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Author's title

Author*Unverified author*
R Software Moduleesteq.wasp
Title produced by softwareEstimate Equation
Date of computationWed, 05 Dec 2007 17:04:30 -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/Dec/06/t1196898968nr2mw0rusp5ebm8.htm/, Retrieved Fri, 03 May 2024 10:02:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2544, Retrieved Fri, 03 May 2024 10:02:00 +0000
QR Codes:

Original text written by user:paper
IsPrivate?No (this computation is public)
User-defined keywordsMultiple Regression Employ Trade
Estimated Impact233
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Estimate Equation] [Multiple Regressi...] [2007-12-06 00:04:30] [a258e9ec4d5d3b1ce45f1ba54f8fa0ce] [Current]
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Dataseries X:
561	18.9
557	17.3
566	20
588	19.9
620	19.5
626	16.2
620	17.6
573	19.8
573	19.4
574	17.2
580	21.1
590	17.8
593	17.5
597	18
595	19.1
612	17.7
628	19.2
629	15.1
621	16.3
569	18.6
567	17.2
573	17.8
584	19.1
589	16.6
591	16
595	16.7
594	17.4
611	17.9
613	17.8
611	13.9
594	15.9
543	17.9
537	15.4
544	16.4
555	17.9
561	15.3
562	14.6
555	14.9
547	15
565	16.7
578	16.3
580	11.7
569	15.1
507	15.5
501	15
509	15.4
510	16
517	14.7
519	14.8
512	13.7
509	15.1
519	16.9
523	15.8
525	12.1
517	15
456	15.1
455	15.5
461	15.3
470	15.9
475	14.2
476	14.3
471	12.9
471	14.8
503	15.9
513	14.8
510	12.5
484	14.6
431	15.6
436	15.5
443	14.3
448	16.8
460	14.9
467	15




Multiple Linear Regression - Estimated Regression Equation
Employ[t] = -6.3895862929151 Trade[t] +743.81860091903 -2.6104080896393 t^1 -10.003475814518 M1[t] -10.270747563061 M2[t] -5.3015337003682 M3[t] +25.696775677633 M4[t] +34.215811243216 M5[t] +19.725045542992 M6[t] +18.292074421342 M7[t] -19.690586252523 M8[t] -28.759850728516 M9[t] -16.799182804374 M10[t] -1.1676413196279 M11[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Employ[t] = -6.3895862929151 Trade[t] +743.81860091903 -2.6104080896393 t^1 -10.003475814518 M1[t] -10.270747563061 M2[t] -5.3015337003682 M3[t] +25.696775677633 M4[t] +34.215811243216 M5[t] +19.725045542992 M6[t] +18.292074421342 M7[t] -19.690586252523 M8[t] -28.759850728516 M9[t] -16.799182804374 M10[t] -1.1676413196279 M11[t] + e[t] \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=2544&T=0

