Apply multiple linear regression using the Bank Salaries dataset provided in the LMS Interpret the sign and the value of the estimated coefficients Employee Education Grade Years1 Years2 Age Gender PC Job Salary 1 3 1 3 1 26 Male No $32,000 2 1 1 14 1 38 Female No $39,100 3 1 1 12 0 35 Female No $33,200 4 2 1 8 7 40 Female No $30,600 5 3 1 3 0 28 Male No $29,000 6 3 1 3 0 24 Female No $30,500 7 3 1 4 0 27 Female No $30,000 8 3 1 8 2 33 Male No $27,000 9 1 1 4 0 62 Female No $34,000 10 3 1 9 0 31 Female No $29,500 11 3 1 9 2 34 Female No $26,800 12 2 1 8 8 37 Female No $31,300 13 2 1 9 0 37 Female No $31,200 14 2 1 10 6 58 Female No $34,700 15 3 1 4 0 33 Female No $30,000 16 3 1 3 0 27 Female No $31,000 17 3 1 6 0 30 Female No $27,000 18 2 1 8 9 37 Female No $29,600 19 3 1 5 6 44 Female No $32,600 20 2 1 4 3 29 Female No $29,600 21 3 1 4 2 36 Female No $29,500 22 2 1 3 3 28 Male No $31,000 23 1 1 5 0 45 Female No $28,500 24 2 1 3 4 33 Male No $26,700 25 3 1 3 1 24 Male No $30,750 26 3 1 3 1 27 Male No $29,500 27 2 1 16 6 60 Female No $42,200 28 1 1 13 0 48 Female No $37,600 29 1 1 12 6 40 Female No $34,000 30 2 1 4 7 33 Female No $33,000 31 1 1 7 4 35 Female No $28,760 32 1 1 11 0 44 Female No $35,400 33 3 1 3 8 43 Male No $31,000 34 2 1 18 2 46 Female No $38,800 35 2 1 14 0 42 Female No $34,300 36 1 1 19 0 47 Female No $35,000 37 3 1 3 2 25 Female Yes $34,600 38 2 1 2 4 30 Female No $28,500 39 1 1 11 0 40 Female No $29,500 40 3 1 3 2 26 Male No $30,500 41 3 1 5 1 32 Female No $34,200 42 1 1 15 0 51 Female No $43,600 43 5 1 7 0 35 Female Yes $33,500 44 3 1 12 1 37 Female No $33,000 45 1 1 18 0 44 Female No $45,300 46 1 1 17 3 53 Male No $38,800 47 1 1 10 0 40 Female No $29,900 48 3 1 5 10 51 Male No $31,200 49 1 1 15 0 42 Female No $34,000 50 2 1 2 0 53 Female No $30,450 51 1 1 3 3 58 Male No $35,500 52 1 1 4 10 44 Female Yes $34,000 53 2 1 7 0 31 Female No $29,100 54 1 1 8 0 64 Female No $29,650 55 3 1 15 1 47 Female No $29,200 56 3 1 9 0 37 Female Yes $29,800 57 2 1 16 0 46 Female No $33,500 58 1 1 8 0 55 Female No $34,000 59 1 1 9 0 39 Female No $29,600 60 3 1 18 0 51 Female No $34,000 61 2 2 3 8 37 Female No $37,250 62 2 2 6 3 30 Male No $33,000 63 3 2 4 0 26 Female No $28,600 64 5 2 5 1 41 Female Yes $36,000 65 3 2 4 4 34 Female Yes $37,300 66 2 2 7 4 57 Male No $29,900 67 1 2 11 8 53 Female No $31,500 68 3 2 5 4 32 Female Yes $41,400 69 1 2 17 5 44 Female No $32,740 70 3 2 3 1 25 Male No $33,500 71 1 2 5 9 31 Female No $32,000 72 1 2 9 0 50 Female No $30,800 73 5 2 3 3 47 Female Yes $42,000 74 3 2 4 0 35 Male No $34,000 75 2 2 16 0 43 Female No $32,500 76 2 2 9 10 46 Female No $31,700 77 5 2 3 0 35 Male No $36,500 78 3 2 4 0 22 Male No $33,000 79 2 2 8 0 58 Female No $31,200 80 5 2 8 0 40 Female No $34,000 81 3 2 6 0 30 Female No $33,000 82 5 2 4 4 29 Female No $33,900 83 1 2 3 9 31 Female Yes $39,000 