6. 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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Nt_1 0,944176 0,00539657 174,958 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 185024,0 1 185024,0 30610,47 0,0000

Residual 108,801 18 6,04447

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Total 185133,0 19

R-squared = 99,9412 percent

R-squared (adjusted for d.f.) = 99,9412 percent

Standard Error of Est. = 2,45855

Mean absolute error = 2,04809

Durbin-Watson statistic = 3,02354

7. Regression Analysis - Square root-X model: Y = a + b*sqrt(X)

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Dependent variable: Rt

Independent variable: t

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Standard T

Parameter Estimate Error Statistic P-Value

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Intercept 0,241457 0,00156447 154,338 0,0000

Slope -0,00310327 0,000494729 -6,27267 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 0,000171756 1 0,000171756 39,35 0,0000

Residual 0,000074209 170,00000436523

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Total (Corr.) 0,000245965 18

Correlation Coefficient = -0,83564

R-squared = 69,8295 percent

Standard Error of Est. = 0,00208931

8. Multiple Regression Analysis

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Dependent variable: Wnt

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Standard T

Parameter Estimate Error Statistic P-Value

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CONSTANT 1,53453 0,314256 4,88306 0,0002

Ut_Nt -10,7568 4,39963 -2,44493 0,0264

Pt 10,6574 0,0980679 108,674 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 149,633 2 74,8164 6170,34 0,0000

Residual 0,194003 16 0,0121252

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Total (Corr.) 149,827 18

R-squared = 99,8705 percent

R-squared (adjusted for d.f.) = 99,8543 percent

Standard Error of Est. = 0,110114

Mean absolute error = 0,0855947

Durbin-Watson statistic = 1,1354