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW]
Employ[t] = -6.3895862929151 Trade[t] +743.81860091903 -2.6104080896393 t^1 -10.003475814518 M1[t] -10.270747563061 M2[t] -5.3015337003682 M3[t] +25.696775677633 M4[t] +34.215811243216 M5[t] +19.725045542992 M6[t] +18.292074421342 M7[t] -19.690586252523 M8[t] -28.759850728516 M9[t] -16.799182804374 M10[t] -1.1676413196279 M11[t] + e[t][/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=2544&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2544&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
Employ[t] = -6.3895862929151 Trade[t] +743.81860091903 -2.6104080896393 t^1 -10.003475814518 M1[t] -10.270747563061 M2[t] -5.3015337003682 M3[t] +25.696775677633 M4[t] +34.215811243216 M5[t] +19.725045542992 M6[t] +18.292074421342 M7[t] -19.690586252523 M8[t] -28.759850728516 M9[t] -16.799182804374 M10[t] -1.1676413196279 M11[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STATH0: parameter = 02-tail p-value1-tail p-value
Trade[t]-6.3895863.249325-1.9664350.0539580.026979
Constant743.81860160.92383112.20899300
t^1-2.6104080.248909-10.48740400
M1[t]-10.00347611.259365-0.8884580.3779020.188951
M2[t]-10.27074811.901128-0.8630060.3916290.195814
M3[t]-5.30153411.847912-0.4474660.6561770.328089
M4[t]25.69677612.4939812.0567320.0441420.022071
M5[t]34.21581112.1576022.8143550.0066320.003316
M6[t]19.72504614.0425981.4046580.1653660.082683
M7[t]18.29207411.7085181.5622880.1235690.061784
M8[t]-19.69058612.310286-1.5995230.1150460.057523
M9[t]-28.75985111.727142-2.4524180.0171670.008583
M10[t]-16.79918311.694561-1.4364950.1561430.078072
M11[t]-1.16764113.352737-0.0874460.9306130.465307
VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value
%Trade[t]-0.1911980.097231-8.31836500
%Constant1.368140.112063.2852070.0017180.000859
%t^1-0.1775880.016933-48.56737300
%M1[t]-0.0017640.001986-502.66696100
%M2[t]-0.0015530.001799-554.93863800
%M3[t]-0.0008010.001791-557.85061500
%M4[t]0.0038850.001889-527.37153800
%M5[t]0.0051730.001838-541.26224400
%M6[t]0.0029820.002123-469.63828500
%M7[t]0.0027650.00177-563.38255500
%M8[t]-0.0029770.001861-535.72892300
%M9[t]-0.0043480.001773-561.59519600
%M10[t]-0.002540.001768-564.18254900
%M11[t]-0.0001770.002019-495.29163500
VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value
S-Trade[t]-0.2267470.115309-1.9664350.0539580.026979
S-Constant00010.5
S-t^1-1.009880.096295-10.48740400
S-M1[t]-0.0540170.060799-0.8884580.3779020.188951
S-M2[t]-0.0517340.059946-0.8630060.3916290.195814
S-M3[t]-0.0267040.059678-0.4474660.6561770.328089
S-M4[t]0.1294350.0629322.0567320.0441420.022071
S-M5[t]0.1723450.0612382.8143550.0066320.003316
S-M6[t]0.0993550.0707331.4046580.1653660.082683
S-M7[t]0.0921370.0589761.5622880.1235690.061784
S-M8[t]-0.0991810.062007-1.5995230.1150460.057523
S-M9[t]-0.1448630.05907-2.4524180.0171670.008583
S-M10[t]-0.0846170.058905-1.4364950.1561430.078072
S-M11[t]-0.0058810.067258-0.0874460.9306130.465307
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
Trade[t]-0.24801
Constant0.84642
t^1-0.806758
M1[t]-0.114901
M2[t]-0.111651
M3[t]-0.058156
M4[t]0.258652
M5[t]0.344032
M6[t]0.179888
M7[t]0.199312
M8[t]-0.203867
M9[t]-0.304151
M10[t]-0.183829
M11[t]-0.011384
Critical Values (alpha = 5%)
1-tail CV at 5%1.68
2-tail CV at 5%2

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Ordinary Least Squares \tabularnewline

