A biology student wanted to see if runners from the track team would have a lower respiratory rate than non-runners during exercise. She determined each student's resting respiratory rate. Each student performed the same exercise for a total of 3 minutes, measuring their respiratory rate at the end of each minute. They continued to measure their respiratory rates for 3 more minutes after the exercising had stopped. The table below shows the average respiratory rate of these students over time. Time Runners Non-runners (minutes) (breaths/min) (breaths/min)Resting respiratory rate 0 14 18Exercise phase 1 18 30 2 20 34 3 24 40Post-exercise phase 4 22 39 5 17 36 6 14 32 Using data from the table above describes what patterns can be observed and explain the scientific theories you can infer from this data set. Your data analysis should include the following;

1. What patterns are present from the data set in the journal article

2. Do the patterns answer the aim/hypothesis of the research article

3. Generate insights from these patterns leading to a generalizable and testable theory.

4. Explain, support, or challenge aspects of published scientific research. (What can be improved from the literature)