новая папка / CourseWork / MxPSER_CW_Приложения

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Национальный доход.

MODEL PROGRAM A1=0 A2=0 .

COMPUTE PRED_ = EXP(A1 * t0) * (k **A2 )* (l **(1 - A2) ).

Nonlinear Regression Summary Statistics Dependent Variable Y

Source DF Sum of Squares Mean Square

Regression 2 416364678,863 208182339,432

Residual 28 908020,44287 32429,30153

Uncorrected Total 30 417272699,306

(Corrected Total) 29 33528996,3463

R squared = 1 - Residual SS / Corrected SS = ,97292

Asymptotic 95 %

Asymptotic Confidence Interval

Parameter Estimate Std. Error Lower Upper

A1 -,000351202 ,001244983 -,002901434 ,002199031

A2 ,871540956 ,006447379 ,858334098 ,884747814

Asymptotic Correlation Matrix of the Parameter Estimates

A1 A2

A1 1,0000 -,9452

A2 -,9452 1,0000

Инвестиции.

MODEL PROGRAM A1=0 .

COMPUTE PRED_ = A1 * (y - tax).

Nonlinear Regression Summary Statistics Dependent Variable I

Source DF Sum of Squares Mean Square

Regression 1 10379875,5406 10379875,5406

Residual 29 152332,20182 5252,83455

Uncorrected Total 30 10532207,7425

(Corrected Total) 29 1060729,77362

R squared = 1 - Residual SS / Corrected SS = ,85639

Asymptotic 95 %

Asymptotic Confidence Interval

Parameter Estimate Std. Error Lower Upper

A1 ,204788602 ,004606877 ,195366482 ,214210723

Потребительский спрос.

MODEL PROGRAM A1=0 .

COMPUTE PRED_ = A1 * (y - tax).

Nonlinear Regression Summary Statistics Dependent Variable C

Source DF Sum of Squares Mean Square

Regression 1 172015050,199 172015050,199

Residual 29 160364,83065 5529,82175

Uncorrected Total 30 172175415,030

(Corrected Total) 29 15115442,9145

R squared = 1 - Residual SS / Corrected SS = ,98939

Asymptotic 95 %

Asymptotic Confidence Interval

Parameter Estimate Std. Error Lower Upper

A1 ,833667618 ,004726779 ,824000269 ,843334966

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Численность работающих.

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Ставка почасовой оплаты труда.

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Государственные расходы.

MODEL PROGRAM A1=0 A2=0 .

COMPUTE PRED_ = A1 *EXP(A2 * t0).

Nonlinear Regression Summary Statistics Dependent Variable G

Source DF Sum of Squares Mean Square

Regression 2 16073249,4361 8036624,71805

Residual 28 13121,43532 468,62269

Uncorrected Total 30 16086370,8714

(Corrected Total) 29 839070,02435

R squared = 1 - Residual SS / Corrected SS = ,98436

Asymptotic 95 %

Asymptotic Confidence Interval

Parameter Estimate Std. Error Lower Upper

A1 456,06104601 6,372396884 443,00778272 469,11430929

A2 ,027058924 ,000664752 ,025697242 ,028420606

Asymptotic Correlation Matrix of the Parameter Estimates

A1 A2

A1 1,0000 -,9223

A2 -,9223 1,0000

Предложение денег.

MODEL PROGRAM A0=0 A1=0 A2=0 A3=0 .

COMPUTE PRED_ = A0 + A1 *t0 + A2 * y * p + A3 * ir.

Nonlinear Regression Summary Statistics Dependent Variable M

Source DF Sum of Squares Mean Square

Regression 4 11341005,8074 2835251,45186

Residual 26 13549,71493 521,14288

Uncorrected Total 30 11354555,5224

(Corrected Total) 29 319238,72337

R squared = 1 - Residual SS / Corrected SS = ,95756

Asymptotic 95 %

Asymptotic Confidence Interval

Parameter Estimate Std. Error Lower Upper

A0 544,83334443 15,691854376 512,57827581 577,08841304

A1 -3,501079053 1,391312529 -6,360962914 -,641195191

A2 ,000504250 ,000049295 ,000402923 ,000605578

A3 -4,141502504 1,170966468 -6,548458550 -1,734546457

A0 A1 A2 A3

A0 1,0000 -,1573 -,0185 -,7982

A1 -,1573 1,0000 -,9381 -,2958

A2 -,0185 -,9381 1,0000 ,3274

A3 -,7982 -,2958 ,3274 1,0000

Численность трудоспособного населения.

MODEL PROGRAM A0=0 A1=0 A2=0 .

COMPUTE PRED_ = A0 + A1 *(t0 ** A2) .

Nonlinear Regression Summary Statistics Dependent Variable LN

Source DF Sum of Squares Mean Square

Regression 3 322816,80431 107605,60144

Residual 27 120,41569 4,45984

Uncorrected Total 30 322937,22000

(Corrected Total) 29 8446,33467

R squared = 1 - Residual SS / Corrected SS = ,98574

Asymptotic 95 %

Asymptotic Confidence Interval

Parameter Estimate Std. Error Lower Upper

A0 66,534507911 2,427723793 61,553230146 71,515785676

A1 4,448256590 1,122307245 2,145472337 6,751040844

A2 ,773603877 ,066001692 ,638179592 ,909028162

Asymptotic Correlation Matrix of the Parameter Estimates

A0 A1 A2

A0 1,0000 -,9537 ,9263

A1 -,9537 1,0000 -,9958

A2 ,9263 -,9958 1,0000

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Индекс потребительских цен.

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Средняя ставка налогообложения.

MODEL PROGRAM A1=0 A2=0 .

COMPUTE PRED_ = A1 *t0 ** A2.

Non-linear Regression

All the derivatives will be calculated numerically.

_

The following new variables are being created:

Name Label

PRED_ Predicted Values

_

Iteration Residual SS A1 A2

1 16036,12175 ,000000000 ,000000000

1.1 721,6390912 18,5695338 ,000000000

2 721,6390912 18,5695338 ,000000000

2.1 19,38229373 25,9787812 -,05176931

3 19,38229373 25,9787812 -,05176931

3.1 2,157215723 26,0396296 -,03972973

4 2,157215723 26,0396296 -,03972973

4.1 2,150803001 26,0514153 -,04012994

5 2,150803001 26,0514153 -,04012994

5.1 2,150802970 26,0512851 -,04012801

6 2,150802970 26,0512851 -,04012801

6.1 2,150802970 26,0512857 -,04012802

Run stopped after 12 model evaluations and 6 derivative evaluations.

Iterations have been stopped because the relative reduction between successive

residual sums of squares is at most SSCON = 1,000E-08

Nonlinear Regression Summary Statistics Dependent Variable R

Source DF Sum of Squares Mean Square

Regression 2 16033,97095 8016,98547

Residual 27 2,15080 ,07966

Uncorrected Total 29 16036,12175

(Corrected Total) 28 15,54594

R squared = 1 - Residual SS / Corrected SS = ,86165

Asymptotic 95 %

Asymptotic Confidence Interval

Parameter Estimate Std. Error Lower Upper

A1 26,051285692 ,210154278 25,620084732 26,482486652

A2 -,040128018 ,003060776 -,046408210 -,033847825

Asymptotic Correlation Matrix of the Parameter Estimates

A1 A2

A1 1,0000 -,9611

A2 -,9611 1,0000