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
Table 2: Summary of results of regression analysis for responses Y1, Y2 and Y3.