An experiment has $p =$ treatment and blocking factors. All factors have 2 levels and the design is a $1 /$ fractional factorial.

Part a) How many observations (runs) will the experiment have?

Part b) The linear model for analysis has an intercept, all main effects, and all 2-factor interaction effects, but no higher-order interaction effects. How many df are there for residuals? (If the number of model parameters exceeds the number of observations, enter zero.)

Part c) Can the model with an intercept, all main effects, and all 2-factor interaction effects be fit by least squares with this design?

A. It depends
B. No
C. Yes