84 2 2 12 18 52 Male No $34,920 85 5 2 3 5 33 Male No $39,000 86 1 2 8 0 49 Female No $34,000 87 2 2 6 7 34 Female No $31,900 88 5 2 3 1 26 Male No $37,000 89 5 2 4 0 28 Male No $34,000 90 5 2 3 2 35 Female No $36,400 91 1 2 15 1 47 Female Yes $38,200 92 1 2 15 0 51 Female No $35,300 93 3 2 3 2 26 Male No $34,500 94 3 2 12 0 33 Female No $30,500 95 4 2 2 2 27 Male No $30,000 96 5 2 8 0 34 Female Yes $37,300 97 4 2 5 0 29 Female No $40,200 98 3 2 5 0 27 Male No $35,500 99 1 2 11 0 43 Female No $35,000 100 3 2 4 3 36 Female No $38,000 101 1 2 9 0 38 Female No $35,300 102 2 2 14 0 60 Female No $34,100 103 3 3 4 5 43 Female Yes $43,200 104 2 3 15 5 48 Female No $36,100 105 5 3 7 3 32 Female No $34,600 106 3 3 5 0 31 Male No $36,000 107 5 3 7 2 29 Female No $36,200 108 3 3 7 0 35 Female No $37,500 109 3 3 4 12 37 Female No $41,000 110 2 3 10 0 43 Female No $35,600 111 3 3 5 5 33 Female No $39,800 112 4 3 11 4 58 Female Yes $41,300 113 3 3 9 7 44 Female No $42,500 114 3 3 4 8 37 Female Yes $45,800 115 5 3 5 6 48 Female No $34,900 116 5 3 4 0 26 Male No $41,500 117 3 3 5 0 25 Female No $38,000 118 4 3 6 0 38 Female No $35,000 119 3 3 6 0 41 Female No $40,000 120 3 3 5 0 29 Male No $36,000 121 2 3 9 0 59 Female No $33,700 122 2 3 5 4 29 Male No $36,300 123 3 3 3 2 27 Female Yes $38,000 124 5 3 4 0 30 Female No $39,500 125 2 3 7 5 34 Female No $36,300 126 3 3 8 2 35 Female No $32,500 127 2 3 12 6 50 Female No $37,000 128 5 3 3 1 33 Female No $32,600 129 3 3 4 0 26 Female No $36,000 130 5 3 3 0 36 Female No $35,000 131 5 3 3 5 33 Female Yes $43,600 132 3 3 8 0 47 Female No $33,800 133 1 3 21 0 51 Female No $35,300 134 1 3 16 6 42 Female No $42,400 135 5 3 5 0 31 Male No $39,500 136 2 3 25 10 62 Female No $43,500 137 5 3 6 1 46 Male No $42,000 138 3 3 21 9 60 Female No $40,300 139 4 3 6 5 43 Male No $44,000 140 1 3 25 2 53 Female No $40,660 141 3 3 13 1 38 Female No $39,700 142 5 3 6 5 39 Female No $45,000 143 5 3 7 0 35 Female No $43,900 144 4 3 8 3 40 Female No $38,000 145 5 3 5 3 32 Female No $39,020 146 5 4 5 3 33 Male No $44,500 147 5 4 4 1 30 Male No $41,000 148 5 4 6 3 37 Male No $44,000 149 5 4 6 0 30 Male No $44,000 150 5 4 5 4 32 Female No $42,500 151 5 4 7 3 37 Female No $40,260 152 5 4 5 1 29 Male No $44,500 153 1 4 13 9 50 Female No $35,500 154 5 4 6 0 29 Male No $42,500 155 5 4 7 0 32 Female No $44,000 156 5 4 6 2 31 Male No $45,000 157 2 4 15 4 47 Female No $44,400 158 3 4 17 0 44 Female No $38,000 159 5 4 4 0 27 Male No $41,800 160 1 4 23 0 55 Male No $45,500 161 3 4 5 4 52 Male No $42,500 162 5 4 3 12 50 Female No $44,000 163 3 4 19 8 59 Female Yes $54,300 164 3 4 26 0 47 Female No $44,800 165 3 4 6 4 43 Male No $47,000 166 5 4 15 0 41 Female No $43,800 167 1 4 12 4 39 Female Yes $48,000 168 5 4 9 0 39 Female No $42,700 169 3 4 14 1 40 Female Yes $48,500 170 3 4 16 0 49 Female No $42,000 171 2 4 