95,0% Confidence intervals for coefficient estimates
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Standard
Parameter Estimate Error Lower Limit Upper Limit
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CONSTANT 0,0 1,29649 -2,62941 2,62941
Cos1 -5,46451 1,82933 -9,17458 -1,75444
Sin1 7,87175 1,82933 4,16168 11,5818
Cos2 -2,66854 1,83352 -6,38709 1,05001
Sin2 4,71228 1,82514 1,01072 8,41385
Cos3 0,63125 1,83352 -3,0873 4,3498
Sin3 -0,84875 1,83352 -4,5673 2,8698
Cos4 -0,058125 1,83352 -3,77668 3,66043
Sin4 0,972342 1,82514 -2,72922 4,67391
Cos5 -0,447989 1,82933 -4,15806 3,26208
Sin5 1,1045 1,82933 -2,60556 4,81457
_11 0,110417 1,29649 -2,519 2,73983
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Приложение 17
Multiple Regression Analysis
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Dependent variable: e
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Standard T
Parameter Estimate Error Statistic P-Value
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Cos1 -5,46246 1,67862 -3,25413 0,0022
Sin1 7,86669 1,67862 4,6864 0,0000
Cos2 -2,66854 1,68248 -1,58608 0,1199
Sin2 4,71228 1,67479 2,81365 0,0073
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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 2920,23 4 730,057 10,75 0,0000
Residual 2989,25 44 67,9376
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Total 5909,48 48
R-squared = 49,416 percent
R-squared (adjusted for d.f.) = 45,9671 percent
Standard Error of Est. = 8,24242
Mean absolute error = 6,31244
Durbin-Watson statistic = 0,990161
95,0% Confidence intervals for coefficient estimates
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Standard
Parameter Estimate Error Lower Limit Upper Limit
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Cos1 -5,46246 1,67862 -8,84551 -2,07941
Sin1 7,86669 1,67862 4,48364 11,2497
Cos2 -2,66854 1,68248 -6,05936 0,722276
Sin2 4,71228 1,67479 1,33696 8,08761
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