M4[t][/C]

1.052852[/C]

1.109713[/C]

0.047627[/C]

0.962135[/C]

0.481068[/C][/ROW] [ROW][C]%M5[t][/C]

0.483903[/C]

1.074763[/C]

-0.480196[/C]

0.632432[/C]

0.316216[/C][/ROW] [ROW][C]%M6[t][/C]

0.690618[/C]

1.079569[/C]

-0.286579[/C]

0.775194[/C]

0.387597[/C][/ROW] [ROW][C]%M7[t][/C]

0.659925[/C]

1.231604[/C]

-0.276124[/C]

0.783183[/C]

0.391592[/C][/ROW] [ROW][C]%M8[t][/C]

2.001164[/C]

1.081464[/C]

0.925749[/C]

0.357432[/C]

0.178716[/C][/ROW] [ROW][C]%M9[t][/C]

-0.530859[/C]

1.074338[/C]

-0.43668[/C]

0.66355[/C]

0.331775[/C][/ROW] [ROW][C]%M10[t][/C]

0.676653[/C]

1.050772[/C]

-0.307724[/C]

0.759113[/C]

0.379556[/C][/ROW] [ROW][C]%M11[t][/C]

1.509428[/C]

0.989526[/C]

0.51482[/C]

0.608135[/C]

0.304067[/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-(1-B)Mannen[t][/C]

0.550346[/C]

0.020735[/C]

26.542378[/C]

0[/C]

0[/C][/ROW] [ROW][C]S-(1-B)Vrouwen[t][/C]

0.633162[/C]

0.024085[/C]

26.288619[/C]

0[/C]

0[/C][/ROW] [ROW][C]S-Constant[/C]

0[/C]

1[/C]

0.5[/C][/ROW] [ROW][C]S-M1[t][/C]

0.013647[/C]

0.021436[/C]

0.636625[/C]

0.526233[/C]

0.263117[/C][/ROW] [ROW][C]S-M2[t][/C]

-0.001752[/C]

0.02195[/C]

-0.07982[/C]

0.936585[/C]

0.468292[/C][/ROW] [ROW][C]S-M3[t][/C]

0.015585[/C]

0.022106[/C]

0.705011[/C]

0.482904[/C]

0.241452[/C][/ROW] [ROW][C]S-M4[t][/C]

0.021547[/C]

0.022711[/C]

0.948761[/C]

0.345672[/C]

0.172836[/C][/ROW] [ROW][C]S-M5[t][/C]

0.009903[/C]

0.021996[/C]

0.450242[/C]

0.653785[/C]

0.326893[/C][/ROW] [ROW][C]S-M6[t][/C]

0.014134[/C]

0.022094[/C]

0.639717[/C]

0.524231[/C]

0.262116[/C][/ROW] [ROW][C]S-M7[t][/C]

0.013506[/C]

0.025206[/C]

0.535825[/C]

0.593604[/C]

0.296802[/C][/ROW] [ROW][C]S-M8[t][/C]

0.040955[/C]

0.022133[/C]

1.850422[/C]

0.068039[/C]

0.03402[/C][/ROW] [ROW][C]S-M9[t][/C]

-0.010864[/C]

0.021987[/C]

-0.494126[/C]

0.622606[/C]

0.311303[/C][/ROW] [ROW][C]S-M10[t][/C]

0.014892[/C]

0.023126[/C]

0.643958[/C]

0.521492[/C]

0.260746[/C][/ROW] [ROW][C]S-M11[t][/C]

0.03322[/C]

0.021778[/C]

1.525405[/C]

0.131203[/C]

0.065601[/C][/ROW] [ROW][C]^*Note[/C]

computed against deterministic endogenous series[/C][/ROW] [ROW]

Variable[/C]

Partial Correlation[/C][/ROW] [ROW][C](1-B)Mannen[t][/C]

0.948852[/C][/ROW] [ROW][C](1-B)Vrouwen[t][/C]

0.947935[/C][/ROW] [ROW][C]Constant[/C]

-0.094563[/C][/ROW] [ROW][C]M1[t][/C]

0.071897[/C][/ROW] [ROW][C]M2[t][/C]

-0.009037[/C][/ROW] [ROW][C]M3[t][/C]

0.079574[/C][/ROW] [ROW][C]M4[t][/C]

0.106812[/C][/ROW] [ROW][C]M5[t][/C]

0.050914[/C][/ROW] [ROW][C]M6[t][/C]

0.072244[/C][/ROW] [ROW][C]M7[t][/C]

0.060559[/C][/ROW] [ROW][C]M8[t][/C]

0.205066[/C][/ROW] [ROW][C]M9[t][/C]

-0.055861[/C][/ROW] [ROW][C]M10[t][/C]

