10.18. Consider a design. Suppose after running the experiment, the largest observed effects are A % BD, B % AD, and D % AB. You wish to augment the original design with a group of four runs to de-alias these effects.

(a) Which four runs would you make?

(b) Find the variances and covariances of the regression coefficients in the model

(c) Is it possible to de-alias these effects with fewer than four additional runs?

Transcribed Image Text:

y= Bo+Bx + B2x2 + B4x4 + B12x1x2 + B4x7x4 + 24x2x4 + .