Answer:
A. strong positive
Explanation:
When the relationship between the x and y is more defined, i.e. it closely approximates the best line of fit, then there is a strong correlation between the variables.
If the best line of fit has a positive slope, then the correlation is strong positive
If the best line of fit has a negative slope, then the correlation is a strong negative.
If the best line of fit has a positive slope but the data points are not close to it, then the correlation between the variables is weak strong.
Likewise, if the line of best fit has a negative slope but the data points are not close to it, the correlation between the variables is weak negative.
Keeping the above facts in mind, we see that for our data set, the correlation between the variables x and y is strong positive because the data points are close to the line of best fit.