highly significantp < 0.001
3.5 Polynomial response surface model The second-order polynomial RSM model was highly significant (F(5, 84) = 27.0, p < 0.001), explaining 59.4% of the total variation in bulb yield (Adjusted R2 = 0.5936).
3.5 Polynomial response surface model The second-order polynomial RSM model was highly significant (F(5, 84) = 27.0, p < 0.001), explaining 59.4% of the total variation in bulb yield (Adjusted R2 = 0.5936).
Although the initial linear coefficient was marginally significant ( p = 0.046), the overall response surface declined with dose, and the model identified 0 minutes as the optimal UV A+B exposure.