3. Multiple Regression Analysis

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Dependent variable: Lt

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Standard T

Parameter Estimate Error Statistic P-Value

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Rt -37,4588 7,54211 -4,96662 0,0004

Gt 0,0219194 0,0021451 10,2184 0,0000

Nt 1,05458 0,0359668 29,3208 0,0000

Tt_1 0,00929677 0,00169647 5,48007 0,0002

Kt_1 -0,00458389 0,000544533 -8,41802 0,0000

It_1 0,00300709 0,000989617 3,03864 0,0113

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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 159342,0 6 26557,1 870123,88 0,0000

Residual 0,335731 11 0,030521

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Total 159343,0 17

R-squared = 99,9998 percent

R-squared (adjusted for d.f.) = 99,9997 percent

Standard Error of Est. = 0,174703

Mean absolute error = 0,123375

Durbin-Watson statistic = 2,4049

4. Multiple Regression Analysis

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Dependent variable: Pt

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Standard T

Parameter Estimate Error Statistic P-Value

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CONSTANT 0,564396 0,184033 3,06682 0,0098

t 0,0270663 0,00817323 3,31158 0,0062

index -0,261261 0,079244 -3,29692 0,0064

Nt_1 -0,00429056 0,00181919 -2,3585 0,0361

Pt_1 0,606492 0,142743 4,24884 0,0011

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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 0,822705 4 0,205676 2076,19 0,0000

Residual 0,00118877 12 0,0000990642

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Total (Corr.) 0,823894 16

R-squared = 99,8557 percent

R-squared (adjusted for d.f.) = 99,8076 percent

Standard Error of Est. = 0,0099531

Mean absolute error = 0,00709384

Durbin-Watson statistic = 2,04616