DATA SET ID Age Activity level Pet Ownership Sleep Resting HR Post Workout HR 1 50 or older Active Cat 5 0 65 128 2 50 or older Active Dog 9 0 57 140 3 50 or older Active Dog 7 0 53 94 4 50 or older Active Dog 9 5 58 126 5 50 or older Active Cat 6 0 74 142 6 50 or older Active Dog 10 0 48 121 7 50 or older Active Dog 6 0 66 125 8 50 or older Active Dog 8 0 56 116 9 50 or older Active Cat 6 0 52 107 10 50 or older Active Dog 8 5 56 126 11 50 or older Active Other 10 0 50 95 12 50 or older Active Other 6 0 55 134 13 50 or older Active No pets 8 0 49 100 14 50 or older Active Other 6 5 66 95 15 50 or older Active Cat 8 0 61 144 16 50 or older Active Dog 7 5 60 108 17 50 or older Active Cat 7 0 70 114 18 50 or older Active Dog 8 0 46 121 19 50 or older Active Dog 7 0 66 105 20 50 or older Active Cat 9 0 75 78 21 50 or older Active No pets 8 0 59 102 22 50 or older Active Cat 9 0 75 118 23 50 or older Active Other 5 0 67 137 24 50 or older Active Cat 9 0 63 122 25 50 or older Active Dog 8 0 64 120 26 Younger than 50 Active Dog 7 5 69 119 27 Younger than 50 Active Dog 7 5 46 126 28 Younger than 50 Active Cat 8 0 68 113 29 Younger than 50 Active Dog 8 0 75 123 30 Younger than 50 Active Cat 9 0 68 89 31 Younger than 50 Active No pets 7 0 76 151 32 Younger than 50 Active Cat 8 0 61 103 33 Younger than 50 Active Cat 9 0 58 102 34 Younger than 50 Active Dog 8 0 59 126 35 Younger than 50 Active Other 9 0 48 98 36 Younger than 50 Active Dog 10 0 62 117 37 Younger than 50 Active No pets 6 0 72 106 38 Younger than 50 Active Dog 8 0 56 146 39 Younger than 50 Active Dog 10 0 51 80 40 Younger than 50 Active Dog 8 0 75 103 41 Younger than 50 Active Dog 5 5 67 107 42 Younger than 50 Active No pets 9 5 70 84 43 Younger than 50 Active Cat 6 0 55 126 44 Younger than 50 Active Cat 7 0 65 89 45 Younger than 50 Active Dog 8 0 55 141 46 Younger than 50 Active Dog 8 0 78 116 47 Younger than 50 Active Dog 8 0 78 130 48 Younger than 50 Active Cat 9 0 51 128 49 Younger than 50 Active Dog 5 0 50 120 50 Younger than 50 Active Dog 9 0 66 112 51 50 or older Sedentary Other 8 0 47 149 52 50 or older Sedentary Cat 6 0 70 128 53 50 or older Sedentary Dog 8 5 71 115 54 50 or older Sedentary No pets 7 0 72 105 55 50 or older Sedentary No pets 7 5 64 157 56 50 or older Sedentary No pets 5 0 78 124 57 50 or older Sedentary Dog 7 5 78 125 58 50 or older Sedentary Cat 6 0 65 150 59 50 or older Sedentary Dog 9 0 54 139 60 50 or older Sedentary Dog 5 0 62 125 61 50 or older Sedentary Dog 8 0 57 139 62 50 or older Sedentary No pets 9 0 69 137 63 50 or older Sedentary Dog 6 0 46 128 64 50 or older Sedentary No pets 10 0 70 115 65 50 or older Sedentary Dog 7 5 61 114 66 50 or older Sedentary Cat 7 0 70 145 67 50 or older Sedentary Dog 7 0 56 143 68 50 or older Sedentary Cat 8 5 56 133 69 50 or older Sedentary Other 8 0 67 114 70 50 or older Sedentary Other 6 0 74 109 71 50 or older Sedentary Dog 9 0 59 108 72 50 or older Sedentary Dog 7 0 63 145 73 50 or older Sedentary No pets 8 0 60 140 74 50 or older Sedentary Dog 6 0 47 128 75 50 or older Sedentary Cat 7 0 69 129 76 Younger than 50 Sedentary Cat 6 0 75 150 77 Younger than 50 Sedentary No pets 5 0 79 146 78 Younger than 50 Sedentary Other 7 0 76 151 79 Younger than 50 Sedentary Cat 5 0 80 143 80 Younger than 50 