Question

state if there appears to be a positive correlation, negative correlation, or no correlation. when there is a correlation, identify the relationship as linear or nonlinear. positive correlation: linear negative correlation: linear no correlation negative correlation: nonlinear

Explanation:

Step1: Observe data trend

As the x - values increase from 20 to 100, the y - values decrease from around 600 to around 200.

Step2: Determine correlation type

Since the y - values decrease as the x - values increase, it is a negative correlation.

Step3: Check linearity

The points seem to roughly follow a straight - line pattern. So it is linear.

Answer:

Negative correlation; Linear