?? 例09-14計算結果.lst
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The SAS System 16:30 Sunday, July 27, 1997 1
Non-Linear Least Squares Iterative Phase Dependent Variable Y Method: Gauss-Newton
Iter A B Sum of Squares
0 0 0 58860.142700
1 110.060188 36.115414 234.334667
2 110.060188 36.115414 234.334667
NOTE: Convergence criterion met.
Non-Linear Least Squares Summary Statistics Dependent Variable Y
Source DF Sum of Squares Mean Square
Regression 2 58625.808033 29312.904016
Residual 3 234.334667 78.111556
Uncorrected Total 5 58860.142700
(Corrected Total) 4 11801.561720
Parameter Estimate Asymptotic Asymptotic 95 %
Std. Error Confidence Interval
Lower Upper
A 110.0601876 4.0953221738 97.026824733 123.09355037
B 36.1154141 2.9678067143 26.670369264 45.56045900
Asymptotic Correlation Matrix
Corr A B
儍儍儍儍儍儍儍儍儍儍儍儍儍儍儍儍儍儍儍儍
A 1 0.2617812629
B 0.2617812629 1
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