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2. Data Collection and Summary Data Collection: I collected data from 30 individuals, recording their average weekly exercise duration (in hours) and their corresponding resting
2. Data Collection and Summary
Data Collection: I collected data from 30 individuals, recording their average weekly exercise duration (in hours) and their corresponding resting heart rate (beats per minute). The data was obtained through self-reported exercise logs and heart rate monitors worn by the participants.
Participants | Exercise (hours/week) | Resting Heart Rate (bpm) |
1 | 3 | 72 |
2 | 2.5 | 75 |
3 | 4 | 70 |
4 | 5 | 68 |
5 | 2 | 77 |
6 | 3.5 | 71 |
7 | 4.5 | 69 |
8 | 2.2 | 74 |
9 | 3.8 | 70 |
10 | 3 | 72 |
11 | 1.5 | 78 |
12 | 2.7 | 73 |
13 | 3.3 | 71 |
14 | 4 | 70 |
15 | 2 | 76 |
16 | 5 | 67 |
17 | 3.2 | 77 |
18 | 2.8 | 74 |
19 | 3 | 73 |
20 | 4.5 | 68 |
21 | 1.8 | 77 |
22 | 3.5 | 70 |
23 | 2.9 | 73 |
24 | 4.2 | 69 |
25 | 2.3 | 75 |
26 | 3.7 | 71 |
27 | 1.9 | 76 |
28 | 3.4 | 72, |
29 | 2.1 | 75 |
30 | 3.6 | 70 |
Based on this data: Use Excel and include screenshots of the graphs please:
- make A one-variable analysis of your first variable, including a graph, measures of central tendency, and spread.
- make A one-variable analysis of your second variable, including a graph, measures of central tendency, and spread.
- make A graph of your two-variable data with regression line, r, r2, and separate residual plot.
- A discussion of the accuracy of the linear model.
- An application of your regression to predict two other outcomes not included in the original data, and discussion of limitations. REFERENCE: ILC ASSIGNMENT
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