Table 3. ANOVA Results of the Regression Equation for Y2.
source | sum of squares | df | F value | P value | R2 | R2 (adj) | significant |
---|---|---|---|---|---|---|---|
model | 8.19 | 9 | 327.49 | <0.0001 | 0.9976 | 0.9946 | significant |
X1 | 0.030 | 1 | 10.68 | 0.0137 | |||
X2 | 0.22 | 1 | 79.82 | <0.0001 | |||
X3 | 0.16 | 1 | 58.84 | 0.0001 | |||
X1X2 | 0.076 | 1 | 27.49 | 0.0012 | |||
X1X3 | 0.022 | 1 | 7.89 | 0.0262 | |||
X2X3 | 6.728 × 10–3 | 1 | 2.42 | 0.1638 | |||
X12 | 2.23 | 1 | 800.98 | <0.0001 | |||
X22 | 2.40 | 1 | 863.73 | <0.0001 | |||
X32 | 2.24 | 1 | 805.11 | <0.0001 | |||
residual | 0.019 | 7 | |||||
lack of fit | 8.206 × 10–3 | 3 | 0.97 | 0.4887 | not significant | ||
pure error | 0.011 | 4 | |||||
cor total | 8.21 | 16 |