An experiment was conducted on a chemical process that produces a polymer. The four factors studied were temperature A, catalyst concentration B, time C, and pressure D. Two responses, molecular weight and viscosity, were observed. The design matrix and response data are

Std Order	Actual Run Order	A	B	C	D	Molecular Weight	Viscosity	Point Type
1	14	-1	-1	-1	-1	3000	1610	1
2	9	1	-1	-1	-1	3013	1725	1
3	13	-1	1	-1	-1	2894	1748	1
4	8	1	1	-1	-1	3138	1875	1
5	3	-1	-1	1	-1	3269	1587	1
6	11	1	-1	1	-1	3281	1754	1
7	18	-1	1	1	-1	3000	1725	1
8	17	1	1	1	-1	3438	1863	1
9	6	-1	-1	-1	1	3000	1610	1
10	7	1	-1	-1	1	2988	1754	1
11	2	-1	1	-1	1	2875	1725	1
12	10	1	1	-1	1	3150	1725	1
13	4	-1	-1	1	1	3281	1633	1
14	19	1	-1	1	1	3288	1714	1
15	15	-1	1	1	1	3125	1725	1
16	20	1	1	1	1	3388	1840	1
17	1	0	0	0	0	3144	1725	0
18	5	0	0	0	0	3125	1679	0
19	16	0	0	0	0	3000	1754	0
20	12	0	0	0	0	3094	1725	0

In Natural Values the factor levels are:

A (degrees C) Low =100, High =120

B (%) Low =4% High =8%

C (minutes Low =20, High =30

D (psi) Low =60, High =75

a report to management of your analysis and recommendations. For both response variables it is expected that you create a model equation, assess if the model is linear (give reason) and assess the adequacy of the model. If the goal is to maximize the Molecular Weight, where would you recommend that the inputs be set - stated in natural values.Clearly state all of your conclusions in practical terms.

using minitab