To determine the type of correlation suggested by a scatter plot, you would need to analyze the distribution of the data points. Here’s how you can identify the correlation:
- Positive Correlation: As one variable increases, the other variable also increases. If the points trend upwards from left to right, it's a positive correlation.
- Negative Correlation: As one variable increases, the other variable decreases. If the points trend downwards from left to right, it's a negative correlation.
- No Correlation: If the points are scattered randomly with no discernible trend, they suggest no correlation.
Additionally, the terms "weak" and "strong" refer to how closely the points fit a trend.
- Weak Correlation means the points are spread out widely around the trend line or direction.
- Strong Correlation means the points are closely clustered around the trend line.
Without seeing the actual scatter plot, I cannot definitively tell you which correlation is suggested. Please review the scatter plot using these criteria to determine the appropriate answer.