VariableParameterS.E.T-STATH0: parameter = 02-tail p-value1-tail p-value \tabularnewline Trade[t]-6.3895863.249325-1.9664350.0539580.026979 \tabularnewline Constant743.81860160.92383112.20899300 \tabularnewline t^1-2.6104080.248909-10.48740400 \tabularnewline M1[t]-10.00347611.259365-0.8884580.3779020.188951 \tabularnewline M2[t]-10.27074811.901128-0.8630060.3916290.195814 \tabularnewline M3[t]-5.30153411.847912-0.4474660.6561770.328089 \tabularnewline M4[t]25.69677612.4939812.0567320.0441420.022071 \tabularnewline M5[t]34.21581112.1576022.8143550.0066320.003316 \tabularnewline M6[t]19.72504614.0425981.4046580.1653660.082683 \tabularnewline M7[t]18.29207411.7085181.5622880.1235690.061784 \tabularnewline M8[t]-19.69058612.310286-1.5995230.1150460.057523 \tabularnewline M9[t]-28.75985111.727142-2.4524180.0171670.008583 \tabularnewline M10[t]-16.79918311.694561-1.4364950.1561430.078072 \tabularnewline M11[t]-1.16764113.352737-0.0874460.9306130.465307 \tabularnewline \tabularnewline VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value \tabularnewline %Trade[t]-0.1911980.097231-8.31836500 \tabularnewline %Constant1.368140.112063.2852070.0017180.000859 \tabularnewline %t^1-0.1775880.016933-48.56737300 \tabularnewline %M1[t]-0.0017640.001986-502.66696100 \tabularnewline %M2[t]-0.0015530.001799-554.93863800 \tabularnewline %M3[t]-0.0008010.001791-557.85061500 \tabularnewline %M4[t]0.0038850.001889-527.37153800 \tabularnewline %M5[t]0.0051730.001838-541.26224400 \tabularnewline %M6[t]0.0029820.002123-469.63828500 \tabularnewline %M7[t]0.0027650.00177-563.38255500 \tabularnewline %M8[t]-0.0029770.001861-535.72892300 \tabularnewline %M9[t]-0.0043480.001773-561.59519600 \tabularnewline %M10[t]-0.002540.001768-564.18254900 \tabularnewline %M11[t]-0.0001770.002019-495.29163500 \tabularnewline VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value \tabularnewline S-Trade[t]-0.2267470.115309-1.9664350.0539580.026979 \tabularnewline S-Constant00010.5 \tabularnewline S-t^1-1.009880.096295-10.48740400 \tabularnewline S-M1[t]-0.0540170.060799-0.8884580.3779020.188951 \tabularnewline S-M2[t]-0.0517340.059946-0.8630060.3916290.195814 \tabularnewline S-M3[t]-0.0267040.059678-0.4474660.6561770.328089 \tabularnewline S-M4[t]0.1294350.0629322.0567320.0441420.022071 \tabularnewline S-M5[t]0.1723450.0612382.8143550.0066320.003316 \tabularnewline S-M6[t]0.0993550.0707331.4046580.1653660.082683 \tabularnewline S-M7[t]0.0921370.0589761.5622880.1235690.061784 \tabularnewline S-M8[t]-0.0991810.062007-1.5995230.1150460.057523 \tabularnewline S-M9[t]-0.1448630.05907-2.4524180.0171670.008583 \tabularnewline S-M10[t]-0.0846170.058905-1.4364950.1561430.078072 \tabularnewline S-M11[t]-0.0058810.067258-0.0874460.9306130.465307 \tabularnewline *Notecomputed against deterministic endogenous series \tabularnewline VariablePartial Correlation \tabularnewline Trade[t]-0.24801 \tabularnewline Constant0.84642 \tabularnewline t^1-0.806758 \tabularnewline M1[t]-0.114901 \tabularnewline M2[t]-0.111651 \tabularnewline M3[t]-0.058156 \tabularnewline M4[t]0.258652 \tabularnewline M5[t]0.344032 \tabularnewline M6[t]0.179888 \tabularnewline M7[t]0.199312 \tabularnewline M8[t]-0.203867 \tabularnewline M9[t]-0.304151 \tabularnewline M10[t]-0.183829 \tabularnewline M11[t]-0.011384 \tabularnewline Critical Values (alpha = 5%) \tabularnewline 1-tail CV at 5%1.68 \tabularnewline 2-tail