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  1. W = 12,4741 + 0,0521515*P - 0,418268*U

Multiple Regression Analysis

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Dependent variable: W

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Standard T

Parameter Estimate Error Statistic P-Value

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CONSTANT 12,4741 0,471165 26,4751 0,0000

P 0,0521515 0,00223144 23,3712 0,0000

U -0,418268 0,0765534 -5,46374 0,0000

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Analysis of Variance

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Source Sum of Squares Df Mean Square F-Ratio P-Value

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Model 145,601 2 72,8006 317,78 0,0000

Residual 6,1855 27 0,229093

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Total (Corr.) 151,787 29

R-squared = 95,9249 percent

R-squared (adjusted for d.f.) = 95,623 percent

Standard Error of Est. = 0,478636

Mean absolute error = 0,342584

Durbin-Watson statistic = 0,681352

  1. W = 0,0830704*P + 1,41934*U

Multiple Regression Analysis

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Dependent variable: W

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Standard T

Parameter Estimate Error Statistic P-Value

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P 0,0830704 0,00969498 8,5684 0,0000

U 1,41934 0,164651 8,62033 0,0000

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Analysis of Variance

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Source Sum of Squares Df Mean Square F-Ratio P-Value

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Model 6321,56 2 3160,78 530,70 0,0000

Residual 166,763 28 5,95583

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Total 6488,32 30

R-squared = 97,4298 percent

R-squared (adjusted for d.f.) = 97,338 percent

Standard Error of Est. = 2,44046

Mean absolute error = 1,98635

Durbin-Watson statistic = 0,387867

  1. W = 10,1401 + 0,0541644*P

Multiple Regression Analysis

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Dependent variable: W

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Standard T

Parameter Estimate Error Statistic P-Value

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CONSTANT 10,1401 0,283206 35,8045 0,0000

P 0,0541644 0,00313603 17,2717 0,0000

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Analysis of Variance

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Source Sum of Squares Df Mean Square F-Ratio P-Value

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Model 138,762 1 138,762 298,31 0,0000

Residual 13,0245 28 0,46516

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Total (Corr.) 151,787 29

R-squared = 91,4192 percent

R-squared (adjusted for d.f.) = 91,1128 percent

Standard Error of Est. = 0,682026

Mean absolute error = 0,478565

Durbin-Watson statistic = 0,564612

  1. W = 2,63378*U

Multiple Regression Analysis

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Dependent variable: W

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Standard T

Parameter Estimate Error Statistic P-Value

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U 2,63378 0,156697 16,8081 0,0000

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Analysis of Variance

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Source Sum of Squares Df Mean Square F-Ratio P-Value

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Model 5884,29 1 5884,29 282,51 0,0000

Residual 604,025 29 20,8284

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Total 6488,32 30

R-squared = 90,6906 percent

R-squared (adjusted for d.f.) = 90,6906 percent

Standard Error of Est. = 4,56382

Mean absolute error = 3,23882

Durbin-Watson statistic = 0,307197

Спрос на деньги

  1. M = 361,349 + 0,0880641*Y - 6,19341*_i

Multiple Regression Analysis

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Dependent variable: M

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Standard T

Parameter Estimate Error Statistic P-Value

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CONSTANT 361,349 17,2583 20,9377 0,0000

Y 0,0880641 0,00361907 24,3334 0,0000

_i -6,19341 0,822417 -7,53074 0,0000

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Analysis of Variance

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Source Sum of Squares Df Mean Square F-Ratio P-Value

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Model 292894,0 2 146447,0 349,67 0,0000

Residual 11308,1 27 418,818

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Total (Corr.) 304202,0 29

R-squared = 96,2827 percent

R-squared (adjusted for d.f.) = 96,0073 percent

Standard Error of Est. = 20,4651

Mean absolute error = 15,1423

Durbin-Watson statistic = 0,667764

  1. M = 279,124 + 0,0911524*Y

Multiple Regression Analysis

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Dependent variable: M

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Standard T

Parameter Estimate Error Statistic P-Value

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CONSTANT 279,124 23,1098 12,0782 0,0000

Y 0,0911524 0,00621735 14,661 0,0000

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Analysis of Variance

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Source Sum of Squares Df Mean Square F-Ratio P-Value

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Model 269142,0 1 269142,0 214,94 0,0000

Residual 35060,2 28 1252,15

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Total (Corr.) 304202,0 29

R-squared = 88,4747 percent

R-squared (adjusted for d.f.) = 88,0631 percent

Standard Error of Est. = 35,3857

Mean absolute error = 28,9415

Durbin-Watson statistic = 0,472721

  1. log(M) = 0,805161*log(Y) - 0,0692156*log(_i)

Multiple Regression Analysis

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Dependent variable: log(M)

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Standard T

Parameter Estimate Error Statistic P-Value

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log(Y) 0,805161 0,0154254 52,1969 0,0000

log(_i) -0,0692156 0,0523606 -1,3219 0,1969

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Analysis of Variance

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Source Sum of Squares Df Mean Square F-Ratio P-Value

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Model 1225,9 2 612,949 48827,18 0,0000

Residual 0,351496 28 0,0125534

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Total 1226,25 30

R-squared = 99,9713 percent

R-squared (adjusted for d.f.) = 99,9703 percent

Standard Error of Est. = 0,112042

Mean absolute error = 0,0899086

Durbin-Watson statistic = 0,0809535

  1. log(M) = 0,785042*log(Y)

Multiple Regression Analysis

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Dependent variable: log(M)

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Standard T

Parameter Estimate Error Statistic P-Value

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log(Y) 0,785042 0,00254435 308,543 0,0000

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Analysis of Variance

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Source Sum of Squares Df Mean Square F-Ratio P-Value

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Model 1225,88 1 1225,88 95199,01 0,0000

Residual 0,373433 29 0,012877

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Total 1226,25 30

R-squared = 99,9695 percent

R-squared (adjusted for d.f.) = 99,9695 percent

Standard Error of Est. = 0,113477

Mean absolute error = 0,0933194

Durbin-Watson statistic = 0,157626

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