16 1 53 Female No $45,500 172 3 4 11 0 37 Female No $44,500 173 2 4 13 2 40 Female No $51,200 174 5 5 7 0 34 Male No $47,500 175 5 5 8 0 37 Female No $44,500 176 5 5 8 0 31 Male No $47,000 177 5 5 6 10 41 Male No $47,000 178 3 5 17 4 46 Female No $43,100 179 5 5 8 2 37 Male No $49,000 180 5 5 8 0 33 Male No $48,500 181 3 5 8 5 35 Female No $45,000 182 5 5 16 5 49 Female No $52,500 183 5 5 6 2 33 Male No $47,500 184 5 5 7 0 31 Male No $48,000 185 5 5 8 4 49 Male No $46,500 186 5 5 12 2 40 Female No $61,500 187 5 5 9 2 37 Female No $50,000 188 5 5 12 2 46 Female No $61,800 189 4 5 16 0 43 Female No $43,000 190 5 5 11 1 36 Male No $47,000 191 5 5 9 6 37 Female No $58,500 192 5 5 16 7 40 Male No $55,000 193 3 5 24 3 54 Male No $57,000 194 5 5 17 1 57 Male No $57,000 195 5 6 14 0 49 Male No $60,000 196 3 6 13 0 41 Male No $60,000 197 5 6 19 4 59 Male No $59,000 198 5 6 12 0 51 Male No $60,000 199 5 6 20 0 45 Male No $65,000 200 5 6 20 1 56 Male No $52,000 201 5 6 22 0 57 Male No $58,000 202 4 6 21 0 53 Male No $60,000 203 5 6 39 0 65 Male No $74,000 204 3 6 34 0 60 Male No $95,000 205 5 6 36 0 61 Male No $97,000 206 5 6 32 0 62 Male No $88,000 207 5 6 35 0 59 Male No $94,000 208 5 6 33 0 62 Female No $30,000

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Question: Apply multiple linear regression using the Bank Salaries dataset provided in the LMS. Interpret the sign and the value of the estimated coefficients Employee Education

Apply multiple linear regression using the Bank Salaries dataset provided in the LMS. Interpret the sign and the value of the estimated coefficients

Employee	Education	Grade	Years1	Years2	Age	Gender	PC Job	Salary
1	3	1	3	1	26	Male	No	$32,000
2	1	1	14	1	38	Female	No	$39,100
3	1	1	12	0	35	Female	No	$33,200
4	2	1	8	7	40	Female	No	$30,600
5	3	1	3	0	28	Male	No	$29,000
6	3	1	3	0	24	Female	No	$30,500
7	3	1	4	0	27	Female	No	$30,000
8	3	1	8	2	33	Male	No	$27,000
9	1	1	4	0	62	Female	No	$34,000
10	3	1	9	0	31	Female	No	$29,500
11	3	1	9	2	34	Female	No	$26,800
12	2	1	8	8	37	Female	No	$31,300
13	2	1	9	0	37	Female	No	$31,200
14	2	1	10	6	58	Female	No	$34,700
15	3	1	4	0	33	Female	No	$30,000
16	3	1	3	0	27	Female	No	$31,000
17	3	1	6	0	30	Female	No	$27,000
18	2	1	8	9	37	Female	No	$29,600
19	3	1	5	6	44	Female	No	$32,600
20	2	1	4	3	29	Female	No	$29,600
21	3	1	4	2	36	Female	No	$29,500
22	2	1	3	3	28	Male	No	$31,000
23	1	1	5	0	45	Female	No	$28,500
24	2	1	3	4	33	Male	No	$26,700
25	3	1	3	1	24	Male	No	$30,750
26	3	1	3	1	27	Male	No	$29,500
27	2	1	16	6	60	Female	No	$42,200
28	1	1	13	0	48	Female	No	$37,600
29	1	1	12	6	40	Female	No	$34,000
30	2	1	4	7	33	Female	No	$33,000
31	1	1	7	4	35	Female	No	$28,760
32	1	1	11	0	44	Female	No	$35,400
33	3	1	3	8	43	Male	No	$31,000
34	2	1	18	2	46	Female	No	$38,800
35	2	1	14	0	42	Female	No	$34,300
36	1	1	19	0	47	Female	No	$35,000
37	3	1	3	2	25	Female	Yes	$34,600
38	2	1	2	4	30	Female	No	$28,500
