Determine the Multiple Linear Regression Analysis (MLRA) on the Dan Grump with the independent variables: Baby Sleep, Dan Sleep and the Number of Days. Interpret the results or write your report on the results of the (MLRA). Also, give your report on the assumption checks.

ID	dan.sleep	baby.sleep	dan.grump	day
1	7.59	10.18	56	1
2	7.91	11.66	60	2
3	5.14	7.92	82	3
4	7.71	9.61	55	4
5	6.68	9.75	67	5
6	5.99	5.04	72	6
7	8.19	10.45	53	7
8	7.19	8.27	60	8
9	7.4	6.06	60	9
10	6.58	7.09	71	10
11	6.49	11.68	72	11
12	6.27	6.13	65	12
13	5.95	7.83	74	13
14	6.65	5.6	67	14
15	6.41	6.03	66	15
16	6.33	8.19	69	16
17	6.3	6.38	73	17
18	8.47	11.11	52	18
19	7.21	5.51	61	19
20	7.53	6.69	53	20
21	8	9.74	54	21
22	7.35	9.02	63	22
23	6.86	6.44	74	23
24	7.86	9.43	56	24
25	4.86	3.46	82	25
26	5.87	6.32	72	26
27	8.4	7.95	59	27
28	6.93	7.69	66	28
29	7.21	7.45	60	29
30	6.99	7.56	67	30
31	8.17	7.95	44	31
32	7.85	11.61	53	32
33	6.27	4.7	76	33
34	8.66	8.52	41	34
35	4.98	4.7	86	35
36	6.19	8.32	60	36
37	6.41	9.38	63	37
38	4.84	4.18	89	38
39	7.03	5.98	61	39
40	7.66	9.29	57	40
41	7.51	6.01	59	41
42	7.92	10.54	60	42
43	8.12	11.78	48	43
44	7.47	11.6	53	44
45	7.99	11.35	50	45
46	5.44	5.63	72	46
47	8.16	6.98	57	47
48	7.62	6.03	60	48
49	5.87	4.66	70	49
50	9	9.81	46	50
51	8.31	12.07	58	51
52	6.71	7.57	68	52
53	7.43	11.35	58	53
54	5.9	5.47	71	54
55	8.52	8.29	52	55
56	6.03	6.8	74	56
57	7.29	10.63	59	57
58	7.32	8.59	59	58
59	6.88	7.82	67	59
60	6.22	7.18	67	60
61	6.94	8.29	61	61
62	7.01	11.08	64	62
63	7.2	6.46	61	63
64	6.3	3.25	61	64
65	8.72	9.74	54	65
66	7.82	8.75	62	66
67	8.14	11.75	52	67
68	7.27	9.31	64	68
69	6.7	7.73	65	69
70	7.55	8.68	65	70
71	7.38	9.77	57	71
72	7.73	9.71	59	72
73	5.32	4.17	79	73
74	7.86	10.18	53	74
75	6.35	9.28	67	75
76	7.11	7.23	61	76
77	5.45	6.38	82	77
78	7.8	9.2	68	78
79	7.13	8.2	67	79
80	8.35	10.16	54	80
81	6.93	8.95	53	81
82	7.07	6.8	62	82
83	8.66	8.34	50	83
84	5.09	6.25	80	84
85	4.91	6.75	91	85
86	7.03	9.09	62	86
87	7.02	10.42	64	87
88	7.67	8.89	57	88
89	8.15	9.43	54	89
90	5.88	6.79	72	90
91	5.72	6.91	78	91
92	6.66	6.05	63	92
93	6.85	6.32	59	93
94	5.57	8.62	74	94
95	5.16	7.84	76	95
96	5.31	5.89	79	96
97	7.77	9.77	51	97
98	5.38	6.97	82	98
99	7.02	6.56	55	99
100	6.45	7.93	74	100

Exploration ID 1 2 3 4 5 6 7 8 .9 $10 11 [177] 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Ready Variables ${ T-Tests 1 2 3 7.59 7.91 5.14 7.71 6.68 5.99 8.19 7.19 7.40 6.58 6.49 6.27 5.95 6.65 6.41 6.33 6.30 8.47 7.21 7.53 8.00 7.35 6.86 7.86 25 4.86 Filters O Type here to search 4 5 01 7 8 9 10 11 12 13 14 15 16 1898NNANG 17 20 21 22 23 Data 898 ANOVA dan.sleep 24 Analyses Edit Regression Frequencies baby.sleep ww Factor dan.grump 56 10.18 11.66- 7.92 9.61 9.75 5.04 10.45 8.27 6.06 7.09 11.68 6.13 7.83 5.60 6.03 8.19 6.38 11.11 5.51 6.69 9.74 9.02 6.44 9.43 3:46 Row count 100 Filtered O CANONJO89NGNN88NQUES 60 82 55 67 72 53 60 60 71 72 65 74 67 66 69 73 52 54 63 56 82 www day jamovi - S 2 3 4 5 6 7 co o 8 9 10 12 13 14 15 16 6EB99722NG 17 18 20 21 Deleted O Added O 24 25 E n Cells ec KX Exploration ID 1 2 3 4 5 6 7 8 .9 $10 11 [177] 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Ready Variables ${ T-Tests 1 2 3 7.59 7.91 5.14 7.71 6.68 5.99 8.19 7.19 7.40 6.58 6.49 6.27 5.95 6.65 6.41 6.33 6.30 8.47 7.21 7.53 8.00 7.35 6.86 7.86 25 4.86 Filters O Type here to search 4 5 01 7 8 9 10 11 12 13 14 15 16 1898NNANG 17 20 21 22 23 Data 898 ANOVA dan.sleep 24 Analyses Edit Regression Frequencies baby.sleep ww Factor dan.grump 56 10.18 11.66- 7.92 9.61 9.75 5.04 10.45 8.27 6.06 7.09 11.68 6.13 7.83 5.60 6.03 8.19 6.38 11.11 5.51 6.69 9.74 9.02 6.44 9.43 3:46 Row count 100 Filtered O CANONJO89NGNN88NQUES 60 82 55 67 72 53 60 60 71 72 65 74 67 66 69 73 52 54 63 56 82 www day jamovi - S 2 3 4 5 6 7 co o 8 9 10 12 13 14 15 16 6EB99722NG 17 18 20 21 Deleted O Added O 24 25 E n Cells ec KX