1. Construct a regression model using all of the independent variables.
2. Test all the significance of the overall regression model using a=0.05
3. Interpret the meaning of the regression coefficient for the rooms, crew, children, and frequency variables.
4. Using the p-values, identify which independent variable are significant with a=0.05
5. Construct a regression model using only the significant variable found in part of d and predict average age of employees that use social media, hours per day, and compare to relationship status.

ID	Age	Gender	SM Usage/Week	Years in Organization	Relationship Status
y	y1	y2	y3	y4	y5
1	28	0	10	5	0
2	35	1	5	8	1
3	22	0	15	2	0
4	45	1	8	20	2
5	30	0	12	7	0
6	40	1	6	15	1
7	25	1	8	3	1
8	32	1	7	10	2
9	28	0	12	4	0
10	37	0	9	12	1
11	29	1	3	6	2
12	33	1	10	8	2
13	26	0	14	3	0
14	41	1	7	18	0
15	31	0	8	5	1
16	27	0	11	4	0
17	36	1	5	13	2
18	24	1	9	2	0
19	38	1	12	16	1
20	30	0	8	7	1
21	34	1	6	10	2
22	23	0	14	3	0
23	39	0	7	14	1
24	29	1	10	6	2
25	42	1	8	12	2
26	32	1	11	5	0
27	26	0	9	8	0
28	44	0	6	19	1
29	33	1	13	4	0
30	27	1	8	11	2
31	35	0	10	13	0
32	28	1	7	6	1
33	37	1	12	8	1
34	30	0	8	3	2
35	34	0	9	10	0
36	23	1	14	5	1
37	39	1	6	16	2
38	29	1	10	7	2
39	42	0	8	2	0
40	32	0	12	14	0
41	26	0	7	6	1
42	44	0	9	8	0
43	33	1	11	3	2
44	27	0	6	10	0
45	35	1	13	5	1
46	28	1	8	16	1
47	37	0	7	7	2
48	30	0	11	2	0
49	25	1	9	14	1
50	41	0	10	6	2
51	31	0	12	67	2
52	29	0	8	3	0
53	24	1	10	22	0
54	43	0	5	8	1
55	28	1	15	14	0
56	36	0	7	4	2
57	26	1	9	11	0
58	33	0	8	5	1
59	27	1	13	13	1
60	38	1	11	7	2
61	30	1	6	9	0
62	35	0	9	2	1
63	23	0	14	17	2
64	42	1	8	6	2
65	29	1	9	5	0
66	26	0	10	14	0
67	35	1	6	3	1
68	25	0	11	15	0
69	37	0	13	8	2
70	31	1	7	11	0
71	34	1	5	4	1
72	22	1	12	15	1
73	40	0	8	7	2
74	28	1	9	13	0
75	41	0	10	6	1
76	33	0	7	9	2
77	27	1	11	20	2
78	45	1	5	5	0
79	32	1	14	12	0
80	29	0	8	14	1
81	36	0	10	4	0
82	28	1	7	9	2
83	39	1	12	15	0
84	31	0	8	6	1
85	24	1	9	18	1
86	37	1	14	10	2
87	30	0	6	5	0
88	25	0	11	10	1
89	35	1	9	14	2
90	29	1	13	6	2
91	38	1	7	8	0
92	23	0	10	4	0
93	40	0	8	11	1
94	32	0	6	5	0
95	27	0	12	16	2
96	44	1	9	8	0
97	34	0	7	3	1
98	26	1	13	14	1
99	36	1	8	6	2
100	30	0	11	10	0
Y1 = age of respondant
Y2 = 0 for Male; 1 for Female
Y3 = SM usage weekly
Y4 = Years in organization
Y5 = 0 for Single; 1 for Married; 2 for relationship