CV at 5%2 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=2544&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]Trade[t][/C]-6.389586[/C]3.249325[/C]-1.966435[/C]0.053958[/C]0.026979[/C][/ROW] [ROW][C]Constant[/C]743.818601[/C]60.923831[/C]12.208993[/C]0[/C]0[/C][/ROW] [ROW][C]t^1[/C]-2.610408[/C]0.248909[/C]-10.487404[/C]0[/C]0[/C][/ROW] [ROW][C]M1[t][/C]-10.003476[/C]11.259365[/C]-0.888458[/C]0.377902[/C]0.188951[/C][/ROW] [ROW][C]M2[t][/C]-10.270748[/C]11.901128[/C]-0.863006[/C]0.391629[/C]0.195814[/C][/ROW] [ROW][C]M3[t][/C]-5.301534[/C]11.847912[/C]-0.447466[/C]0.656177[/C]0.328089[/C][/ROW] [ROW][C]M4[t][/C]25.696776[/C]12.493981[/C]2.056732[/C]0.044142[/C]0.022071[/C][/ROW] [ROW][C]M5[t][/C]34.215811[/C]12.157602[/C]2.814355[/C]0.006632[/C]0.003316[/C][/ROW] [ROW][C]M6[t][/C]19.725046[/C]14.042598[/C]1.404658[/C]0.165366[/C]0.082683[/C][/ROW] [ROW][C]M7[t][/C]18.292074[/C]11.708518[/C]1.562288[/C]0.123569[/C]0.061784[/C][/ROW] [ROW][C]M8[t][/C]-19.690586[/C]12.310286[/C]-1.599523[/C]0.115046[/C]0.057523[/C][/ROW] [ROW][C]M9[t][/C]-28.759851[/C]11.727142[/C]-2.452418[/C]0.017167[/C]0.008583[/C][/ROW] [ROW][C]M10[t][/C]-16.799183[/C]11.694561[/C]-1.436495[/C]0.156143[/C]0.078072[/C][/ROW] [ROW][C]M11[t][/C]-1.167641[/C]13.352737[/C]-0.087446[/C]0.930613[/C]0.465307[/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]%Trade[t][/C]-0.191198[/C]0.097231[/C]-8.318365[/C]0[/C]0[/C][/ROW] [ROW][C]%Constant[/C]1.36814[/C]0.11206[/C]3.285207[/C]0.001718[/C]0.000859[/C][/ROW] [ROW][C]%t^1[/C]-0.177588[/C]0.016933[/C]-48.567373[/C]0[/C]0[/C][/ROW] [ROW][C]%M1[t][/C]-0.001764[/C]0.001986[/C]-502.666961[/C]0[/C]0[/C][/ROW] [ROW][C]%M2[t][/C]-0.001553[/C]0.001799[/C]-554.938638[/C]0[/C]0[/C][/ROW] [ROW][C]%M3[t][/C]-0.000801[/C]0.001791[/C]-557.850615[/C]0[/C]0[/C][/ROW] [ROW][C]%M4[t][/C]0.003885[/C]0.001889[/C]-527.371538[/C]0[/C]0[/C][/ROW] [ROW][C]%M5[t][/C]0.005173[/C]0.001838[/C]-541.262244[/C]0[/C]0[/C][/ROW] [ROW][C]%M6[t][/C]0.002982[/C]0.002123[/C]-469.638285[/C]0[/C]0[/C][/ROW] [ROW][C]%M7[t][/C]0.002765[/C]0.00177[/C]-563.382555[/C]0[/C]0[/C][/ROW] [ROW][C]%M8[t][/C]-0.002977[/C]0.001861[/C]-535.728923[/C]0[/C]0[/C][/ROW] [ROW][C]%M9[t][/C]-0.004348[/C]0.001773[/C]-561.595196[/C]0[/C]0[/C][/ROW] [ROW][C]%M10[t][/C]-0.00254[/C]0.001768[/C]-564.182549[/C]0[/C]0[/C][/ROW] [ROW][C]%M11[t][/C]-0.000177[/C]0.002019[/C]-495.291635[/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-Trade[t][/C]-0.226747[/C]0.115309[/C]-1.966435[/C]0.053958[/C]0.026979[/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]-1.00988[/C]0.096295[/C]-10.487404[/C]0[/C]0[/C][/ROW] [ROW][C]S-M1[t][/C]-0.054017[/C]0.060799[/C]-0.888458[/C]0.377902[/C]0.188951[/C][/ROW] [ROW][C]S-M2[t][/C]-0.051734[/C]0.059946[/C]-0.863006[/C]0.391629[/C]0.195814[/C][/ROW] [ROW][C]S-M3[t][/C]-0.026704[/C]0.059678[/C]-0.447466[/C]0.656177[/C]0.328089[/C][/ROW] [ROW][C]S-M4[t][/C]0.129435[/C]0.062932[/C]2.056732[/C]0.044142[/C]0.022071[/C][/ROW] [ROW][C]S-M5[t][/C]0.172345[/C]0.061238[/C]2.814355[/C]0.006632[/C]0.003316[/C][/ROW] [ROW][C]S-M6[t][/C]0.099355[/C]0.070733[/C]1.404658[/C]0.165366[/C]0.082683[/C][/ROW] [ROW][C]S-M7[t][/C]0.092137[/C]0.058976[/C]1.562288[/C]0.123569[/C]0.061784[/C][/ROW] [ROW][C]S-M8[t][/C]-0.099181[/C]0.062007[/C]-1.599523[/C]0.115046[/C]0.057523[/C][/ROW] [ROW][C]S-M9[t][/C]-0.144863[/C]0.05907[/C]-2.452418[/C]0.017167[/C]0.008583[/C][/ROW] [ROW][C]S-M10[t][/C]-0.084617[/C]0.058905[/C]-1.436495[/C]0.156143[/C]0.078072[/C][/ROW] [ROW][C]S-M11[t][/C]-0.005881[/C]0.067258[/C]-0.087446[/C]0.930613[/C]0.465307[/C][/ROW] [ROW][C]*Note[/C]computed