39	1	1	11	0	40	Female	No	$29,500
40	3	1	3	2	26	Male	No	$30,500
41	3	1	5	1	32	Female	No	$34,200
42	1	1	15	0	51	Female	No	$43,600
43	5	1	7	0	35	Female	Yes	$33,500
44	3	1	12	1	37	Female	No	$33,000
45	1	1	18	0	44	Female	No	$45,300
46	1	1	17	3	53	Male	No	$38,800
47	1	1	10	0	40	Female	No	$29,900
48	3	1	5	10	51	Male	No	$31,200
49	1	1	15	0	42	Female	No	$34,000
50	2	1	2	0	53	Female	No	$30,450
51	1	1	3	3	58	Male	No	$35,500
52	1	1	4	10	44	Female	Yes	$34,000
53	2	1	7	0	31	Female	No	$29,100
54	1	1	8	0	64	Female	No	$29,650
55	3	1	15	1	47	Female	No	$29,200
56	3	1	9	0	37	Female	Yes	$29,800
57	2	1	16	0	46	Female	No	$33,500
58	1	1	8	0	55	Female	No	$34,000
59	1	1	9	0	39	Female	No	$29,600
60	3	1	18	0	51	Female	No	$34,000
61	2	2	3	8	37	Female	No	$37,250
62	2	2	6	3	30	Male	No	$33,000
63	3	2	4	0	26	Female	No	$28,600
64	5	2	5	1	41	Female	Yes	$36,000
65	3	2	4	4	34	Female	Yes	$37,300
66	2	2	7	4	57	Male	No	$29,900
67	1	2	11	8	53	Female	No	$31,500
68	3	2	5	4	32	Female	Yes	$41,400
69	1	2	17	5	44	Female	No	$32,740
70	3	2	3	1	25	Male	No	$33,500
71	1	2	5	9	31	Female	No	$32,000
72	1	2	9	0	50	Female	No	$30,800
73	5	2	3	3	47	Female	Yes	$42,000
74	3	2	4	0	35	Male	No	$34,000
75	2	2	16	0	43	Female	No	$32,500
76	2	2	9	10	46	Female	No	$31,700
77	5	2	3	0	35	Male	No	$36,500
78	3	2	4	0	22	Male	No	$33,000
79	2	2	8	0	58	Female	No	$31,200
80	5	2	8	0	40	Female	No	$34,000
81	3	2	6	0	30	Female	No	$33,000
82	5	2	4	4	29	Female	No	$33,900
83	1	2	3	9	31	Female	Yes	$39,000
84	2	2	12	18	52	Male	No	$34,920
85	5	2	3	5	33	Male	No	$39,000
86	1	2	8	0	49	Female	No	$34,000
87	2	2	6	7	34	Female	No	$31,900
88	5	2	3	1	26	Male	No	$37,000
89	5	2	4	0	28	Male	No	$34,000
90	5	2	3	2	35	Female	No	$36,400
91	1	2	15	1	47	Female	Yes	$38,200
92	1	2	15	0	51	Female	No	$35,300
93	3	2	3	2	26	Male	No	$34,500
94	3	2	12	0	33	Female	No	$30,500
95	4	2	2	2	27	Male	No	$30,000
96	5	2	8	0	34	Female	Yes	$37,300
97	4	2	5	0	29	Female	No	$40,200
98	3	2	5	0	27	Male	No	$35,500
99	1	2	11	0	43	Female	No	$35,000
100	3	2	4	3	36	Female	No	$38,000
101	1	2	9	0	38	Female	No	$35,300
102	2	2	14	0	60	Female	No	$34,100
103	3	3	4	5	43	Female	Yes	$43,200
104	2	3	15	5	48	Female	No	$36,100
105	5	3	7	3	32	Female	No	$34,600
106	3	3	5	0	31	Male	No	$36,000
107	5	3	7	2	29	Female	No	$36,200
108	3	3	7	0	35	Female	No	$37,500
109	3	3	4	12	37	Female	No	$41,000
110	2	3	10	0	43	Female	No	$35,600
111	3	3	5	5	33	Female	No	$39,800
112	4	3	11	4	58	Female	Yes	$41,300
113	3	3	9	7	44	Female	No	$42,500
114	3	3	4	8	37	Female	Yes	$45,800
115	5	3	5	6	48	Female	No	$34,900
116	5	3	4	0	26	Male	No	$41,500
117	3	3	5	0	25	Female	No	$38,000
118	4	3	6	0	38	Female	No	$35,000
119	3	3	6	0	41	Female	No	$40,000
120	3	3	5	0	29	Male	No	$36,000
121	2	3	9	0	59	Female	No	$33,700
122	2	3	5	4	29	Male	No	$36,300
123	3	3	3	2	27	Female	Yes	$38,000
124	5	3	4	0	30	Female	No	$39,500
125	2	3	7	5	34	Female	No	$36,300
126	3	3	8	2	35	Female	No	$32,500
