3. 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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Kt_Kt_1 2,42739 0,146363 16,5847 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 4,62521E6 1 4,62521E6 275,05 0,0000

Residual 252236,0 15 16815,7

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Total 4,87745E6 16

R-squared = 94,8285 percent

R-squared (adjusted for d.f.) = 94,8285 percent

Standard Error of Est. = 129,675

Mean absolute error = 106,035

Durbin-Watson statistic = 2,00314

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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Pt_1 1,05679 0,00496215 212,971 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 10,9671 1 10,9671 45356,52 0,0000

Residual 0,00362696 15 0,000241797

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Total 10,9707 16

R-squared = 99,9669 percent

R-squared (adjusted for d.f.) = 99,9669 percent

Standard Error of Est. = 0,0155498

Mean absolute error = 0,0115757

Durbin-Watson statistic = 1,38184

5. Multiple Regression Analysis

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Dependent variable: Wn

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Standard T

Parameter Estimate Error Statistic P-Value

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CONSTANT 0,797987 0,113178 7,05075 0,0000

Pt 10,6002 0,139506 75,9838 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 93,3173 1 93,3173 5773,54 0,0000

Residual 0,242444 15 0,0161629

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Total (Corr.) 93,5597 16

R-squared = 99,7409 percent

R-squared (adjusted for d.f.) = 99,7236 percent

Standard Error of Est. = 0,127133

Mean absolute error = 0,0977707

Durbin-Watson statistic = 1,40102