Table 3.

Yield regression model analysis of variance

Source	Sum of square	df	Mean squares	F value	P value (Pr > F)	Significance
Model	860.75	20	43.04	64.29	< 0.0001	**
X1	1.01	1	1.01	1.51	0.2284
X2	47.24	1	47.24	70.57	< 0.0001	**
X3	19.62	1	19.62	29.31	< 0.0001	**
X4	404.18	1	404.18	603.81	< 0.0001	**
X5	182.84	1	182.84	273.14	< 0.0001	**
X1X2	3.94	1	3.94	5.89	0.0217	*
X1X3	2.62	1	2.62	3.91	0.0576
X1X4	39.41	1	39.41	58.87	< 0.0001	**
X1X5	0.72	1	0.72	1.08	0.3073
X2X3	0.51	1	0.51	0.77	0.3887
X2X4	11.58	1	11.58	17.30	0.0003	**
X2X5	3.48	1	3.48	5.20	0.0302
X3X4	2.07	1	2.07	3.09	0.0895
X3X5	0.028	1	0.028	0.042	0.8388
X4X5	0.44	1	0.44	0.66	0.4244
X12	6.65	1	6.65	9.93	0.0038	**
X22	3.46	1	3.46	5.17	0.0306	*
X32	0.58	1	0.58	0.86	0.3607
X42	136.06	1	136.06	203.36	< 0.0001	**
X52	8.12 × 10–3	1	8.12 × 10–3	0.012	0.9131
Residual	19.41	29	0.67
Lack of fit	17.20	22	0.78	2.47	0.1106
Error	2.21	7	0.32
Cor total	880.16	49

^**Extremely significantly (P < 0.01), *Significant (P < 0.05)