Численность рабочей силы
L = 0,00240964*I + 3,39179*W + 0,0701343*G
Multiple Regression Analysis
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Dependent variable: L
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Standard T
Parameter Estimate Error Statistic P-Value
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I -0,00240964 0,0112439 -0,214306 0,8319
W 3,39179 0,639119 5,30699 0,0000
G 0,0701343 0,0162801 4,30798 0,0002
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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 295195,0 3 98398,3 2920,87 0,0000
Residual 909,577 27 33,6881
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Total 296104,0 30
R-squared = 99,6928 percent
R-squared (adjusted for d.f.) = 99,6701 percent
Standard Error of Est. = 5,80414
Mean absolute error = 4,2265
Durbin-Watson statistic = 0,431859
L = 3,40123*W + 0,0680134*G
Multiple Regression Analysis
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Dependent variable: L
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Standard T
Parameter Estimate Error Statistic P-Value
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W 3,40123 0,626642 5,42771 0,0000
G 0,0680134 0,0127047 5,35341 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 295193,0 2 147597,0 4535,83 0,0000
Residual 911,125 28 32,5402
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Total 296104,0 30
R-squared = 99,6923 percent
R-squared (adjusted for d.f.) = 99,6813 percent
Standard Error of Est. = 5,7044
Mean absolute error = 4,20242
Durbin-Watson statistic = 0,431143
L = 6,73442*W
Multiple Regression Analysis
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Dependent variable: L
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Standard T
Parameter Estimate Error Statistic P-Value
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W 6,73442 0,0989873 68,0332 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 294261,0 1 294261,0 4628,51 0,0000
Residual 1843,69 29 63,5757
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Total 296104,0 30
R-squared = 99,3773 percent
R-squared (adjusted for d.f.) = 99,3773 percent
Standard Error of Est. = 7,97344
Mean absolute error = 6,84305
Durbin-Watson statistic = 0,2976
Инвестиции
I = 1,98878 + 0,0584036*_T + 0,39256*_i + 0,826866*K -0,771204*lag(K;1) + 0,0756373*Y - 0,0813253*lag(Y;1)
Multiple Regression Analysis
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Dependent variable: I
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Standard T
Parameter Estimate Error Statistic P-Value
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CONSTANT 1,98878 4,45699 0,446216 0,6598
_T 0,0584036 0,0524091 1,11438 0,2771
_i 0,39256 0,108503 3,61798 0,0015
K 0,826866 0,0158103 52,299 0,0000
lag(K;1) -0,771204 0,0154311 -49,9772 0,0000
Y 0,0756373 0,0156273 4,84006 0,0001
lag(Y;1) -0,0813253 0,00779913 -10,4275 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 954949,0 6 159158,0 29809,36 0,0000
Residual 117,462 22 5,3392
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Total (Corr.) 955067,0 28
R-squared = 99,9877 percent
R-squared (adjusted for d.f.) = 99,9843 percent
Standard Error of Est. = 2,31067
Mean absolute error = 1,62539
Durbin-Watson statistic = 2,78704
2. I = 0,0786281*_T + 0,414621*_i + 0,827699*K - 0,771895*lag(K;1) +
0,0706372*Y - 0,0808155*lag(Y;1)
Multiple Regression Analysis
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Dependent variable: I
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Standard T
Parameter Estimate Error Statistic P-Value
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_T 0,0786281 0,0258514 3,04154 0,0058
_i 0,414621 0,094887 4,36963 0,0002
K 0,827699 0,0154241 53,6628 0,0000
lag(K;1) -0,771895 0,0150835 -51,1748 0,0000
Y 0,0706372 0,0107013 6,60081 0,0000
lag(Y;1) -0,0808155 0,00757947 -10,6624 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 1,02653E7 6 1,71089E6 331999,34 0,0000
Residual 118,526 23 5,15328
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Total 1,02654E7 29
R-squared = 99,9988 percent
R-squared (adjusted for d.f.) = 99,9986 percent
Standard Error of Est. = 2,27008
Mean absolute error = 1,67063
Durbin-Watson statistic = 2,7949
3. I = 6,28415 + 0,362966*_i + 0,82496*K - 0,770087*lag(K;1) +
0,0900579*Y - 0,0818685*lag(Y;1)
Multiple Regression Analysis
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Dependent variable: I
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Standard T
Parameter Estimate Error Statistic P-Value
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CONSTANT 6,28415 2,2495 2,79358 0,0103
_i 0,362966 0,105754 3,43217 0,0023
K 0,82496 0,0157999 52,2129 0,0000
lag(K;1) -0,770087 0,0154793 -49,7496 0,0000
Y 0,0900579 0,0088071 10,2256 0,0000
lag(Y;1) -0,0818685 0,00782469 -10,4628 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 954942,0 5 190988,0 35398,78 0,0000
Residual 124,093 23 5,39534
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Total (Corr.) 955067,0 28
R-squared = 99,987 percent
R-squared (adjusted for d.f.) = 99,9842 percent
Standard Error of Est. = 2,32279
Mean absolute error = 1,58563
Durbin-Watson statistic = 2,75978