Государственные расходы
Comparison of Alternative Models
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Model Correlation R-Squared
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Exponential 0,9902 98,05%
Square root-Y 0,9883 97,68%
Reciprocal-Y -0,9856 97,14%
Linear 0,9839 96,81%
Square root-X 0,9497 90,19%
Multiplicative 0,9084 82,52%
Logarithmic-X 0,8687 75,46%
Double reciprocal 0,7059 49,83%
S-curve -0,6465 41,79%
Reciprocal-X -0,5882 34,60%
Logistic <no fit>
Log probit <no fit>
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Regression Analysis - Exponential model: Y = exp(a + b*X)
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Dependent variable: G
Independent variable: t
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Standard T
Parameter Estimate Error Statistic P-Value
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Intercept 6,09977 0,0130993 465,655 0,0000
Slope 0,0277001 0,000737868 37,5407 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 1,72449 1 1,72449 1409,30 0,0000
Residual 0,0342622 28 0,00122365
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Total (Corr.) 1,75876 29
Correlation Coefficient = 0,990212
R-squared = 98,0519 percent
Standard Error of Est. = 0,0349807
G = exp(6,09977 + 0,0277001*t)
Процентная ставка на капитал
Comparison of Alternative Models
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Model Correlation R-Squared
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Double reciprocal 0,3198 10,23%
S-curve -0,2853 8,14%
Reciprocal-X -0,2495 6,23%
Reciprocal-Y 0,1183 1,40%
Exponential -0,1101 1,21%
Multiplicative 0,1087 1,18%
Square root-Y -0,1055 1,11%
Logarithmic-X 0,1039 1,08%
Linear -0,1013 1,03%
Square root-X -0,0061 0,00%
Logistic <no fit>
Log probit <no fit>
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