Приложение 2.
Национальный доход
Y = -81,5201*t + 1,02521*K - 15,0404*L
Multiple Regression Analysis
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Dependent variable: Y
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Standard T
Parameter Estimate Error Statistic P-Value
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t -81,5201 12,0714 -6,75316 0,0000
K 1,02521 0,0810081 12,6556 0,0000
L -15,0404 3,26953 -4,60016 0,0001
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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 4,1425E8 3 1,38083E8 16406,99 0,0000
Residual 227236,0 27 8416,14
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Total 4,14478E8 30
R-squared = 99,9452 percent
R-squared (adjusted for d.f.) = 99,9411 percent
Standard Error of Est. = 91,7395
Mean absolute error = 74,6925
Durbin-Watson statistic = 0,917233
Y = 1824,6 + 0,828784*K - 34,2471*L
Multiple Regression Analysis
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Dependent variable: Y
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Standard T
Parameter Estimate Error Statistic P-Value
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CONSTANT 1824,6 470,897 3,87473 0,0006
K 0,828784 0,0900878 9,19973 0,0000
L -34,2471 10,3633 -3,30464 0,0027
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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 3,19998E7 2 1,59999E7 1100,08 0,0000
Residual 392695,0 27 14544,3
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Total (Corr.) 3,23925E7 29
R-squared = 98,7877 percent
R-squared (adjusted for d.f.) = 98,6979 percent
Standard Error of Est. = 120,6
Mean absolute error = 95,69
Durbin-Watson statistic = 0,796217
Y = 0,493348*K + 5,41587*L
Multiple Regression Analysis
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Dependent variable: Y
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Standard T
Parameter Estimate Error Statistic P-Value
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K 0,493348 0,0305361 16,1562 0,0000
L 5,41587 1,98151 2,7332 0,0107
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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 4,13866E8 2 2,06933E8 9482,17 0,0000
Residual 611055,0 28 21823,4
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Total 4,14478E8 30
R-squared = 99,8526 percent
R-squared (adjusted for d.f.) = 99,8473 percent
Standard Error of Est. = 147,727
Mean absolute error = 118,95
Durbin-Watson statistic = 0,894944
log(Y) = 1,54775*log(K) - 1,15702*log(L)
Multiple Regression Analysis
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Dependent variable: log(Y)
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Standard T
Parameter Estimate Error Statistic P-Value
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log(K) 1,54775 0,247761 6,24695 0,0000
log(L) -1,15702 0,470283 -2,46026 0,0203
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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 1989,07 2 994,537 595448,34 0,0000
Residual 0,0467665 28 0,00167023
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Total 1989,12 30
R-squared = 99,9976 percent
R-squared (adjusted for d.f.) = 99,9976 percent
Standard Error of Est. = 0,0408685
Mean absolute error = 0,0311553
Durbin-Watson statistic = 0,668808
log(Y) = 1,45972*log(K) - 0,98451*log(L) - 0,00156419*t
Multiple Regression Analysis
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Dependent variable: log(Y)
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Standard T
Parameter Estimate Error Statistic P-Value
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log(K) 1,45972 0,245185 5,95355 0,0000
log(L) -0,98451 0,466069 -2,11237 0,0440
t -0,00156419 0,000916215 -1,70723 0,0993
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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 1989,08 3 663,026 424110,80 0,0000
Residual 0,04221 27 0,00156333
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Total 1989,12 30
R-squared = 99,9979 percent
R-squared (adjusted for d.f.) = 99,9977 percent
Standard Error of Est. = 0,039539
Mean absolute error = 0,0309468
Durbin-Watson statistic = 0,711192
log(Y) = 0,312631 + 1,42791*log(K) - 0,997875*log(L)
Multiple Regression Analysis
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Dependent variable: log(Y)
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Standard T
Parameter Estimate Error Statistic P-Value
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CONSTANT 0,312631 0,198691 1,57345 0,1273
log(K) 1,42791 0,253205 5,63936 0,0000
log(L) -0,997875 0,469385 -2,12592 0,0428
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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 2,53157 2 1,26578 797,79 0,0000
Residual 0,0428384 27 0,00158661
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Total (Corr.) 2,5744 29
R-squared = 98,336 percent
R-squared (adjusted for d.f.) = 98,2127 percent
Standard Error of Est. = 0,0398323
Mean absolute error = 0,0311788
Durbin-Watson statistic = 0,72019