Assuming that you are the actuary, help this insurance company to make policy decisions on insurance premiums. Your suggestions should be based on the above findings. You can propose to them to gather more evidence if there are important variables omitted in the above model.

table is below

Observation No	Age at death	Mother's age at death	Father's age at death	No of years of employment	Gender
1	74	77	73	12	Female
2	68	68	66	32	Female
3	73	73	66	32	Female
4	71	79	69	42	Female
5	73	76	60	42	Female
6	72	73	66	42	Male
7	73	78	63	35	Male
8	73	77	70	35	Male
9	70	74	59	32	Male
10	78	82	77	32	Male
11	72	77	66	42	Female
12	70	76	66	32	Male
13	70	74	68	35	Male
14	73	70	71	37	Male
15	81	85	72	17	Male
16	82	83	76	32	Female
17	67	81	62	37	Female
18	69	73	70	35	Female
19	73	72	65	32	Male
20	72	77	60	37	Female
21	63	66	56	38	Female
22	72	72	70	43	Female
23	68	69	67	27	Female
24	68	70	65	39	Female
25	80	89	72	22	Male
26	68	74	61	32	Male
27	72	77	66	27	Male
28	74	80	70	42	Male
29	73	67	74	42	Male
30	75	79	67	27	Female
31	75	83	65	22	Male
32	90	87	76	22	Male
33	84	91	71	22	Female
34	79	83	71	35	Male
35	72	79	63	42	Female
36	74	70	79	37	Male
37	75	80	70	37	Female
38	72	74	71	43	Female
39	78	73	71	22	Male
40	78	80	73	27	Male
41	75	78	63	17	Male
42	73	79	63	35	Male
43	78	86	76	20	Male
44	67	75	63	40	Female
45	71	68	64	40	Female
46	64	72	55	40	Female
47	83	84	77	27	Female
48	67	65	65	38	Male
49	75	77	65	37	Male
50	75	83	70	43	Male
51	78	86	68	33	Male
52	70	73	62	34	Female
53	73	78	68	42	Male
54	68	69	68	40	Female
55	75	72	75	47	Male
56	68	77	61	27	Male
57	69	75	61	32	Female
58	69	75	78	32	Male
59	72	72	59	30	Male
60	85	81	89	17	Male
61	79	83	69	42	Female
62	77	83	64	24	Female
63	69	72	60	37	Female
64	71	67	74	38	Female
65	78	83	75	32	Male
66	74	68	70	27	Male
67	73	79	69	32	Male
68	78	76	65	27	Male
69	76	74	68	32	Female
70	72	78	69	32	Male
71	71	78	59	43	Female
72	66	76	59	27	Female
73	69	73	65	33	Female
74	72	71	69	45	Female
75	69	76	62	34	Female
76	60	60	61	37	Female
77	84	83	81	32	Male
78	67	70	67	40	Male
79	77	81	69	33	Male
80	66	67	62	35	Male
81	71	67	67	27	Female
82	77	89	68	32	Male
83	75	80	69	27	Male
84	74	81	74	43	Male
85	76	77	71	27	Male
86	71	76	56	40	Female
87	81	85	74	20	Male
88	73	73	76	37	Male
89	81	75	76	22	Male
90	73	86	59	27	Male
91	73	74	68	35	Male
92	65	72	66	32	Female
93	74	89	62	32	Male
94	81	86	77	32	Male
95	73	79	63	32	Male
96	79	76	73	32	Male
97	64	69	65	37	Female
98	73	75	63	40	Male
99	76	74	72	27	Male
100	75	78	68	32	Male