Sedentary Cat 6 0 68 162 81 Younger than 50 Sedentary Dog 7 5 77 161 82 Younger than 50 Sedentary No pets 7 5 74 155 83 Younger than 50 Sedentary No pets 10 0 70 154 84 Younger than 50 Sedentary No pets 8 0 70 176 85 Younger than 50 Sedentary Other 7 0 80 152 86 Younger than 50 Sedentary Cat 5 5 69 135 87 Younger than 50 Sedentary Cat 6 5 71 118 88 Younger than 50 Sedentary Dog 8 0 82 132 89 Younger than 50 Sedentary Cat 6 0 77 166 90 Younger than 50 Sedentary No pets 7 0 65 143 91 Younger than 50 Sedentary Other 5 0 70 131 92 Younger than 50 Sedentary Cat 5 0 68 136 93 Younger than 50 Sedentary Cat 6 0 72 168 94 Younger than 50 Sedentary Other 5 0 63 148 95 Younger than 50 Sedentary Cat 7 0 65 139 96 Younger than 50 Sedentary Cat 11 0 66 132 97 Younger than 50 Sedentary Other 6 5 74 155 98 Younger than 50 Sedentary No pets 10 0 75 145 99 Younger than 50 Sedentary No pets 8 0 79 125 100 Younger than 50 Sedentary No pets 7 5 65 153 Instructions Read these instructions carefully before you begin and plan to refer back to them as needed for information about the variables Open the data in Assignment 2 data csv into jamovi This dataset includes data collected from 100 adults who participated in a study about aging and physical well being Information was collected from these participants regarding various factors related to physical fitness and health, including Activity level How active participants are either Sedentary or Active Age How old participants are either Younger than 50 or 50 or older Pet Ownership What kind of pet does each participant own Cat, Dog, Other, or No pets Sleep How much sleep each participant typically gets per night measured in number of hours Resting HR Participants' heart rate measured at rest (i e , baseline, before workout), in beats per minute Post Workout HR Participants' cardiovascular reaction to exercise, heart rate measured immediately after completing a high intensity workout, in beats per minute For each question you will need to Identify the variable or variables in the dataset that match the described research scenario Choose the statistical approach (i e , hypothesis test) that is appropriate given the described research scenario Run the chosen statistical analysis in jamovi (including any necessary assumption tests note that for the purposes of this assignment simply note any violations to assumptions you may identify, but then proceed with the analysis) Make a decision about the null hypothesis(es) underlying your analysis Provide a detailed conclusion interpreting the results of each hypothesis test back to the research scenario using the format modelled in class examples and practice problems Answer any additional questions asked of you (where applicable) Question 4 9 marks The researchers want to know if sleep and resting heart rate together predict cardiovascular reactions to intense exercise a) What statistical approach (hypothesis test) should be used for this scenario Why (1 mark) b) Run the analysis in jamovi to answer your research question include the full output in response to this question (4 marks) c) Provide a conclusion of your analysis that interprets the results and relates them back to the research context using the conclusion write up format taught in class (4 marks)

