A researcher wonders whether males get paid more, on average, than females at a large firm. She interviews 50 employees and collects data on each employee's hourly wage (Wage in $), years of higher education (EDUC), years of experience (EXPER), age (Age), and a Male dummy variable that equals 1 if male, 0 otherwise. A portion of the data is shown in the accompanying table.

Estimate: Wage = ₀ + ₁EDUC + ₂EXPER + ₃Age + ₄Male +

Wage	EDUC	EXPER	Age	Male
33.22	2	2	40	1
25.58	6	1	39	0
15.9	11	2	38	0
20.36	5	9	53	1
29.5	3	15	59	1
29.82	3	12	36	1
11.74	7	5	45	0
24.14	5	12	37	0
25.27	4	14	37	1
25.49	4	3	43	1
21.82	1	5	32	0
16.58	10	18	40	1
25.73	5	1	49	1
17.91	7	10	43	0
16.69	3	9	31	0
35.35	8	22	45	0
39.12	10	3	31	1
23.96	4	14	55	0
15.05	9	5	30	1
14.73	6	3	28	0
24.87	9	15	60	1
22.96	3	13	32	0
18.55	7	9	58	1
18.34	7	4	28	0
16.47	3	5	40	1
19.86	11	2	37	0
25.83	1	18	52	1
23.12	7	4	44	0
21.35	6	4	57	0
20.62	3	3	30	1
18.23	6	8	43	0
21.7	2	6	31	1
8.44	2	3	33	0
16.2	3	23	51	1
21.01	8	15	37	0
16.5	3	9	45	0
12.15	11	3	55	0
20.25	5	14	57	0
37.65	2	16	36	1
24.98	4	20	60	1
15.76	5	5	35	0
18.61	11	10	34	0
21.44	2	4	28	1
9.15	10	1	25	0
17.65	5	10	43	1
13.2	11	2	42	1
21.19	3	17	47	0
20.17	8	2	46	1
21.1	11	15	52	0
25.71	8	11	64	0