| Model |
R2 |
Adjusted R2 |
Predicted R2 |
SD |
% CV |
Remark |
Response (Y1)
Linear
2FI
Quadratic |
0.2318
0.3485
0.9998 |
0.0223
-0.1401
0.9996 |
-0.4708
-1.7366
0.9987 |
48194.01
52043.04
1010.61 |
-
-
0.027 |
-
-
Suggested |
Response (Y2)
Linear
2FI
Quadratic |
0.7119
0.8232
1.000 |
0.6333
0.6906
0.9999 |
0.4535
0.3548
0.9997 |
0.31
0.29
4.830E-003 |
-
-
0.12 |
-
-
Suggested |
Response (Y3)
Linear
2FI
Quadratic |
0.7485
0.8255
0.9999 |
0.6418
0.6946
0.9996 |
0.4734
0.3914
0.9989 |
0.25
0.23
8.367E-003 |
-
-
0.36 |
-
-
Suggested |
Regression equations of the fitted model
Y1 (Area) = +423400 +30316.37 * A+1416.37 * B-6530.75*C-6491.00 *A*B+30441.25*A*-1250.75*B*C-67629.17*A2 31855.17*B2+
16817.08*C2------------------------------------------------------------------------------------------------------------------------equation 1
Y2(Rt) =+3.68+0.55*A0.18*B5.000E003*C+0.11*A*B0.30*A*C+0.022*B*C+0.36*A20.038*B2+0.24*C2--------------------equation 2
Y3 (Capacity factor) = +2.06+0.45*A-0.14*B +1.000E-002 *C+0.088*A*B-0.24*A*C+0.033*B*C+0.29*A2-0.016*B2+0.20*C2----equation 3 |