0.072721[/C][/ROW] [ROW][C]M11[t][/C]

0.170198[/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=14491&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14491&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
Variable	Parameter	S.E.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(1-B)Mannen[t]	0.574283	0.021636	26.542378	0	0
(1-B)Vrouwen[t]	0.420946	0.016012	26.288619	0	0
Constant	-0.016408	0.019559	-0.838922	0.404077	0.202039
M1[t]	0.017716	0.027828	0.636625	0.526233	0.263117
M2[t]	-0.00214	0.026813	-0.07982	0.936585	0.468292
M3[t]	0.019038	0.027003	0.705011	0.482904	0.241452
M4[t]	0.026321	0.027743	0.948761	0.345672	0.172836
M5[t]	0.012098	0.026869	0.450242	0.653785	0.326893
M6[t]	0.017265	0.026989	0.639717	0.524231	0.262116
M7[t]	0.016498	0.03079	0.535825	0.593604	0.296802
M8[t]	0.050029	0.027037	1.850422	0.068039	0.03402
M9[t]	-0.013271	0.026858	-0.494126	0.622606	0.311303
M10[t]	0.019333	0.030022	0.643958	0.521492	0.260746
M11[t]	0.043127	0.028272	1.525405	0.131203	0.065601

Variable	Elasticity	S.E.^*	T-STATH0: \|elast\| = 1	2-tail p-value	1-tail p-value
%(1-B)Mannen[t]	0.287142	0.010818	-65.894177	0	0
%(1-B)Vrouwen[t]	0.420946	0.016012	-36.162661	0	0
%Constant	-7.547721	8.996934	0.727773	0.468932	0.234466
%M1[t]	0.620055	0.973972	-0.390098	0.697527	0.348764
%M2[t]	-0.085609	1.072529	-0.852556	0.396516	0.198258
%M3[t]	0.761503	1.08013	-0.220804	0.825822	0.412911
%M4[t]	1.052852	1.109713	0.047627	0.962135	0.481068
%M5[t]	0.483903	1.074763	-0.480196	0.632432	0.316216
%M6[t]	0.690618	1.079569	-0.286579	0.775194	0.387597
%M7[t]	0.659925	1.231604	-0.276124	0.783183	0.391592
%M8[t]	2.001164	1.081464	0.925749	0.357432	0.178716
%M9[t]	-0.530859	1.074338	-0.43668	0.66355	0.331775
%M10[t]	0.676653	1.050772	-0.307724	0.759113	0.379556
%M11[t]	1.509428	0.989526	0.51482	0.608135	0.304067
Variable	Stand. Coeff.	S.E.^*	T-STATH0: coeff = 0	2-tail p-value	1-tail p-value
S-(1-B)Mannen[t]	0.550346	0.020735	26.542378	0	0
S-(1-B)Vrouwen[t]	0.633162	0.024085	26.288619	0	0
S-Constant	0	0	0	1	0.5
S-M1[t]	0.013647	0.021436	0.636625	0.526233	0.263117
S-M2[t]	-0.001752	0.02195	-0.07982	0.936585	0.468292
S-M3[t]	0.015585	0.022106	0.705011	0.482904	0.241452
S-M4[t]	0.021547	0.022711	0.948761	0.345672	0.172836
S-M5[t]	0.009903	0.021996	0.450242	0.653785	0.326893
S-M6[t]	0.014134	0.022094	0.639717	0.524231	0.262116
S-M7[t]	0.013506	0.025206	0.535825	0.593604	0.296802
S-M8[t]	0.040955	0.022133	1.850422	0.068039	0.03402
S-M9[t]	-0.010864	0.021987	-0.494126	0.622606	0.311303
S-M10[t]	0.014892	0.023126	0.643958	0.521492	0.260746
S-M11[t]	0.03322	0.021778	1.525405	0.131203	0.065601
^*Note	computed against deterministic endogenous series
Variable	Partial Correlation
(1-B)Mannen[t]	0.948852
(1-B)Vrouwen[t]	0.947935
Constant	-0.094563
M1[t]	0.071897
M2[t]	-0.009037
M3[t]	0.079574
M4[t]	0.106812
M5[t]	0.050914
M6[t]	0.072244
M7[t]	0.060559
M8[t]	0.205066
M9[t]	-0.055861
M10[t]	0.072721
M11[t]	0.170198
Critical Values (alpha = 5%)
1-tail CV at 5%	1.65
2-tail CV at 5%	1.96

Multiple Linear Regression - Regression Statistics
Observations	92
Degrees of Freedom	78
Multiple Linear Regression - Residual Statistics
Standard Error	0.051721
Sum Squared Errors	0.208657
Log Likelihood	149.544959
Durbin-Watson	2.847219
Von Neumann Ratio	2.878508
# e[t] > 0	50
# e[t] < 0	43
# Runs	60
Stand. Normal Runs Statistic	2.676851

