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I've attached an image showing the data relationship.
Answer:
1) y does not change based on changes in x: no-correlation
2) y tends to increase as x increases: positive correlation
3) y tends to decrease as x increases: negative correlation
Step-by-step explanation:
1) y does not change based on changes in x: This means that there is no correlation between y and x since change in x doesn't affect y.
2) y tends to increase as x increases: This implies positive correlation because the output increases with increase in input.
3) y tends to decrease as x increases: This implies negative correlation because the output decreases with increase in input values.
