Answer:
The first graph.
Explanation:
Correlation coefficients, or r-values, range from -1 to 1. An r-value of -1 means the dependent variable decreases as the independent variable increases; it also means the data is perfectly linear. An r-value of 1 means the dependent variable increases as the independent variable increases; it also means the data is perfectly linear. An r-value of 0 means there is no correlation between the two variables.
In the first scatter plot, the data is scattered throughout the graph. There does not appear to be any pattern at all; this would be an r-value of 0.
In all three of the other graphs, the data appears to be linear; this would not be an r-value of 0.