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DATA SET: ID Age Activity level Pet Ownership Sleep Resting HR Post Workout HR 1 50 or older Active Cat 5.0 65 128 2 50

DATA SET:

ID	Age	Activity level	Pet Ownership	Sleep	Resting HR	Post Workout HR
1	50 or older	Active	Cat	5.0	65	128
2	50 or older	Active	Dog	9.0	57	140
3	50 or older	Active	Dog	7.0	53	94
4	50 or older	Active	Dog	9.5	58	126
5	50 or older	Active	Cat	6.0	74	142
6	50 or older	Active	Dog	10.0	48	121
7	50 or older	Active	Dog	6.0	66	125
8	50 or older	Active	Dog	8.0	56	116
9	50 or older	Active	Cat	6.0	52	107
10	50 or older	Active	Dog	8.5	56	126
11	50 or older	Active	Other	10.0	50	95
12	50 or older	Active	Other	6.0	55	134
13	50 or older	Active	No pets	8.0	49	100
14	50 or older	Active	Other	6.5	66	95
15	50 or older	Active	Cat	8.0	61	144
16	50 or older	Active	Dog	7.5	60	108
17	50 or older	Active	Cat	7.0	70	114
18	50 or older	Active	Dog	8.0	46	121
19	50 or older	Active	Dog	7.0	66	105
20	50 or older	Active	Cat	9.0	75	78
21	50 or older	Active	No pets	8.0	59	102
22	50 or older	Active	Cat	9.0	75	118
23	50 or older	Active	Other	5.0	67	137
24	50 or older	Active	Cat	9.0	63	122
25	50 or older	Active	Dog	8.0	64	120
26	Younger than 50	Active	Dog	7.5	69	119
27	Younger than 50	Active	Dog	7.5	46	126
28	Younger than 50	Active	Cat	8.0	68	113
29	Younger than 50	Active	Dog	8.0	75	123
30	Younger than 50	Active	Cat	9.0	68	89
31	Younger than 50	Active	No pets	7.0	76	151
32	Younger than 50	Active	Cat	8.0	61	103
33	Younger than 50	Active	Cat	9.0	58	102
34	Younger than 50	Active	Dog	8.0	59	126
35	Younger than 50	Active	Other	9.0	48	98
36	Younger than 50	Active	Dog	10.0	62	117
37	Younger than 50	Active	No pets	6.0	72	106
38	Younger than 50	Active	Dog	8.0	56	146
39	Younger than 50	Active	Dog	10.0	51	80
40	Younger than 50	Active	Dog	8.0	75	103
41	Younger than 50	Active	Dog	5.5	67	107
42	Younger than 50	Active	No pets	9.5	70	84
43	Younger than 50	Active	Cat	6.0	55	126
44	Younger than 50	Active	Cat	7.0	65	89
45	Younger than 50	Active	Dog	8.0	55	141
46	Younger than 50	Active	Dog	8.0	78	116
47	Younger than 50	Active	Dog	8.0	78	130
48	Younger than 50	Active	Cat	9.0	51	128
49	Younger than 50	Active	Dog	5.0	50	120
50	Younger than 50	Active	Dog	9.0	66	112
51	50 or older	Sedentary	Other	8.0	47	149
52	50 or older	Sedentary	Cat	6.0	70	128
53	50 or older	Sedentary	Dog	8.5	71	115
54	50 or older	Sedentary	No pets	7.0	72	105
55	50 or older	Sedentary	No pets	7.5	64	157
56	50 or older	Sedentary	No pets	5.0	78	124
57	50 or older	Sedentary	Dog	7.5	78	125
58	50 or older	Sedentary	Cat	6.0	65	150
59	50 or older	Sedentary	Dog	9.0	54	139
60	50 or older	Sedentary	Dog	5.0	62	125
61	50 or older	Sedentary	Dog	8.0	57	139
62	50 or older	Sedentary	No pets	9.0	69	137
63	50 or older	Sedentary	Dog	6.0	46	128
64	50 or older	Sedentary	No pets	10.0	70	115
65	50 or older	Sedentary	Dog	7.5	61	114
66	50 or older	Sedentary	Cat	7.0	70	145
67	50 or older	Sedentary	Dog	7.0	56	143
68	50 or older	Sedentary	Cat	8.5	56	133
69	50 or older	Sedentary	Other	8.0	67	114
70	50 or older	Sedentary	Other	6.0	74	109
71	50 or older	Sedentary	Dog	9.0	59	108
72	50 or older	Sedentary	Dog	7.0	63	145
73	50 or older	Sedentary	No pets	8.0	60	140
74	50 or older	Sedentary	Dog	6.0	47	128
75	50 or older	Sedentary	Cat	7.0	69	129
76	Younger than 50	Sedentary	Cat	6.0	75	150
77	Younger than 50	Sedentary	No pets	5.0	79	146
78	Younger than 50	Sedentary	Other	7.0	76	151
79	Younger than 50	Sedentary	Cat	5.0	80	143
80	Younger than 50	Sedentary	Cat	6.0	68	162
81	Younger than 50	Sedentary	Dog	7.5	77	161
82	Younger than 50	Sedentary	No pets	7.5	74	155
83	Younger than 50	Sedentary	No pets	10.0	70	154
84	Younger than 50	Sedentary	No pets	8.0	70	176
85	Younger than 50	Sedentary	Other	7.0	80	152
86	Younger than 50	Sedentary	Cat	5.5	69	135
87	Younger than 50	Sedentary	Cat	6.5	71	118
88	Younger than 50	Sedentary	Dog	8.0	82	132
89	Younger than 50	Sedentary	Cat	6.0	77	166
90	Younger than 50	Sedentary	No pets	7.0	65	143
91	Younger than 50	Sedentary	Other	5.0	70	131
92	Younger than 50	Sedentary	Cat	5.0	68	136
93	Younger than 50	Sedentary	Cat	6.0	72	168
94	Younger than 50	Sedentary	Other	5.0	63	148
95	Younger than 50	Sedentary	Cat	7.0	65	139
96	Younger than 50	Sedentary	Cat	11.0	66	132
97	Younger than 50	Sedentary	Other	6.5	74	155
98	Younger than 50	Sedentary	No pets	10.0	75	145
99	Younger than 50	Sedentary	No pets	8.0	79	125
100	Younger than 50	Sedentary	No pets	7.5	65	153

