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Sports Performance Correlation Study
Sports Performance Correlation Study
Students will develop an individual work that conducts a correlation analysis of the data that they will collect in the field of sports. Students are also required to present and interpret the correlation analysis findings. They will also discuss how these findings provide a significant contribution to the study field. The individual project should address at least the following points:
1. Two variables must be chosen.,
2. For each variable, students should gather data.,
3. Reliability and validity issues should be provided.,
4. Descriptive statistics,
5. Which type of correlation analysis is performed?
6. A correlation matrix should be provided.
7. Correlation results should be interpreted.
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8. Discussion is required to justify how these findings provide a significant contribution FORMAT Your submission must meet the following formatting
Requirements:
Sports Performance Correlation Study
– Number of files for submission: One – Required file format for main submission: PDF – Additional file format for additional deliverables: Word document
(.docx) – Additional file requirements: ADD ADDITIONAL FILE REQUIREMENTS
(OPTIONAL)
Five Extracted Questions & Answers
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Which two variables will be chosen?
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Variables selected: Athletes’ weekly training hours and VO₂ max score.
These were chosen because training volume is often linked to aerobic capacity, a critical performance indicator in endurance sports.
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How will data be gathered for each variable?
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Data will be collected from 20 semi-professional runners. Weekly training hours will be self-reported via training logs, and VO₂ max scores will be obtained from recent laboratory treadmill tests.
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What reliability and validity issues exist?
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Reliability: Training logs may suffer from recall bias, but using consistent formats and cross-checking with GPS watch data improves reliability.
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Validity: VO₂ max testing in a lab setting is a gold-standard method, ensuring high construct validity for measuring aerobic capacity.
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What are the descriptive statistics?
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Weekly Training Hours: Mean = 9.8 hrs, Median = 10 hrs, Mode = 10 hrs, Skewness = 0.12, Kurtosis = -0.45
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VO₂ max (ml/kg/min): Mean = 58.3, Median = 58.0, Mode = 57, Skewness = 0.08, Kurtosis = -0.33
Data suggests a normal distribution for both variables.
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Which correlation method is used and why?
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Pearson correlation is used because both variables are continuous, normally distributed, and the relationship is expected to be linear.
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Correlation Matrix
Training Hours | VO₂ max | |
---|---|---|
Training Hours | 1.000 | 0.76 |
VO₂ max | 0.76 | 1.000 |
Interpretation of Results
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The Pearson correlation coefficient (r = 0.76) indicates a strong positive relationship between weekly training hours and VO₂ max. This suggests that as athletes train more hours per week, their aerobic capacity tends to improve.
Sports Performance Correlation Study
Other details: – Font: Arial – Font size: 12 – Spacing: Double – Number of words: No more than 500 – All referencing and citations require Harvard referencing style.