The correlation coefficient (often denoted as \( r \)) measures the strength and direction of a linear relationship between two variables. Values of \( r \) range from -1 to 1, where:
- \( r = 1 \) indicates a perfect positive linear correlation,
- \( r = -1 \) indicates a perfect negative linear correlation,
- \( r = 0 \) indicates no linear correlation.
Since you've mentioned that the data represents a weak positive linear association, we would expect the correlation coefficient to be a small positive number.
Among the options you provided:
- \( -0.98 \) (a strong negative correlation)
- \( -0.3 \) (a weak negative correlation)
- \( 0.3 \) (a weak positive correlation)
- \( 0.98 \) (a strong positive correlation)
The only value that represents a weak positive linear association is 0.3.
Therefore, the correct response is 0.3.