Pearson Correlation Matrix
| Variables | 1. Study Time | 2. GPA | 3. Stress Level | 4. Sleep Hours |
|---|---|---|---|---|
| 1. Study Time | 1 | .62** | -.35* | .18 |
| 2. GPA | .62** | 1 | ...
Pearson Correlation Matrix
| Variables | 1. Study Time | 2. GPA | 3. Stress Level | 4. Sleep Hours |
|---|---|---|---|---|
| 1. Study Time | 1 | .62** | -.35* | .18 |
| 2. GPA | .62** | 1 | -.28 | .22 |
| 3. Stress Level | -.35* | -.28 | 1 | -.55** |
| 4. Sleep Hours | .18 | .22 | -.55** | 1 |
(*p < .05, **p < .01)
Interpretation
- Strong correlation:
There is a strong positive correlation between Study Time and GPA (r = .62). This suggests that students who study more tend to have higher GPAs. - Moderate correlation:
There is a moderate negative correlation between Study Time and Stress Level (r = -.35). This means that students who study more tend to feel slightly less stressed, although the relationship is not very strong. - Weak correlation:
There is a weak positive correlation between Study Time and Sleep Hours (r = .18). This suggests a very small relationship—study time does not strongly relate to how much students sleep.
Surprising / Non-significant Findings
One surprising result is the strong negative correlation between Stress Level and Sleep Hours (r = -.55). This indicates that students who sleep less tend to have much higher stress levels.
Also, the correlation between GPA and Stress Level (r = -.28) is weak and not statistically significant, suggesting that stress may not directly impact academic performance in this sample.