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Regression Statistics \tabularnewline

Observations

92 \tabularnewline Degrees of Freedom

78 \tabularnewline Multiple Linear Regression - Residual Statistics \tabularnewline Standard Error

0.051721 \tabularnewline Sum Squared Errors

0.208657 \tabularnewline Log Likelihood

149.544959 \tabularnewline Durbin-Watson

2.847219 \tabularnewline Von Neumann Ratio

2.878508 \tabularnewline # e[t] > 0

50 \tabularnewline # e[t] < 0

43 \tabularnewline # Runs

60 \tabularnewline Stand. Normal Runs Statistic

2.676851 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=14491&T=2

[TABLE]

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

[ROW][C]Observations[/C]

92[/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]

0.051721[/C][/ROW] [ROW][C]Sum Squared Errors[/C]

0.208657[/C][/ROW] [ROW][C]Log Likelihood[/C]

149.544959[/C][/ROW] [ROW][C]Durbin-Watson[/C]

2.847219[/C][/ROW] [ROW][C]Von Neumann Ratio[/C]

2.878508[/C][/ROW] [ROW][C]# e[t] > 0[/C]

50[/C][/ROW] [ROW][C]# e[t] < 0[/C]

43[/C][/ROW] [ROW][C]# Runs[/C]

60[/C][/ROW] [ROW][C]Stand. Normal Runs Statistic[/C]

2.676851[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=14491&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14491&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
Observations	92
Degrees of Freedom	78
Multiple Linear Regression - Residual Statistics
Standard Error	0.051721
Sum Squared Errors	0.208657
Log Likelihood	149.544959
Durbin-Watson	2.847219
Von Neumann Ratio	2.878508
# e[t] > 0	50
# e[t] < 0	43
# Runs	60
Stand. Normal Runs Statistic	2.676851

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error	0.003082
Akaike (1973) Log Information Criterion	-5.784507
Akaike (1974) Information Criterion	0.003075
Schwarz (1978) Log Criterion	-5.400756
Schwarz (1978) Criterion	0.004513
Craven-Wahba (1979) Generalized Cross Validation	0.003155
Hannan-Quinn (1979) Criterion	0.00359
Rice (1984) Criterion	0.00326
Shibata (1981) Criterion	0.002958

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Ad Hoc Selection Test Statistics \tabularnewline

Akaike (1969) Final Prediction Error

0.003082 \tabularnewline Akaike (1973) Log Information Criterion

-5.784507 \tabularnewline Akaike (1974) Information Criterion

0.003075 \tabularnewline Schwarz (1978) Log Criterion

-5.400756 \tabularnewline Schwarz (1978) Criterion

0.004513 \tabularnewline Craven-Wahba (1979) Generalized Cross Validation

0.003155 \tabularnewline Hannan-Quinn (1979) Criterion

0.00359 \tabularnewline Rice (1984) Criterion

0.00326 \tabularnewline Shibata (1981) Criterion

0.002958 \tabularnewline

\hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=14491&T=3

[TABLE]

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

[ROW][C]Akaike (1969) Final Prediction Error[/C]

0.003082[/C][/ROW] [ROW][C]Akaike (1973) Log Information Criterion[/C]

-5.784507[/C][/ROW] [ROW][C]Akaike (1974) Information Criterion[/C]

0.003075[/C][/ROW] [ROW][C]Schwarz (1978) Log Criterion[/C]

-5.400756[/C][/ROW] [ROW][C]Schwarz (1978) Criterion[/C]

0.004513[/C][/ROW] [ROW][C]Craven-Wahba (1979) Generalized Cross Validation[/C]

0.003155[/C][/ROW] [ROW][C]Hannan-Quinn (1979) Criterion[/C]

0.00359[/C][/ROW] [ROW][C]Rice (1984) Criterion[/C]

0.00326[/C][/ROW] [ROW][C]Shibata (1981) Criterion[/C]

0.002958[/C][/ROW]

[/TABLE] Source: https://freestatistics.org/blog/index.php?pk=14491&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14491&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 Error	0.003082
Akaike (1973) Log Information Criterion	-5.784507
Akaike (1974) Information Criterion	0.003075
Schwarz (1978) Log Criterion	-5.400756
Schwarz (1978) Criterion	0.004513
Craven-Wahba (1979) Generalized Cross Validation	0.003155
Hannan-Quinn (1979) Criterion	0.00359
Rice (1984) Criterion	0.00326
Shibata (1981) Criterion	0.002958

Parameters (Session):

Parameters (R input):

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

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code