against deterministic endogenous series[/C][/ROW] [ROW]Variable[/C]Partial Correlation[/C][/ROW] [ROW][C]Trade[t][/C]-0.24801[/C][/ROW] [ROW][C]Constant[/C]0.84642[/C][/ROW] [ROW][C]t^1[/C]-0.806758[/C][/ROW] [ROW][C]M1[t][/C]-0.114901[/C][/ROW] [ROW][C]M2[t][/C]-0.111651[/C][/ROW] [ROW][C]M3[t][/C]-0.058156[/C][/ROW] [ROW][C]M4[t][/C]0.258652[/C][/ROW] [ROW][C]M5[t][/C]0.344032[/C][/ROW] [ROW][C]M6[t][/C]0.179888[/C][/ROW] [ROW][C]M7[t][/C]0.199312[/C][/ROW] [ROW][C]M8[t][/C]-0.203867[/C][/ROW] [ROW][C]M9[t][/C]-0.304151[/C][/ROW] [ROW][C]M10[t][/C]-0.183829[/C][/ROW] [ROW][C]M11[t][/C]-0.011384[/C][/ROW] [ROW][C]Critical Values (alpha = 5%)[/C][/ROW] [ROW][C]1-tail CV at 5%[/C]1.68[/C][/ROW] [ROW][C]2-tail CV at 5%[/C]2[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=2544&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2544&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
Trade[t]-6.3895863.249325-1.9664350.0539580.026979
Constant743.81860160.92383112.20899300
t^1-2.6104080.248909-10.48740400
M1[t]-10.00347611.259365-0.8884580.3779020.188951
M2[t]-10.27074811.901128-0.8630060.3916290.195814
M3[t]-5.30153411.847912-0.4474660.6561770.328089
M4[t]25.69677612.4939812.0567320.0441420.022071
M5[t]34.21581112.1576022.8143550.0066320.003316
M6[t]19.72504614.0425981.4046580.1653660.082683
M7[t]18.29207411.7085181.5622880.1235690.061784
M8[t]-19.69058612.310286-1.5995230.1150460.057523
M9[t]-28.75985111.727142-2.4524180.0171670.008583
M10[t]-16.79918311.694561-1.4364950.1561430.078072
M11[t]-1.16764113.352737-0.0874460.9306130.465307
VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value
%Trade[t]-0.1911980.097231-8.31836500
%Constant1.368140.112063.2852070.0017180.000859
%t^1-0.1775880.016933-48.56737300
%M1[t]-0.0017640.001986-502.66696100
%M2[t]-0.0015530.001799-554.93863800
%M3[t]-0.0008010.001791-557.85061500
%M4[t]0.0038850.001889-527.37153800
%M5[t]0.0051730.001838-541.26224400
%M6[t]0.0029820.002123-469.63828500
%M7[t]0.0027650.00177-563.38255500
%M8[t]-0.0029770.001861-535.72892300
%M9[t]-0.0043480.001773-561.59519600
%M10[t]-0.002540.001768-564.18254900
%M11[t]-0.0001770.002019-495.29163500
VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value
S-Trade[t]-0.2267470.115309-1.9664350.0539580.026979
S-Constant00010.5
S-t^1-1.009880.096295-10.48740400
S-M1[t]-0.0540170.060799-0.8884580.3779020.188951
S-M2[t]-0.0517340.059946-0.8630060.3916290.195814
S-M3[t]-0.0267040.059678-0.4474660.6561770.328089
S-M4[t]0.1294350.0629322.0567320.0441420.022071
S-M5[t]0.1723450.0612382.8143550.0066320.003316
S-M6[t]0.0993550.0707331.4046580.1653660.082683
S-M7[t]0.0921370.0589761.5622880.1235690.061784
S-M8[t]-0.0991810.062007-1.5995230.1150460.057523
S-M9[t]-0.1448630.05907-2.4524180.0171670.008583
S-M10[t]-0.0846170.058905-1.4364950.1561430.078072
S-M11[t]-0.0058810.067258-0.0874460.9306130.465307
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
Trade[t]-0.24801
Constant0.84642
t^1-0.806758
M1[t]-0.114901
M2[t]-0.111651
M3[t]-0.058156
M4[t]0.258652
M5[t]0.344032
M6[t]0.179888
M7[t]0.199312
M8[t]-0.203867
M9[t]-0.304151
M10[t]-0.183829
M11[t]-0.011384
Critical Values (alpha = 5%)
1-tail CV at 5%1.68
2-tail CV at 5%2







