
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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**More practice with correlation coefficients**
Using the table that appears below each pair of variables, please state the *direction and strength* (using Cohen’s rules of thumb) of each correlation coefficient, *r*. Assume all coefficients are statistically significant at *p < .05*.
Then, *interpret the correlation*. Please describe the pattern, *conceptually*, without using the word “correlated” in your description.
Finally, *explain why you can or cannot infer a causal relationship* between the two variables.
1. **Academic performance, anxiety: r = -.22**
- Direction & strength:
- Interpretation:
- Can you infer causality? Explain:
2. **Interest in Tik Tok, number of “followers” on Tik Tok: r = .35**
- Direction & strength:
- Interpretation:
- Can you infer causality? Explain:
3. **Self-focus, charitable donations: r = -.28**
- Direction & strength:
- Interpretation:
- Can you infer causality? Explain:
4. **Stress, physical symptoms: r = .44**
- Direction & strength:
- Interpretation:
- Can you infer causality? Explain:
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This transcription provides a structured format for exploring the concept of correlation coefficients, inviting learners to analyze the relationships between different variables.
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