In the recent article, "Its a Marathon, Not A Sprint", discussed a metal disposition process in which a piece of metal is placed in an acid bath and an alloy is layered on top of it. The Key quality characteristic is the thickness of the alloy layer. The file THICKNESS contains the following variables:

Thickness: thickness of the allow layer:

Catalyst: catalyst concentration in the acid bath

pH: pH level of the acid bath

Pressure: Pressure in the tank holding the acid bath

Temp: temperature in the tank holding the acid bath

Voltage: voltage applied to the tank holding the acid bath

Thickness	Catalyst	pH	Pressure	Temp	Voltage
62.35	24	3	108	88	226
62.99	27	5	129	87	227
65.11	29	3	127	88	230
66.16	23	7	131	83	228
66.42	29	7	111	88	233
66.48	34	7	116	90	233
66.61	25	7	123	86	230
66.90	37	7	141	88	231
67.10	28	4	106	83	226
67.50	27	5	147	83	234
67.77	30	2	149	85	231
67.97	39	8	108	82	226
68.26	35	5	119	88	236
68.35	34	10	132	81	228
68.56	22	10	109	87	235
68.67	30	7	143	83	237
69.29	38	3	124	84	232
69.36	34	2	118	82	227
69.49	32	2	115	82	228
69.65	35	7	125	84	231
70.00	33	5	135	83	236
70.08	26	7	103	82	230
70.27	35	6	140	89	239
70.42	29	7	118	81	235
70.54	26	7	148	86	237
70.66	27	9	122	81	239
71.21	33	6	140	87	243
71.39	23	6	122	87	244
71.46	26	9	102	89	239
71.55	25	10	123	87	245
71.91	31	8	126	84	236
72.04	26	7	134	89	247
72.04	24	9	105	83	234
72.50	31	4	139	82	243
72.51	21	2	101	87	244
72.68	38	9	125	90	242
72.71	22	9	112	82	244
72.74	26	10	113	86	243
72.81	36	6	117	87	243
72.95	33	5	110	81	234
73.28	31	7	140	86	243
73.36	32	7	108	84	235
74.17	37	9	144	81	245
74.44	33	10	148	86	245
75.04	38	8	125	81	240
76.33	38	2	103	83	250
76.35	39	6	106	84	244
76.83	40	4	127	83	244
77.11	36	7	134	85	246
77.20	39	4	119	84	248

Develop the most appropriate multiple regression model to predict the thickness of the alloy layer. Be sure to perform a thorough residual analysis. The article suggests that there is a significant interaction between the pressure and the temperature in the tank. Do you agree?