E3. Problem statement (25 pts) Oxidative thermal decomposition was studied as a method to decompose low-density polyethylene (LDPE) plastic waste and produces valuable liquid chemical feedstocks. The air feed rate, Ya, the reactor temperature, T, and the reaction time, t were identified the three primary factors affecting the liquid yield (%). The experimental data are given in the following table: Run # xT (C) X2-1 (h) (ml/min) y-liquid yield (% of feedstocks) 1 350 1 0.15 24.0 2 400 1 0.15 93.5 3 350 2 0.15 47.0 4 400+ 2 0.15 74.0 5 350 I 0.6 77.0 6 400 . 0.6 99.9 7 350 2 0.6 98.5 % 400 2 0.6 99.7 9 (repeat) 350 I 0.15 24.6 10 (repeat) 400 2 0.6 99.4 (1) (5 points) What experimental design was used? What are process factors, response variable, and factor levels? What could be two experimental objectives (reasons)? (2) (10 points) Please use the experimental data in the above table to conduct linear regression using Microsoft Excel to determine eight coefficients of s in the following linear regression model. Please provide your MS Excel file or a snapshot of Excel sheet to support your answers. Y-B+X+BX, +,X,++B,x,x,+Bxx,+Bx,x,+xxx (3) (5 points) Please use the ANOVA table to determine the significance of regressor terms in the model. (4) (5 points) Please provide R2 and F value and briefly interpret the meanings of these two parameters to determine the quality of the regression