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Table 1.

Determination of the degree of polynomial regression of Fig. 2A 

Degreer2 adjustedResidual sum of squaresd.f.FP(F)t for the highest termP(t)
0.394 2240 14 10.75 0.0055 -3.28 0.005 
0.349 2232 13 5.03 0.0240 0.20 0.843 
0.634 1159 12 9.67 0.0016 3.34 0.006 
0.602 1155 11 6.68 0.0056 -0.19 0.853 
0.708 770 10 8.28 0.0025 -2.23 0.050 
Degreer2 adjustedResidual sum of squaresd.f.FP(F)t for the highest termP(t)
0.394 2240 14 10.75 0.0055 -3.28 0.005 
0.349 2232 13 5.03 0.0240 0.20 0.843 
0.634 1159 12 9.67 0.0016 3.34 0.006 
0.602 1155 11 6.68 0.0056 -0.19 0.853 
0.708 770 10 8.28 0.0025 -2.23 0.050 

Total sum of squares 3959, d.f. 15.

The table includes the following: the degree of polynomial regression(Degree); the adjusted coefficient of determination (r2);the sum of squares about the regression (Residual sum of squares) and degrees of freedom (d.f.); the variance ratio (F) and the probability value, P(F), testing the significance of the decrease in residual mean square; Student's t-test (t for the highest term) and its P(t) value for the introduction of the last term in the regression equation.

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