Multiple Linear Regression - Regression Statistics
Multiple R0.94316
R-squared0.88955
Adjusted R-squared0.865214
F-TEST36.552312
Observations73
Degrees of Freedom59
Multiple Linear Regression - Residual Statistics
Standard Error20.157477
Sum Squared Errors23973.108396
Log Likelihood-315.071855
Durbin-Watson0.245369
Von Neumann Ratio0.248777
# e[t] > 037
# e[t] < 036
# Runs16
Stand. Normal Runs Statistic-5.067437

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Regression Statistics \tabularnewline

Multiple R
0.94316 \tabularnewline R-squared0.88955 \tabularnewline Adjusted R-squared0.865214 \tabularnewline F-TEST36.552312 \tabularnewline Observations73 \tabularnewline Degrees of Freedom59 \tabularnewline Multiple Linear Regression - Residual Statistics \tabularnewline Standard Error20.157477 \tabularnewline Sum Squared Errors23973.108396 \tabularnewline Log Likelihood-315.071855 \tabularnewline Durbin-Watson0.245369 \tabularnewline Von Neumann Ratio0.248777 \tabularnewline # e[t] > 037 \tabularnewline # e[t] < 036 \tabularnewline # Runs16 \tabularnewline Stand. Normal Runs Statistic-5.067437 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=2544&T=2

[TABLE]

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

[ROW][C]Multiple R[/C]
0.94316[/C][/ROW] [ROW][C]R-squared[/C]0.88955[/C][/ROW] [ROW][C]Adjusted R-squared[/C]0.865214[/C][/ROW] [ROW][C]F-TEST[/C]36.552312[/C][/ROW] [ROW][C]Observations[/C]73[/C][/ROW] [ROW][C]Degrees of Freedom[/C]59[/C][/ROW] [ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW] [ROW][C]Standard Error[/C]20.157477[/C][/ROW] [ROW][C]Sum Squared Errors[/C]23973.108396[/C][/ROW] [ROW][C]Log Likelihood[/C]-315.071855[/C][/ROW] [ROW][C]Durbin-Watson[/C]0.245369[/C][/ROW] [ROW][C]Von Neumann Ratio[/C]0.248777[/C][/ROW] [ROW][C]# e[t] > 0[/C]37[/C][/ROW] [ROW][C]# e[t] < 0[/C]36[/C][/ROW] [ROW][C]# Runs[/C]16[/C][/ROW] [ROW][C]Stand. Normal Runs Statistic[/C]-5.067437[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=2544&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2544&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 R0.94316
R-squared0.88955
Adjusted R-squared0.865214
F-TEST36.552312
Observations73
Degrees of Freedom59
Multiple Linear Regression - Residual Statistics
Standard Error20.157477
Sum Squared Errors23973.108396
Log Likelihood-315.071855
Durbin-Watson0.245369
Von Neumann Ratio0.248777
# e[t] > 037
# e[t] < 036
# Runs16
Stand. Normal Runs Statistic-5.067437







Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error484.248997
Akaike (1973) Log Information Criterion6.17779
Akaike (1974) Information Criterion481.925819
Schwarz (1978) Log Criterion6.617056
Schwarz (1978) Criterion747.7408
Craven-Wahba (1979) Generalized Cross Validation502.739705
Hannan-Quinn (1979) Criterion574.12398
Rice (1984) Criterion532.735742
Shibata (1981) Criterion454.359908

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Ad Hoc Selection Test Statistics \tabularnewline

Akaike (1969) Final Prediction Error
484.248997 \tabularnewline Akaike (1973) Log Information Criterion6.17779 \tabularnewline Akaike (1974) Information Criterion481.925819 \tabularnewline Schwarz (1978) Log Criterion6.617056 \tabularnewline Schwarz (1978) Criterion747.7408 \tabularnewline Craven-Wahba (1979) Generalized Cross Validation502.739705 \tabularnewline Hannan-Quinn (1979) Criterion574.12398 \tabularnewline Rice (1984) Criterion532.735742 \tabularnewline Shibata (1981) Criterion454.359908 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=2544&T=3

[TABLE]

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

[ROW][C]Akaike (1969) Final Prediction Error[/C]
484.248997[/C][/ROW] [ROW][C]Akaike (1973) Log Information Criterion[/C]6.17779[/C][/ROW] [ROW][C]Akaike (1974) Information Criterion[/C]481.925819[/C][/ROW] [ROW][C]Schwarz (1978) Log Criterion[/C]6.617056[/C][/ROW] [ROW][C]Schwarz (1978) Criterion[/C]747.7408[/C][/ROW] [ROW][C]Craven-Wahba (1979) Generalized Cross Validation[/C]502.739705[/C][/ROW] [ROW][C]Hannan-Quinn (1979) Criterion[/C]574.12398[/C][/ROW] [ROW][C]Rice (1984) Criterion[/C]532.735742[/C][/ROW] [ROW][C]Shibata (1981) Criterion[/C]454.359908[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=2544&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2544&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 Error484.248997
Akaike (1973) Log Information Criterion6.17779
Akaike (1974) Information Criterion481.925819
Schwarz (1978) Log Criterion6.617056
Schwarz (1978) Criterion747.7408
Craven-Wahba (1979) Generalized Cross Validation502.739705
Hannan-Quinn (1979) Criterion574.12398
Rice (1984) Criterion532.735742
Shibata (1981) Criterion454.359908








Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression13193077.00119314852.077015
Residual5923973.108396406.323871
Total72217050.1095893014.5848554033
F-TEST36.552312
p-value0

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Analysis of Variance \tabularnewline

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

Regression
13193077.00119314852.077015 \tabularnewline Residual5923973.108396406.323871 \tabularnewline Total72217050.1095893014.5848554033 \tabularnewline F-TEST36.552312 \tabularnewline p-value0 \tabularnewline
\hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=2544&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]
13[/C]193077.001193[/C]14852.077015[/C][/ROW] [ROW][C]Residual[/C]59[/C]23973.108396[/C]406.323871[/C][/ROW] [ROW][C]Total[/C]72[/C]217050.109589[/C]3014.5848554033[/C][/ROW] [ROW][C]F-TEST[/C]36.552312[/C][/ROW] [ROW][C]p-value[/C]0[/C][/ROW]
[/TABLE] Source: https://freestatistics.org/blog/index.php?pk=2544&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2544&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
Regression13193077.00119314852.077015
Residual5923973.108396406.323871
Total72217050.1095893014.5848554033
F-TEST36.552312
p-value0



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