127	2	3	12	6	50	Female	No	$37,000
128	5	3	3	1	33	Female	No	$32,600
129	3	3	4	0	26	Female	No	$36,000
130	5	3	3	0	36	Female	No	$35,000
131	5	3	3	5	33	Female	Yes	$43,600
132	3	3	8	0	47	Female	No	$33,800
133	1	3	21	0	51	Female	No	$35,300
134	1	3	16	6	42	Female	No	$42,400
135	5	3	5	0	31	Male	No	$39,500
136	2	3	25	10	62	Female	No	$43,500
137	5	3	6	1	46	Male	No	$42,000
138	3	3	21	9	60	Female	No	$40,300
139	4	3	6	5	43	Male	No	$44,000
140	1	3	25	2	53	Female	No	$40,660
141	3	3	13	1	38	Female	No	$39,700
142	5	3	6	5	39	Female	No	$45,000
143	5	3	7	0	35	Female	No	$43,900
144	4	3	8	3	40	Female	No	$38,000
145	5	3	5	3	32	Female	No	$39,020
146	5	4	5	3	33	Male	No	$44,500
147	5	4	4	1	30	Male	No	$41,000
148	5	4	6	3	37	Male	No	$44,000
149	5	4	6	0	30	Male	No	$44,000
150	5	4	5	4	32	Female	No	$42,500
151	5	4	7	3	37	Female	No	$40,260
152	5	4	5	1	29	Male	No	$44,500
153	1	4	13	9	50	Female	No	$35,500
154	5	4	6	0	29	Male	No	$42,500
155	5	4	7	0	32	Female	No	$44,000
156	5	4	6	2	31	Male	No	$45,000
157	2	4	15	4	47	Female	No	$44,400
158	3	4	17	0	44	Female	No	$38,000
159	5	4	4	0	27	Male	No	$41,800
160	1	4	23	0	55	Male	No	$45,500
161	3	4	5	4	52	Male	No	$42,500
162	5	4	3	12	50	Female	No	$44,000
163	3	4	19	8	59	Female	Yes	$54,300
164	3	4	26	0	47	Female	No	$44,800
165	3	4	6	4	43	Male	No	$47,000
166	5	4	15	0	41	Female	No	$43,800
167	1	4	12	4	39	Female	Yes	$48,000
168	5	4	9	0	39	Female	No	$42,700
169	3	4	14	1	40	Female	Yes	$48,500
170	3	4	16	0	49	Female	No	$42,000
171	2	4	16	1	53	Female	No	$45,500
172	3	4	11	0	37	Female	No	$44,500
173	2	4	13	2	40	Female	No	$51,200
174	5	5	7	0	34	Male	No	$47,500
175	5	5	8	0	37	Female	No	$44,500
176	5	5	8	0	31	Male	No	$47,000
177	5	5	6	10	41	Male	No	$47,000
178	3	5	17	4	46	Female	No	$43,100
179	5	5	8	2	37	Male	No	$49,000
180	5	5	8	0	33	Male	No	$48,500
181	3	5	8	5	35	Female	No	$45,000
182	5	5	16	5	49	Female	No	$52,500
183	5	5	6	2	33	Male	No	$47,500
184	5	5	7	0	31	Male	No	$48,000
185	5	5	8	4	49	Male	No	$46,500
186	5	5	12	2	40	Female	No	$61,500
187	5	5	9	2	37	Female	No	$50,000
188	5	5	12	2	46	Female	No	$61,800
189	4	5	16	0	43	Female	No	$43,000
190	5	5	11	1	36	Male	No	$47,000
191	5	5	9	6	37	Female	No	$58,500
192	5	5	16	7	40	Male	No	$55,000
193	3	5	24	3	54	Male	No	$57,000
194	5	5	17	1	57	Male	No	$57,000
195	5	6	14	0	49	Male	No	$60,000
196	3	6	13	0	41	Male	No	$60,000
197	5	6	19	4	59	Male	No	$59,000
198	5	6	12	0	51	Male	No	$60,000
199	5	6	20	0	45	Male	No	$65,000
200	5	6	20	1	56	Male	No	$52,000
201	5	6	22	0	57	Male	No	$58,000
202	4	6	21	0	53	Male	No	$60,000
203	5	6	39	0	65	Male	No	$74,000
204	3	6	34	0	60	Male	No	$95,000
205	5	6	36	0	61	Male	No	$97,000
206	5	6	32	0	62	Male	No	$88,000
207	5	6	35	0	59	Male	No	$94,000
208	5	6	33	0	62	Female	No	$30,000

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2. What is value to the user? How is it related to quality?

1. What is the definition of waste as it is used in this text?