Instructions

Read these instructions carefully before you begin and plan to refer back to them as needed for information about the variables. Open the data in Assignment 2 data.csv into jamovi. This dataset includes data collected from 100 adults who participated in a study about aging and physical well-being. Information was collected from these participants regarding various factors related to physical fitness and health, including:

Activity level. How active participants are: either "Sedentary" or "Active."
Age.How old participants are: either "Younger than 50" or "50 or older."
Pet Ownership.What kind of pet does each participant own: "Cat," "Dog," "Other," or "No pets."
Sleep.How much sleep each participant typically gets per night: measured in number of hours.
Resting HR.Participants' heart rate measured at rest (i.e., baseline, before workout), in beats per minute.
Post Workout HR.Participants' cardiovascular reaction to exercise,heart rate measured immediately after completing a high intensity workout, in beats per minute.

For each question you will need to:

Identify the variable or variables in the dataset that match the described research scenario
Choose the statistical approach (i.e., hypothesis test) that is appropriate given the described research scenario
Run the chosen statistical analysis in jamovi (including any necessary assumption tests; note that for the purposes of this assignment simply note any violations to assumptions you may identify, but then proceed with the analysis)
Make a decision about the null hypothesis(es) underlying your analysis
Provide a detailed conclusion interpreting the results of each hypothesis test back to the research scenario using the format modelled in class examples and practice problems
Answer any additional questions asked of you (where applicable)

Question 4 [9 marks]

The researchers want to know if sleep and resting heart rate together predict cardiovascular reactions to intense exercise.

a) What statistical approach (hypothesis test) should be used for this scenario? Why? (1 mark)

b) Run the analysis in jamovi to answer your research question; include the full output in response to this question. (4 marks)

c) Provide a conclusion of your analysis that interprets the results and relates them back to the research context using the conclusion write up format taught in class (4 marks)