7. Multiple Regression Analysis

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Dependent variable: Wnt

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Standard T

Parameter Estimate Error Statistic P-Value

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CONSTANT 0,920806 0,114072 8,07217 0,0000

Pt_1 11,0772 0,148983 74,3526 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 93,3065 1 93,3065 5528,31 0,0000

Residual 0,253169 15 0,0168779

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Total (Corr.) 93,5597 16

R-squared = 99,7294 percent

R-squared (adjusted for d.f.) = 99,7114 percent

Standard Error of Est. = 0,129915

Mean absolute error = 0,0890746

Durbin-Watson statistic = 1,4113

Приложение №4.14

(2МНК: 2-й шаг)

1. Multiple Regression Analysis

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Dependent variable: ln_Y_L

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Standard T

Parameter Estimate Error Statistic P-Value

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t -0,00940263 0,00227151 -4,13938 0,0009

ln_K_L 0,866655 0,00563445 153,814 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 207,665 2 103,833 52464,90 0,0000

Residual 0,0296863 15 0,00197909

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Total 207,695 17

R-squared = 99,9857 percent

R-squared (adjusted for d.f.) = 99,9848 percent

Standard Error of Est. = 0,0444869

Mean absolute error = 0,0348783

Durbin-Watson statistic = 0,641081

2. Multiple Regression Analysis

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Dependent variable: C

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Standard T

Parameter Estimate Error Statistic P-Value

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Yt 0,642478 0,00515729 124,577 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 7,21577E7 1 7,21577E7 15519,34 0,0000

Residual 74392,5 16 4649,53

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Total 7,2232E7 17

R-squared = 99,897 percent

R-squared (adjusted for d.f.) = 99,897 percent

Standard Error of Est. = 68,1875

Mean absolute error = 57,9995

Durbin-Watson statistic = 2,36652